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About GoodLeap: GoodLeap is a technology company delivering best-in-class financing and software products for sustainable solutions, from solar panels and batteries to energy-efficient HVAC, heat pumps, roofing, windows, and more. Over 1 million homeowners have benefited from our simple, fast, and frictionless technology that makes the adoption of these products more affordable, accessible, and easier to understand. Thousands of professionals deploying home efficiency and solar solutions rely on GoodLeap’s proprietary, AI-powered applications and developer tools to drive more transparent customer communication, deeper business intelligence, and streamlined payment and operations. Our platform has led to more than $27 billion in financing for sustainable solutions since 2018. GoodLeap is also proud to support our award-winning nonprofit, GivePower, which is building and deploying life-saving water and clean electricity systems, changing the lives of more than 1.6 million people across Africa, Asia, and South America. Position Summary We are looking for a highly experienced Staff Engineer with deep expertise in the software industry with emphasis on application development using Gen AI and Machine Learning. In this role, you will drive the architectural vision for our AI enterprise platform, ensuring we build scalable, reliable, and high-performance systems leveraging LLMs, Machine learning and agentic AI framework. You’ll partner with leadership, product, and engineering teams to shape the technical roadmap, mentor engineers, and solve complex problems that scale our AI systems to support rapid growth. As a Staff Engineer, you will set technical direction, lead critical initiatives, and be a key decision-maker on AI strategies, ensuring our platform stays at the forefront of innovation and security. <h3>Essential Job Duties and Responsibilities</h3> <ul> <li>Lead the design and development of large-scale, mission-critical AI enterprise agentic platform that integrates with other Goodleap systems and services.</li> <li>Architect highly scalable, resilient, and secure systems that can handle large volumes and traffic.</li> <li>Provide technical leadership across teams, guiding decisions on architecture, design patterns, and best practices.</li> <li>Collaborate with product and engineering leaders to align technical solutions with business objectives.</li> <li>Drive cross-functional projects to enhance the integration, reliability and performance of our AI enterprise platform.</li> <li>Ensure compliance with industry regulations, including legal standards.</li> <li>Mentor senior and mid-level engineers, fostering a culture of growth, learning, and technical excellence.</li> <li>Evaluate and implement new emerging technologies and tools to continuously improve our systems and development processes.</li> <li>Contribute to key architectural decisions, including the design of microservices and the adoption of new AI technologies including LLMs, Voice, Image etc.</li> </ul><h3>Required Skills, Knowledge, and Abilities</h3> <ul> <li>8+ years of experience in software engineering, with a strong background in building enterprise platforms at scale with expertise in AI/ML.</li> <li>Experience in designing and deploying real-time LLM systems at scale.</li> <li>Experience in evaluating, monitoring, and iterating on LLM solutions.</li> <li>Experience in ML packages and tools, Tensorflow / PyTorch, Sagemaker, MLFlow, OpenAI API</li> <li>Expertise in Node, TypeScript, and Python. Knowledge of .NET is good to have</li> <li>Strong expertise in designing systems for high availability, fault tolerance, and scalability.</li> <li>Experience in cloud infrastructure (AWS) with a focus on performance, security, and monitoring.</li> <li>Expertise in distributed systems architecture, microservices, and RESTful APIs.</li> <li>Ability to influence technical direction and work cross-functionally with product, engineering, and executive teams.</li> <li>Strong leadership skills, with a proven ability to mentor and lead engineering teams.</li> <li>Strong analytical and problem-solving skills, with an ability to thrive in a fast-paced, dynamic environment.</li> Bonus Points (optional section) <li>Experience with integration of AI/ML solutions with Salesforce &amp; Genesys</li> <li>Experience in building multi-agent solutions and reinforcement learning</li> <li>Experience in FinTech or other highly regulated industries.</li> <li>Strong track record of managing complex technical debt and driving long-term architectural strategy.</li> </ul>Additional Information Regarding Job Duties and Job Descriptions: Job duties include additional responsibilities as assigned by one's supervisor or other managers related to the position/department. This job description is meant to describe the general nature and level of work being performed; it is not intended to be construed as an exhaustive list of all responsibilities, duties and other skills required for the position. The Company reserves the right at any time with or without notice to alter or change job responsibilities, reassign or transfer job position or assign additional job responsibilities, subject to applicable law. The Company shall provide reasonable accommodations of known disabilities to enable a qualified applicant or employee to apply for employment, perform the essential functions of the job, or enjoy the benefits and privileges of employment as required by the law. If you are an extraordinary professional who thrives in a collaborative work culture and values a rewarding career, then we want to work with you! Apply today!

GoodLeap LLC

Staff Software Engineer, AI

Primary Purpose of job: This position is responsible for programming, testing, implementing, supporting, and maintaining data pipelines, data stores (e.g., Data Warehouse, Mart, Hub, etc.), and business intelligence models. This position relies on instructions and pre-established guidelines to perform the functions of the job. Major Functions: Development (50%) <ul> <li> Write, modify, extend and debug data pipelines based on QuikTrip’s Software Development Lifecycle (SDLC) process. Specific duties will include: <ul> <li>Data Extraction and Analysis: Connect to diverse data sources and perform data analysis to determine if data is suitable for needs.</li> <li>Development of automated data pipelines to extract, cleanse, and transform data for intended business use.</li> <li>Development of automated processes to consolidate diverse sources of similar data in to a single source of truth for QuikTrip (e.g. store, product, employee, etc.).</li> <li>Development of automated data quality monitoring and alert processes</li> <li>Model and publish data sets for users to access through reporting and business intelligence technologies.</li> <li>Possesses and apply working knowledge of multiple languages and tools utilized by QuikTrip during development process. Common tools and languages: ETL, T-SQL, Data Profiling and MDM tools, BI Modeling Tools (e.g. SSAS, Power BI), and Programming Languages (e.g. C#).</li> </ul> </li> <li>Adhere to QuikTrip’s standards and best practices.</li> <li>Have extensive knowledge of development tools and environments utilized by QuikTrip.</li> <li> May act as a Product Technical Owner of a software product on occasion: <ul> <li>Accountable for the technological performance of the product:</li> <li>Software</li> <li>Hardware</li> <li>Virtual Ware</li> <li>Tech Teams – Development, Data, Infrastructure, Contractors, and Professional Services</li> </ul> </li> </ul> <ul> <li>Responsible for adherence to strategic plan while remaining focused on the teams handling the product.</li> <li>Responsible for the technical requirements.</li> <li>Responsible for Technical User Story acceptance.</li> <li>Manages the technical debt of the product.</li> <li>Manages conflicts of interest within the development team.</li> <li>Coordinates coding efforts across one or more development teams.</li> <li>Holds Development, Technical, Professional Services, Data, and other IT teams accountable within the framework of the product.</li> <li>Accepts input and guidance from our Architecture, Infrastructure and Development teams and acts as the one voice back to Professional Services on technology related items when decisions need to be made.</li> <li>Leads trouble-shooting efforts by getting the right expertise involved and calling “war rooms” together when necessary.</li> <li>Acts as Scrum Master when the development team and PTO agree this is appropriate</li> </ul> Technical Support (35%) <ul> <li>Resolve technical issues utilizing excellent customer service skills, problem solving skills, and technical thinking/reasoning skills following established support process and metrics guidelines.</li> <li>Measure and analyze incoming issues to determine root cause and develop technical and training solutions to minimize reoccurrences and severity; report results to management.</li> <li>Accurately document all customer issues, resolution steps, and gather feedback in support tracking software to enhance identifying and reporting trends leading to recurring technical problems.</li> <li>Develop and publish support documentation for internal users for troubleshooting, training and other areas as needed.</li> <li>Gather and forward customer feedback and suggestions for product improvement.</li> <li>Position requires 24x7 support.</li> </ul> Training (10%) <ul> <li>Seek input from team members and supervisors on areas to improve skill set.</li> <li>Actively applies feedback received into day-to-day work and strives to improve performance</li> <li>Actively train with senior level developers to improve development skills and system knowledge.</li> <li>Actively utilize training outlets as necessary to improve development skills. This could take the form of multiple items, including but not limited to self-study, in-house classes, seminars or online training.</li> <li>Maintain professional and technical knowledge by attending ongoing training workshops, reviewing professional publications, reviewing industry best practices/procedures and reviewing new technologies to determine fit within the organization.</li> <li>Assist in development of junior data engineers on skills or system knowledge through mentoring, knowledge transfer, code review, and shadowing.</li> </ul> Administration and Communication (5%) <ul> <li>Listen to others and accept input from team members.</li> <li>Clearly articulate ideas and thoughts both in verbal and written formats.</li> <li>Accurately prepares written business correspondence that is coherent, grammatically correct, effective and professional.</li> <li>Timely communicate status updates with the project manager or lead, the project team, and/or key customers and supervisor regarding specific assignments and overall scheduling/coordination needs.</li> <li> Accurately record project and trouble call work assignment updates within timeframes determined by departmental standards or individual supervisors. <ul> <li>Record time tracking.</li> <li>Identify individual task progress.</li> <li>Identify task completion.</li> </ul> </li> </ul> Position in Organization: Reports to: Data Engineering Manager Relationships: Inside the Company: Information Technology staff and primary users of systems from other departments. Outside the Company: N/A Position Specifications: The required specifications (education, experience, and skills) are those that the employee must have to hold the position. Applicants applying for this position must possess the required specifications in order to be considered for the job. The desired specifications are those that are not required for the employee to hold the position, but the employee should try to obtain the desired education, experience, and/or skills to be effective and successful in the position. Required education: High school graduate or equivalent. College or technical school courses in one or more programming languages or data tools used at QuikTrip. Desired education: College degree in Computer Science, MIS, Mathematics, or related discipline. Required experience: 3-5 years’ experience in programming data solutions. Familiar with all aspects of systems analysis, design, and installation procedures in a business environment. Desired experience: 5+ years professional experience including developing data solutions in a business environment, installing and troubleshooting hardware and software problems. Required skills: Proficient in one or more of QuikTrip’s data technologies or languages. Good problem-solving skills. Familiar with a variety of IT concepts, practices and procedures. Good written and verbal communication skills and time management skills. Desired skills: Proficiency in all programming languages and data tools in use at QuikTrip. Additional criteria: This position requires good communications skills to assist customers with problems. Ability to work in a fast-paced team environment. Works under direct supervision. Intermittent or extended travel may be required based on project or support requirements and may encompass Holidays and non-standard working hours. Starting Salary: $106,500-$133,100

QuikTrip

Data Engineer II

<h1> Data Scientist|Corporate</h1> Location US-Remote | US-CO-Denver <dl> <dt>Job ID</dt> <dd> 2025-21817 </dd> <dt> Location Name </dt> <dd> Remote </dd> <dt>Category</dt> <dd> Marketing </dd> <dt>Type</dt> <dd> Regular Full-Time </dd> </dl> <h2> Oak View Group </h2> Oak View Group is the global leader in venue development, management, and premium hospitality services for the live event industry. Offering an unmatched, 360-degree solution set for a collection of world-class owned venues and a client roster that includes the most influential, highest attended arenas, convention centers, music festivals, performing arts centers, and cultural institutions on the planet. <h2> Position Summary </h2> The Media &amp; Conferences department of Oak View Group (OVG) is hiring a Data Scientist as we look to expand our data offerings to customers and other stakeholders in the live entertainment industry. This pivotal role involves leveraging advanced data science techniques to drive innovation and strategic insights. As a Data Scientist, you will apply your expertise in machine learning, predictive analytics, and statistical modeling to solve complex problems and enhance business decisions. You will collaborate with various departments to design and implement models that improve our operational efficiency and customer experiences across the live entertainment industry and our range of products and services. Reporting to the Chief Technology Officer, you will also play a key role in mentoring other team members and leading data-driven projects across Media &amp; Conferences and Oak View Group as a whole. This role will pay a salary of $138,000 to $154,000 For FT roles: Benefits: Health, Dental and Vision insurance, 401(k) savings plan, 401(k) matching, and paid time off (vacation days, sick days, and 12 holidays) This position will remain open until May 31, 2025 <h2> About the Venue </h2> Pollstar is the leading editorial voice of the live entertainment touring industry for 36 years. Pollstar is known for its proprietary historical database of live events and wishes to further leverage this unique data set to enable deeper industry use. <h2> Responsibilities </h2> <ul> <li>Develop and refine predictive models and algorithms to forecast trends and behaviors in customer data, operational metrics, and financial performance.</li> <li>Perform deep statistical analysis and apply advanced machine learning techniques to large, complex data sets to extract actionable insights.</li> <li>Collaborate with business intelligence teams to integrate data science outcomes into broader analytics platforms and decision-making tools.</li> <li>Design and execute experiments to test hypotheses and drive product and service innovations.</li> <li>Communicate complex data science concepts and the results of analyses clearly to both technical and non-technical stakeholders.</li> <li>Stay abreast of industry trends and advancements in data science, bringing in new methodologies and technologies to enhance the team's capabilities and workflows.</li> <li>Support the Data Services team in providing value to customers.</li> <li>Assist the Pollstar research and editorial team in analyzing and reporting on business trends.</li> <li>Assist in the development of new features, charts and other services that add value to Pollstar data and support better decision-making industry-wide.</li> </ul> <h2> Qualifications </h2> <ul> <li>Bachelor's degree in Data Science, Statistics, Computer Science, or a related quantitative field.</li> <li>6-9 years of professional experience in data science, with demonstrated expertise in predictive modeling, machine learning, and statistical analysis.</li> <li>Proficiency in data science tools and programming languages such as Python, R, SQL, and familiarity with big data technologies.</li> <li>Strong experience with machine learning frameworks and libraries (e.g., scikit-learn, TensorFlow, PyTorch).</li> <li>Familiarity with the use of standard API’s and data formats, such as JSON and XML.</li> <li>Proven ability to manage and analyze large data sets from multiple sources, ensuring accuracy and effectiveness in insights.</li> <li>Excellent problem-solving skills with the ability to initiate and lead projects independently.</li> <li>Strong communication skills, capable of presenting complex data insights in a clear and effective manner.</li> </ul> Preferences <ul> <li>Previous experience with cloud data platforms, especially Azure, is a plus.</li> <li>Experience with C# and .NET is also welcome. </li> </ul> <h2> Strengthened by our Differences. United to Make a Difference </h2> At OVG, we understand that to continue positively disrupting the sports and live entertainment industry, we need a diverse team to help us do it. We also believe that inclusivity drives innovation, strengthens our people, improves our service, and raises our excellence. Our success is rooted in creating environments that reflect and celebrate the diverse communities in which we operate and serve, and this is the reason we are committed to amplifying voices from all different backgrounds. <h2> Equal Opportunity Employer </h2> Oak View Group is committed to equal employment opportunity. We will not discriminate against employees or applicants for employment on any legally recognized basis (“protected class”) including, but not limited to veteran status, uniform service member status, race, color, religion, sex, national origin, age, physical or mental disability, genetic information or any other protected class under federal, state, or local law. <h2>Options</h2> <a href="https://careers-ovg.icims.com/jobs/21817/data-scientist%7ccorporate/job?mode=apply&amp;apply=yes&amp;hashed=-336146222" target="_blank"> Apply NowApply </a><a href="#">Share this job with your Network.</a><a href="https://careers-ovg.icims.com/jobs/21817/data-scientist%7ccorporate/referral?hashed=-435710684" target="_blank"> Email this job to a friend.Refer this job to a friend. </a> We apologize for the inconvenience. The "Share" function is not working properly at this time. Please refresh the page and try again later. We appreciate your excitement about this opening! Share on Social Media! <a href="#"></a><a href="#"></a><a href="#"></a><a href="#"></a> <h2> Need help finding the right job? </h2> We can recommend jobs specifically for you! <a href="https://careers-ovg.icims.com/connect?back=intro&amp;findajob=1&amp;hashed=-435710684" target="_blank"> Click here to get started. </a> <a href="https://icims.help/candidate-faq" target="_blank">Application FAQs</a>Software Powered by iCIMS <a href="http://www.icims.com/platform_help?utm_source=platform&amp;utm_medium=link&amp;utm_content=page1&amp;utm_campaign=platform%20help" target="_blank">www.icims.com</a>

Oak View Group

Data Scientist|Corporate

<h2> Data Analyst </h2> <a href="#"> apply now </a> <a href="#"> Back To Search Results </a> LOCATION: Oklahoma City, Oklahoma FLEXIBILITY: Hybrid/Onsite SALARY: $0 - $ SALARY: $45 - $50/hour POSTED: March 4, 2025 JOB TYPE: Contract JOB ID: 30697 <h4>I want more jobs Like this in My inbox.</h4> <a href="#"> Job alerts </a> <h4> Job details </h4> <h4><a href="https://jobs.inceed.com/job/30697" target="_blank">To Apply for this Job Click Here</a></h4> Compensation: $45.00/hr.-$50.00/hr. Location: Oklahoma City, Oklahoma Position: Data Analyst Inceed has partnered with a great company to help find a skilled Data Analyst to join their team! Our client is seeking a resource to manage and optimize their data within the SAP Plant Maintenance (PM) module as part of their upgrade to S4. Required Qualifications &amp; Experience: <ul> <li> Field Experience: Proven background in a role such as a field technician or facility technician, with strong operational and technical knowledge. </li> <li> Data Analysis Expertise: Demonstrated ability to analyze and interpret data to drive insights and inform decision-making. </li> <li> SAP Proficiency: Experience using SAP for various operational tasks, including work order management, inventory control, and asset management. </li> </ul> Nice to Have Skills &amp; Experience: <ul> <li> Experience with Snowflake: Familiarity with Snowflake for data warehousing and analytics. </li> <li> Experience with SAP PM Module: Knowledge of the SAP Plant Maintenance (PM) module for managing maintenance processes and work orders. </li> </ul> Perks &amp; Benefits: <ul> <li>3 different medical health insurance plans, dental, and vision insurance </li> <li>Voluntary and Long-term disability insurance </li> <li>Paid time off, 401k, and holiday pay </li> <li>Weekly direct deposit or pay card deposit </li> </ul> If you are interested in learning more about the Data Analyst opportunity, please submit your resume for consideration. We are unable to provide sponsorship at this time. We are Inceed, a staffing direct placement firm who believes in the possibility of something better. Our mission is simple” We’re here to help every person, whether client, candidate, or employee, find and secure what’s better for them. Inceed is an equal opportunity employer. Inceed prohibits discrimination and harassment of any type and affords equal employment opportunities to employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity, or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. #LI-BS1 #LI-onsite <h4><a href="https://jobs.inceed.com/job/30697" target="_blank">To Apply for this Job Click Here</a></h4> <h4>I want more jobs Like this in My inbox.</h4> <a href="#"> Job alerts </a> <h5> Share This Job </h5> <a href="https://www.facebook.com/sharer.php?u=https://jobs.inceed.com/job/30697-data-analyst-oklahoma-city-oklahoma/" target="_blank"> </a> <a href="https://twitter.com/intent/tweet?url=https://jobs.inceed.com/job/30697-data-analyst-oklahoma-city-oklahoma/" target="_blank"> </a> <a href="https://www.linkedin.com/shareArticle?mini=true&amp;url=https://jobs.inceed.com/job/30697-data-analyst-oklahoma-city-oklahoma/" target="_blank"> </a> Copied <a href="#"> </a> <h5> Share This Job </h5> <a href="https://www.facebook.com/sharer.php?u=https://jobs.inceed.com/job/30697-data-analyst-oklahoma-city-oklahoma/" target="_blank"> </a> <a href="https://twitter.com/intent/tweet?url=https://jobs.inceed.com/job/30697-data-analyst-oklahoma-city-oklahoma/" target="_blank"> </a> <a href="https://www.linkedin.com/shareArticle?mini=true&amp;url=https://jobs.inceed.com/job/30697-data-analyst-oklahoma-city-oklahoma/" target="_blank"> </a> Copied <a href="#"> </a> <h4> Apply Now </h4> "*" indicates required fields <h2> About Us </h2> Inceed is a staffing and recruiting team full of people-loving people. Specializing in the IT and Finance &amp; Accounting fields, we thrill at the opportunity to help you discover the next step in your career or, as we call it, your “something better”. And with the broad reach of our multiple branches, we’re able to do so nationwide. It feels weird tooting our own horn, but we are super proud to be: (same list awards and recognitions) Once we synch up with you to discuss a job posting, we value connection above all else. After all, how can we know if it’s a culture fit, a lifestyle fit, a passion fit, if we don’t truly know the person behind the resume?

Inceed

Data Analyst

Ready to be pushed beyond what you think you’re capable of? At Coinbase, our mission is to increase economic freedom in the world. It’s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform — and with it, the future global financial system. To achieve our mission, we’re seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company’s hardest problems. Our <a href="https://www.coinbase.com/mission" target="_blank">work culture</a> is intense and isn’t for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there’s no better place to be. Data Science is an integral component of Coinbase’s product and decision making process: we work in partnership with Product, Engineering and Design to influence the roadmap and better understand our users. With a deep expertise in experimentation, analytics and advanced modeling, we produce insights and drive decisions which directly move the company’s bottom line. We’re looking for an experienced manager to lead the Developer data science team, a fast growing area of the business that’s not only working on some of the most cutting edge web3 applications, but which is also critical to Coinbase’s mission of bringing one billion people onchain. They’ll work with their team to devise strategies to help grow the product, support a culture of experimentation, and hold a high bar for rigorous and analytical decision making. What you’ll be doing (ie. job duties): <ul> <li>Manage, mentor and grow a team of data scientists and build solid working partnerships with product teams</li> <li>Act as a strategic thought partner to product teams and Coinbase executives; lead the team to execute on data-based analyses to help prioritize product opportunities and provide actionable recommendations </li> <li>Standardize best practices for analysis, modeling and experimentation; develop scalable processes to help the team solve pain points and meet goals</li> <li>Design communication structure and cadence with team members; synthesize data learnings into compelling stories and communicate them throughout Coinbase</li> <li>Act as the business metrics owner for performance management</li> <li>Drive data team and organizational level initiatives to scale our insights through better systems and automation</li> </ul> What we look for in you (ie. job requirements): <ul> <li>BA / BS degree business, computer science, statistics, applied mathematics, or any scientific or computational degree</li> <li>5+ years of experience as a hands-on leader of a high-performing data science/analytics team</li> <li>10+ years of experience providing business insights and driving data science initiatives</li> <li>Experience in both internal and external storytelling and executive presentations</li> <li>Experience overseeing large, complex and cross-functional initiatives</li> <li>Expertise with analytics tools, data visualization, SQL, R, or Python as applied to data science and analytics</li> <li>Deep knowledge of data models and experimental design and execution</li> <li>Excellent ability to communicate complicated and nuanced insights in accessible language to relevant stakeholders</li> <li>Demonstrate our core cultural values: clear communication, positive energy, continuous learning, and efficient execution</li> <li>Self-driven and able to create plans for analytics projects and build collaboration within the team</li> </ul> Nice to haves: <ul> <li>Masters or PhD in computer science, statistics, applied mathematics, or any scientific or computational degree</li> <li>Experience building causal inference models and overseeing synthetic experimentation</li> <li>Domain experience in Fintech product and growth areas</li> <li>Experience manipulating large amounts of structured and unstructured data</li> </ul> Pay Transparency Notice: Depending on your work location, the target annual salary for this position can range as detailed below. Full time offers from Coinbase also include target bonus + target equity + benefits (including medical, dental, vision and 401(k)). Pay Range: $243,865—$286,900 USD Please be advised that each candidate may submit a maximum of four applications within any 30-day period. We encourage you to carefully evaluate how your skills and interests align with Coinbase's roles before applying. <h3>Commitment to Equal Opportunity</h3> Coinbase is committed to diversity in its workforce and is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view the Know Your Rights notice <a href="https://www.eeoc.gov/sites/default/files/2022-10/22-088_EEOC_KnowYourRights_10_20.pdf" target="_blank">here</a>. Additionally, Coinbase participates in the <a href="https://static-assets.coinbase.com/e-verify.pdf" target="_blank">E-Verify program</a> in certain locations, as required by law. Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please contact us at accommodations[at]coinbase.com to let us know the nature of your request and your contact information. For quick access to screen reading technology compatible with this site <a href="https://chrome.google.com/webstore/detail/chromevox/kgejglhpjiefppelpmljglcjbhoiplfn" target="_blank">click here to download</a> a free compatible screen reader <a href="http://www.chromevox.com/tutorial/" target="_blank">(free step by step tutorial can be found here)</a>. <h3>Global Data Privacy Notice for Job Candidates and Applicants</h3> Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available <a href="https://www.coinbase.com/legal/applicant_privacy_notice" target="_blank">here</a>. By submitting your application, you are agreeing to our use and processing of your data as required. For US applicants only, by submitting your application you are agreeing to arbitration of disputes as outlined <a href="https://www.coinbase.com/legal/application-arbitration-agreement" target="_blank">here.</a>

Coinbase

Senior Data Science Manager

Media · Remote USA · Fully Remote <h1>Senior Data Analyst</h1> Are you ready to be a big part of something big? At Trader Interactive, we make buying and selling a great experience. We’re a group of go-getters who decided they didn’t want to settle for the status quo. We come together as one team to build value and drive innovation across our industries - but we have fun while we do it and make sure our people are always our #1 priority. When it comes to your career, we want to provide big opportunities to help you make a big impact. But for this to be possible, we strive to feel small. Small enough to quickly change tack, small enough to learn from different teams and small enough to connect authentically with leadership. And one of the best parts? We give you the freedom to work from whatever working location works best for you and your lifestyle - yes, this means you can be 100% remote if you want to be! What We Offer <ul> <li>An inclusive and supportive work environment where you can move your career forward and will have the chance to do work that has real, significant impact on the world.</li> <li>The opportunity to be a part of a global group of digital marketplace businesses (CAR Group) located across Australia, Brazil, Chile and South Korea - collectively we have around 1,800 team members worldwide, and our Global Talent Exchange Program means you might just find yourself working in one of those businesses sometime soon.</li> <li>Plenty of flexible leave options and employee benefits including up to 31 days of paid time off in your first year, continuing education with access to LinkedIn Learning, a full benefits package including medical, dental &amp; vision, 401K with company match, and wellness program.</li> </ul> What You’ll Do We’re looking for a Senior Data Analyst to join our team and drive insights that enhance our customers’ understanding of user behavior and the path to purchase. This individual will play a key role in analyzing marketplace data across multiple websites to inform data-driven media planning &amp; marketing decisions for our partners. <ul> <li>Analyze user behavior to identify interests, predict actions, and map the path to purchase for RVs, motorcycles, boats, and commercial equipment</li> <li>Develop and maintain dashboards and reports using tools like Tableau and Power BI to enable self-serve insights for sales teams</li> <li>Work on sales attribution by combining cross-category sales data with on-site user shopping behavior to support the value of our partnerships</li> <li>Leverage multiple data sources to create innovative visualizations that better depict user engagement and the customer journey</li> <li>Collaborate with cross-functional teams to design the next generation of insights and analysis frameworks</li> <li>Provide actionable recommendations to improve customer engagement and product performance throughout the purchase journey</li> </ul> What We’re Looking For <ul> <li>4+ years of experience in data analysis, ideally within the media or digital space</li> <li>Proficiency in tools like Tableau, Power BI, and SQL</li> <li>Strong analytical skills with experience in user behavior analysis and predictive modeling</li> <li>Excellent communication skills, with the ability to present complex data in an easily understandable manner</li> <li>Experience working with diverse datasets and creating compelling visualizations</li> </ul> Bonus Points: <ul> <li>Bachelor’s degree in Data Science, Analytics, Statistics, or a related field (or equivalent experience)</li> <li>Basic coding skills in Python, R, or a similar language to support data preparation and advanced analysis</li> </ul> So come and join our team - because every role is a big role in our plans to go big. TI proudly supports a diverse workforce, and we encourage candidates from underrepresented groups to apply. Trader Interactive is an equal opportunity employer where hiring is based entirely on business needs, job requirements, and individual merit. <dl> <dt>Department</dt> <dd> Media </dd> <dt>Locations</dt> <dd> Remote USA </dd> <dt>Remote status</dt> <dd> Fully Remote </dd> </dl> Media · Remote USA · Fully Remote <h1>Senior Data Analyst</h1> <h2>Already working at Trader Interactive?</h2> Let’s recruit together and find your next colleague.

Trader Interactive

Senior Data Analyst

<h1> Senior Data Analytics Engineer, USRM Modeling Data Solutions</h1> Job Locations US-Remote | US-OH-Columbus | US-WA-Seattle | US-MA-Boston | US-NH-Portsmouth <dl> <dt>ID</dt> <dd> 2025-68773 </dd> <dt>Position Type</dt> <dd> Full-Time </dd> <dt>Minimum Salary</dt> <dd> USD $66,000.00/Yr. </dd> <dt>Maximum Salary</dt> <dd> USD $157,000.00/Yr. </dd> <dt>Typical Starting Salary</dt> <dd> $76,000-$125,000 </dd> <dt>Flexible Time Off Annual Accrual - days</dt> <dd> 20 </dd> <dt>Application Deadline</dt> <dd> 3/11/25 </dd> </dl> <h2> Pay Philosophy </h2> The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role. <h2> Description </h2> If you are passionate about data engineering and want an opportunity to work with the latest technologies, then Modeling Data Solutions has the position for you. Modeling Data Solutions is seeking experienced data analytics engineers to join its personal lines auto and personal lines property teams. This is an exciting opportunity to join the US Data Science Infrastructure department helping to support creating cutting edge pricing programs. You will play a critical role in designing and developing the data solutions needed for research and development as well as providing front line data support in launching new products into market. You will collaborate with multiple stakeholders including data scientists and product analysts to gather requirements, design, and implement robust data solutions. **This is a ranged posting, level offered will be based on skills and experience at manager discretion.** **This role may have in-office requirements depending on candidate location.** Responsibilities: <ul> <li>Design, develop, and optimize data pipelines and ETL processes to ensure high-quality data is available for analysis.</li> <li>Analyze complex datasets to identify trends, patterns, and actionable insights that drive business performance.</li> <li>Implement data quality checks and governance best practices to ensure data accuracy and reliability.</li> <li>Utilize Python, Spark, and SQL queries to extract, transform, and analyze data from various sources.</li> <li>Work closely with cross-functional teams to understand their analytical needs and provide tailored solutions that meet business objectives.</li> <li>Stay current with industry trends, emerging tools, and best practices in data analytics and engineering to continuously enhance analytical capabilities.</li> </ul> <h2> Qualifications </h2> <ul> <li>Strong written and oral communication skills required</li> <li>Bachelor`s Degree in Computer Science, Computer Engineering, or related discipline preferred</li> <li>Master`s in same or related disciplines strongly preferred</li> <li> 3-5 years experience in coding for data management, data warehousing, or other data environments, including, but not limited to, working in Python, SQL, ETL, Spark, Snowflake. </li> </ul> <h2> About Us </h2> As a purpose-driven organization, Liberty Mutual is committed to fostering an environment where employees from all backgrounds can build long and meaningful careers. Through strong relationships, comprehensive benefits and continuous learning opportunities, we seek to create an environment where employees can succeed, both professionally and personally. At Liberty Mutual, we believe progress happens when people feel secure. By providing protection for the unexpected and delivering it with care, we help people embrace today and confidently pursue tomorrow. We are proud to support a diverse, equitable and inclusive workplace, where all employees feel a sense of community, belonging and can do their best work. Our seven Employee Resource Groups (ERGs) offer a centralized, open space to bring employees and allies together to connect, learn and engage. We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: <a href="https://lmi.co/Benefits" target="_blank">https://LMI.co/Benefits</a> Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law. Fair Chance Notices <ul> <li><a href="https://jobs.libertymutualgroup.com/wp-content/uploads/2024/02/ca-fair-chance-act.pdf" target="_blank">California</a></li> <li><a href="https://bca.lacity.gov/Uploads/fciho/FCIHO-factsheet-2024-03-05.pdf" target="_blank">Los Angeles Incorporated</a></li> <li><a href="https://jobs.libertymutualgroup.com/wp-content/uploads/2025/01/FCOE-Official-Notice-Eng-Final-8.30.2024.pdf" target="_blank">Los Angeles Unincorporated</a></li> <li><a href="https://jobs.libertymutualgroup.com/wp-content/uploads/2024/02/pa-philadelphia-fair-chance-law.pdf" target="_blank">Philadelphia</a></li> <li><a href="https://jobs.libertymutualgroup.com/wp-content/uploads/2024/02/ca-san-francisco-fair-chance.pdf" target="_blank">San Francisco</a></li> </ul> <h2>Options</h2> <a href="https://careers-libertymutual.icims.com/jobs/68773/senior-data-analytics-engineer%2c-usrm-modeling-data-solutions/job?mode=apply&amp;apply=yes&amp;hashed=-1834448064" target="_blank"> Apply NowApply </a><a href="https://careers-libertymutual.icims.com/jobs/68773/senior-data-analytics-engineer%2c-usrm-modeling-data-solutions/referral?hashed=-625979090" target="_blank"> Email this job to a friendRefer </a> Sorry the Share function is not working properly at this moment. Please refresh the page and try again later. <h2> Need help finding the right job? </h2> We can recommend jobs specifically for you! <a href="https://careers-libertymutual.icims.com/connect?back=intro&amp;findajob=1&amp;hashed=-625979090" target="_blank"> Click here to get started. </a> <a href="https://icims.help/candidate-faq" target="_blank">System Troubleshooting</a>Software Powered by iCIMS <a href="http://www.icims.com/platform_help?utm_source=platform&amp;utm_medium=link&amp;utm_content=page1&amp;utm_campaign=platform%20help" target="_blank">www.icims.com</a>

Liberty Mutual Strategic Ventures

Senior Data Analytics Engineer, USRM Modeling Data Solutions

<h1> Principal Data Analytics Engineer, USRM Modeling Data Solutions</h1> Job Locations US-Remote | US-OH-Columbus | US-WA-Seattle | US-MA-Boston <dl> <dt>ID</dt> <dd> 2025-68772 </dd> <dt>Position Type</dt> <dd> Full-Time </dd> <dt>Minimum Salary</dt> <dd> USD $92,000.00/Yr. </dd> <dt>Maximum Salary</dt> <dd> USD $197,000.00/Yr. </dd> <dt>Typical Starting Salary</dt> <dd> $108,000-$156,000 </dd> <dt>Flexible Time Off Annual Accrual - days</dt> <dd> 20 </dd> <dt>Application Deadline</dt> <dd> 3/7/25 </dd> </dl> <h2> Pay Philosophy </h2> The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role. <h2> Description </h2> If you are passionate about data analytics engineering and want an opportunity to work with the latest technologies, then Modeling Data Solutions has the position for you. Modeling Data Solutions is seeking experienced data analytics engineers to join its small commercial and personal lines teams. This is an exciting opportunity to join the US Data Science Infrastructure department helping to support creating cutting edge pricing programs. You will play a critical role in designing and developing the data solutions needed for research and development as well as providing front line data support in launching new products into market. You will collaborate with multiple stakeholders including data scientists and product analysts to gather requirements, design, and implement robust data solutions. **This is a ranged posting, level offered will be based on skills and experience at manager discretion.** **This role may have in-office requirements depending on candidate location.** Responsibilities <ul> <li>Lead the development, optimization, and maintenance of scalable data pipelines and ETL processes to support the organization’s analytical needs.</li> <li>Conduct complex data analysis to identify trends, patterns, and insights, identifying issues and changes with the data and communicating solutions to stakeholders.</li> <li>Gather requirements through collaboration with data scientists, analysts, and business stakeholders to provide tailored analytics solutions.</li> <li>Implement and enforce data quality and governance standards to ensure data accuracy, reliability, and security.</li> <li>Design and implement robust data models that facilitate data accessibility and efficient querying for analysis and reporting.</li> <li>Utilize Python, Spark, and SQL queries to build robust data solutions and for profiling data.</li> <li>Stay informed of industry trends, tools, and best practices in data analytics and engineering, and apply this knowledge to enhance the team’s capabilities.</li> <li>Mentor and provide guidance to junior data analytics engineers and analysts, fostering a culture of learning and collaboration.</li> </ul> <h2> Qualifications </h2> <ul> <li>Strong written and oral communication skills required.</li> <li>Bachelor`s Degree in Computer Science, Computer Engineering, or related discipline preferred</li> <li>Master`s in same or related disciplines strongly preferred.</li> <li>5-7+ years experience in coding for data management, data warehousing, or other data environments, including, but not limited to, working in Python, SQL, ETL, Spark, Snowflake.</li> <li>5-7+ years experience as developer with top quadrant Business Intelligence tools.</li> </ul> <h2> About Us </h2> As a purpose-driven organization, Liberty Mutual is committed to fostering an environment where employees from all backgrounds can build long and meaningful careers. Through strong relationships, comprehensive benefits and continuous learning opportunities, we seek to create an environment where employees can succeed, both professionally and personally. At Liberty Mutual, we believe progress happens when people feel secure. By providing protection for the unexpected and delivering it with care, we help people embrace today and confidently pursue tomorrow. We are proud to support a diverse, equitable and inclusive workplace, where all employees feel a sense of community, belonging and can do their best work. Our seven Employee Resource Groups (ERGs) offer a centralized, open space to bring employees and allies together to connect, learn and engage. We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: <a href="https://LMI.co/Benefits" target="_blank">https://LMI.co/Benefits</a> Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law. Fair Chance Notices <ul> <li><a href="https://jobs.libertymutualgroup.com/wp-content/uploads/2024/02/ca-fair-chance-act.pdf" target="_blank">California</a></li> <li><a href="https://bca.lacity.gov/Uploads/fciho/FCIHO-factsheet-2024-03-05.pdf" target="_blank">Los Angeles Incorporated</a></li> <li><a href="https://jobs.libertymutualgroup.com/wp-content/uploads/2025/01/FCOE-Official-Notice-Eng-Final-8.30.2024.pdf" target="_blank">Los Angeles Unincorporated</a></li> <li><a href="https://jobs.libertymutualgroup.com/wp-content/uploads/2024/02/pa-philadelphia-fair-chance-law.pdf" target="_blank">Philadelphia</a></li> <li><a href="https://jobs.libertymutualgroup.com/wp-content/uploads/2024/02/ca-san-francisco-fair-chance.pdf" target="_blank">San Francisco</a></li> </ul> <h2>Options</h2> <a href="https://careers-libertymutual.icims.com/jobs/68772/principal-data-analytics-engineer%2c-usrm-modeling-data-solutions/job?mode=apply&amp;apply=yes&amp;hashed=-1834448064" target="_blank"> Apply NowApply </a><a href="https://careers-libertymutual.icims.com/jobs/68772/principal-data-analytics-engineer%2c-usrm-modeling-data-solutions/referral?hashed=-625979090" target="_blank"> Email this job to a friendRefer </a> Sorry the Share function is not working properly at this moment. Please refresh the page and try again later. <h2> Need help finding the right job? </h2> We can recommend jobs specifically for you! <a href="https://careers-libertymutual.icims.com/connect?back=intro&amp;findajob=1&amp;hashed=-625979090" target="_blank"> Click here to get started. </a> <a href="https://icims.help/candidate-faq" target="_blank">System Troubleshooting</a>Software Powered by iCIMS <a href="http://www.icims.com/platform_help?utm_source=platform&amp;utm_medium=link&amp;utm_content=page1&amp;utm_campaign=platform%20help" target="_blank">www.icims.com</a>

Principal Data Analytics Engineer, USRM Modeling Data Solutions

About Tala Tala is on a mission to unleash the economic power of the Global Majority – the 4 billion people overlooked by existing financial systems. With nearly half a billion dollars raised from equity and debt, we are serving millions of customers across three continents. Tala has been named by the Fortune Impact 20 list, CNBC’s Disruptor 50 five years in a row, CNBC’s World's Top Fintech Company, Forbes’ Fintech 50 list for eight years running, and Chief's The New Era of Leadership Award. We are expanding across product offerings, countries and crypto and are looking for people who have an entrepreneurial spirit and are passionate about our <a href="http://mission.By" target="_blank">m</a>ission. By creating a unique platform that enables lending and other financial services around the globe, people in emerging markets are able to start and expand small businesses, manage day-to-day needs, and pursue their financial goals with confidence. Currently, over nine million people across Kenya, the Philippines, Mexico, and India have used Tala products. Due to our global team, we have a remote-first approach, and also have offices in Santa Monica, CA (HQ); Nairobi, Kenya; Mexico City, Mexico; Manila, the Philippines; and Bangalore, India. Most Talazens join us because they connect with our mission. If you are energized by the impact you can make at Tala, we’d love to hear from you! The Role We are seeking a Senior Data Scientist – Causal Inference to tackle one of the world’s most pressing issues: financial inclusion. In this role, you will lead high-impact data science initiatives aimed at uncovering cause-and-effect relationships. Your efforts will drive strategic decision-making, optimize credit products, enhance customer experiences, and improve financial operations. You will manage the entire modeling process, from defining problems and developing causal models to deployment, evaluation, and continuous monitoring. Your expertise in causal inference, experimentation, and collaboration with stakeholders will be crucial in ensuring that data-driven insights lead to measurable business impact. As a customer-focused leader, you will independently drive data science initiatives that align with Tala’s mission of unleashing the economic power of the global majority. Your work will directly contribute to expanding financial access, improving credit outcomes, and shaping the future of inclusive finance.<h3>What You'll Do </h3> <ul> <li>Embed with business stakeholders to identify, test, and implement data science solutions with a particular focus on econometric models, experiments, and frameworks to assess challenging causal problems such as lifetime value or retention.</li> <li>Develop a roadmap in collaboration with stakeholders to organize and prioritize initiatives.</li> <li>Own full-cycle machine learning products from ideation and training to deployment into our production environment, including real-time inference and after-sale service. Obsess over machine learning products, deploying and iterating rapidly when necessary.</li> <li>Propose, design, and analyze large-scale online experiments and support business stakeholders with experimental design best practices.</li> <li>Become a multiplier for the data science team by sharing work, providing mentorship to junior team members, providing technical feedback, and developing work into shared team tooling.</li> <li>Be a thought partner for the business, leverage data insights and strong communication skills to influence company strategy. Develop roadmaps in collaboration with stakeholders to organize and prioritize initiatives.</li> </ul><h3>What You'll Need </h3> <ul> <li>4+ years of experience in a data science role or equivalent position.</li> <li>2+ years in a senior/lead position leading the execution of end-to-end machine learning solutions for business stakeholders.</li> <li>Fluency with Python and packages related to machine learning.</li> <li>Comfort with SQL.</li> <li>Experience with the full modeling cycle, from scoping and development through deployment, after-sale, and monitoring. Demonstrated delivery of business value in previous roles. </li> <li>Competency with statistics. Knowledge of experimental design and analysis. Previous experience with causal modeling techniques.</li> <li>Strong collaboration and communication skills. Ability to tell stories through data and effective visualization. </li> <li>Ability to thrive in, at times, ambiguous and complex environments.</li> <li>Desire to champion simple, robust systems and to deploy and iterate as needed.</li> </ul>Our vision is to build a new financial ecosystem where everyone can participate on equal footing and access the tools they need to be financially healthy. We strongly believe that inclusion fosters innovation and we’re proud to have a diverse global team that represents a multitude of backgrounds, cultures, and experience. We hire talented people regardless of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.

Tala

Senior Data Scientist, Causal Inference

Lead Data Engineer - Capital One Software (Remote)Ever since our first credit card customer in 1994, Capital One has recognized that technology and data can enable even large companies to be innovative and personalized. As one of the first large enterprises to go all-in on the public cloud, Capital One needed to build cloud and data management tools that didn’t exist in the marketplace to enable us to operate at scale in the cloud. And in 2022, we publicly announced Capital One Software and brought our first B2B software solution, Slingshot, to market.Building on Capital One’s pioneering adoption of modern cloud and data capabilities, Capital One Software is helping accelerate the data management journey at scale for businesses operating in the cloud. If you think of the kind of challenges that companies face – things like data publishing, data consumption, data governance, and infrastructure management – we’ve built tools to address these various needs along the way. Capital One Software will continue to explore where we can bring our solutions to market to help other businesses address these same needs going forward. We are seeking top tier talent to join our pioneering team and propel us towards our destination. You will be joining a team of innovative product, tech, and design leaders that tirelessly seek to question the status quo. As a Capital One Lead Data Engineer, you’ll have the opportunity to be on the forefront of building this business and bring these tools to market.What You’ll Do:<ul> <li>Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies</li> <li>Work with a team of developers with deep experience in data engineering, analytics, machine learning, distributed microservices, and full stack systems</li> <li>Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based services such as Redshift and Snowflake</li> <li>Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal &amp; external technology communities, and mentoring other members of the engineering community</li> <li>Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment</li> <li>Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance</li> </ul>Basic Qualifications: <ul> <li>Bachelor’s Degree </li> <li>At least 4 years of experience in application development (Internship experience does not apply)</li> <li>At least 2 years of experience in big data technologies </li> <li>At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)</li> </ul>Preferred Qualifications:<ul> <li>7+ years of experience in application development including Python, SQL, Scala, or Java</li> <li>4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)</li> <li>4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)</li> <li>4+ year experience working on real-time data and streaming applications </li> <li>4+ years of experience with NoSQL implementation (Mongo, Cassandra) </li> <li>4+ years of data warehousing experience (Redshift, Snowflake, Databricks) </li> <li>4+ years of experience with UNIX/Linux including basic commands and shell scripting</li> <li>2+ years of experience with Agile engineering practices </li> </ul>At this time, Capital One will not sponsor a new applicant for employment authorization for this position.The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.Remote (Regardless of Location): $175,800 - $200,700 for Lead Data Engineer Richmond, VA: $175,800 - $200,700 for Lead Data Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the <a href="https://www.capitalonecareers.com/benefits" target="_blank">Capital One Careers website</a>. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at <a href="#">RecruitingAccommodation@capitalone.com</a>. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.For technical support or questions about Capital One's recruiting process, please send an email to <a href="#">Careers@capitalone.com</a>Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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