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Job TitleSr. Spatial Data Manager, RemoteJob Description SummaryInform foundational strategic vision to drive strategy and commit to governance of metrics that achieve the goals of the organizationJob Description<ul> <li>Have working knowledge and/or experience in implementation or execution of a strategic plan related to client’s overall real estate strategy</li> <li>Utilize knowledge and/or experience in implementation or execution of a strategic plan related to client’s overall real estate strategy</li> <li>Show strong verbal presentation skills and ability to communicate to executive level</li> <li>Process work quickly, accurately, and with changing priorities</li> <li>Have a basic understanding of Corporate Real Estate and Financial concepts</li> <li>Be a strong team player who is adaptable and capable of driving change/change management within spatial data management</li> <li>Demonstrate advanced relationship building skills</li> <li>Manage and coordinate physical changes to Archibus</li> <li>Support portfolio space inventory</li> <li>Populate databases, maintain/update space boundary and record drawings, ensure space and data standards are maintained, generate ad-hoc reports, evaluate space assignments, and identify opportunities to improve reporting efficiency</li> <li>Act as subject matter expert, providing options on how to best facilitate client requests through Archibus</li> <li>Act as single POC for Archibus, polyline drawing files, and management and application support</li> <li>Participate in client and internal project review meetings</li> <li>Maintain a Go-Live/Upload schedule that will be issued in conjunction with the CAFM Update Report, cadence to be determined</li> <li>Maintain As-Built Drawing Library for client portfolio</li> <li>Coordinate CAD/CAFM planning, work order, and design and construction updates. Contribute subject matter expertise in the areas of spatial data management, CAD/CAFM administration, space and occupancy data analytics, and space utilization measurement</li> <li>Ensure compliance of client space data standards and establish a consistent data governance model </li> <li>Provide vital linkage between space management platform and industry best practices; introduce innovation to the account team/client</li> <li>Demonstrate expertise in CAD/CAFM and the methodologies and calculations used to generate and analyze allocation deliverables</li> <li>Provide support as necessary to peer teams as it relates to space, occupancy, and/or utilization data</li> <li>Contribute to data governance process - control of input sources and data consistency</li> <li>Contribute to data confidence - control of data measurement standards and KPIs</li> </ul> Cushman &amp; Wakefield also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health, vision, and dental insurance, flexible spending accounts, health savings accounts, retirement savings plans, life, and disability insurance programs, and paid and unpaid time away from work. In addition to a comprehensive benefits package, Cushman and Wakefield provide eligible employees with competitive pay, which may vary depending on eligibility factors such as geographic location, date of hire, total hours worked, job type, business line, and applicability of collective bargaining agreements. The compensation that will be offered to the successful candidate will depend on factors such as whether the position is covered by a collective bargaining agreement, the geographic area in which the work will be performed, market pay rates in that area, and the candidate’s experience and qualifications. The company will not pay less than minimum wage for this role. The compensation for the position is: $93,500.00 - $110,000.00Cushman &amp; Wakefield is an Equal Opportunity employer to all protected groups, including protected veterans and individuals with disabilities. Discrimination of any type will not be tolerated.In compliance with the Americans with Disabilities Act Amendments Act (ADAAA), if you have a disability and would like to request an accommodation in order to apply for a position at Cushman &amp; Wakefield, please call the ADA line at 1-888-365-5406 or email <a href="#">HRServices@cushwake.com</a>. Please refer to the job title and job location when you contact us.INCO: “Cushman &amp; Wakefield”

Cushman & Wakefield

Sr. Spatial Data Manager, Remote

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. The CX Analytics Engineering team bridges the gap between data engineering, data science, and business analytics by building scalable, impactful data solutions. We transform raw data into actionable insights through robust pipelines, well-designed data models, and tools that empower stakeholders across the organization to make data-driven decisions. As an AnalyticsEngineer on our team, you will function as a force multiplier, enabling Analytics and Operations to function seamlessly at scale. You’ll have the opportunity to translate complex technical and operational requirements into easily consumable front end data solutions, while also heavily influencing the overarching strategy for CX Analytics and its partners. Our team combines technical expertise with a deep understanding of the business to unlock the full potential of our data. We prioritize data quality, reliability, and usability, ensuring stakeholders can rely on our data to drive meaningful outcomes. <h4>What We Do</h4> <ul> <li> Trusted Data Sources: Develop and maintain foundational data models that serve as the single source of truth for analytics across the organization.</li> <li> Actionable Insights: Empower stakeholders by translating business requirements into scalable data models, dashboards, and tools.</li> <li> Cross-Functional Collaboration: Partner with engineering, data science, product, and business teams to ensure alignment on priorities and data solutions.</li> <li> Scalable Data Products: Build frameworks, tools, and workflows that maximize efficiency for data users, while maintaining high standards of data quality and performance.</li> <li> Outcome-Focused Solutions: Use modern development and analytics tools to deliver value quickly, while ensuring long-term maintainability.</li> </ul> What you’ll be doing (ie. job duties): Analytics engineer is a hybrid Data Engineer/Data Scientist/Business Analyst role that has the expertise to understand data flows end to end, and the engineering toolkit to extract the most value out of it indirectly (building tables) or directly (solving problems, delivering insights). Expectations: <ul> <li> Be the expert: Quickly build subject matter expertise in a specific business area and data domain. Understand the data flows from creation, ingestion, transformation, and delivery.</li> <ul> <li>Examples:</li> </ul> </ul> Step into a new line of business and work with Engineering and Product partners to deliver first data pipelines and insights.Communicate with engineering teams to fix data gaps for downstream data users.Take initiative and accountability for fixing issues anywhere in the stack. <ul> <li> Generate business value: Interface with stakeholders on data and product teams to deliver the most commercial value from data (directly or indirectly).</li> <ul> <li>Examples:</li> </ul> </ul> Build out a new data model allowing multiple downstream DS teams to more easily unlock business value through experimentation and ad hoc analysis.Combine Eng details of the algo engine with stats and data expertise to come up with feasible solutions for Eng to make the algo better.Work with PMs to tie together new x-PG, and x-Product data into one holistic framework to optimize key financing product business metrics. <ul> <li> Focus on outcomes not tools: Use a variety of frameworks and paradigms to identify the best-fit tools to deliver value.</li> <ul> <li>Examples: </li> </ul> </ul> Develop new abstractions (e.g. UDFs, Python packages, dashboards) to support scalable data workflows/infra.Stand up a framework for building data apps internally, enabling other DS teams to quickly add value.Use established tools with mastery (e.g. Google Sheets, SQL) to quickly deliver impact when speed is top priority. What we look for in you (ie. job requirements): In addition to out of the box thinking, attention to detail, a sense of urgency and a high degree of autonomy and accountability, we expect you to have the following skills: <ul> <li> Data Modeling Expertise: Strong understanding of best practices for designing modular and reusable data models (e.g., star schemas, snowflake schemas).</li> <li> Prompt Design and Engineering: Expertise in prompt engineering and design for LLMs (e.g., GPT), including creating, refining, and optimizing prompts to improve response accuracy, relevance, and performance for internal tools and use cases.</li> <li> Advanced SQL: Proficiency in advanced SQL techniques for data transformation, querying, and optimization.</li> <li> Collaboration and Communication: Strong ability to translate technical concepts into business value for cross-functional stakeholders. Proven ability to manage projects and communicate effectively across teams.</li> <li> Data Pipeline Development: Experience building, maintaining, and optimizing ETL/ELT pipelines, using modern tools like dbt, Airflow, or similar.</li> <li> Development Tools: Familiarity with version control (GitHub), CI/CD, and modern development workflows.</li> <li> Data Architecture: Knowledge of modern data lake/warehouse architectures (e.g., Snowflake, Databricks) and transformation frameworks.</li> <li> Business Acumen: Ability to understand and address business challenges through analytics engineering.</li> </ul> Nice to haves: <ul> <li> Intermediate to Advanced Python: Expertise in scripting and automation, with experience in Object-Oriented Programming (OOP) and building scalable frameworks.</li> <li> Data Visualization: Proficiency in building polished dashboards using tools like Looker, Tableau, Superset, or Python visualization libraries (Matplotlib, Plotly).</li> <li> Experience with cloud platforms (e.g., AWS, GCP).</li> <li> Data savvy: Familiarity with statistics and probability.</li> </ul> Disclaimer: Applying for a specific role does not guarantee consideration for that exact position. Leveling and team matching are assessed throughout the interview process. ID: G2754 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 + benefits (including medical, dental, vision and 401(k)). Pay Range: $122,000—$147,000 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

Analytics Engineer

Outlier

Chemistry Expertise Sought for AI Training

Open to remote. However, if local to one of our corporate office, it will require hybrid schedule (Milwaukee/Franklin: 3 days onsite; NYC: 2 days onsite)Position Overview:We are looking for a Databricks Developer with a strong background in Python, SSIS, ETL processes, PL/SQL, and data integration to design, develop, and maintain data pipelines and ETL workflows. The ideal candidate will have hands-on experience with Databricks, a deep understanding of data integration techniques, and a solid foundation in unit testing. This role requires a detail-oriented individual who thrives in a fast-paced environment and is passionate about delivering high-quality data solutions.Key Responsibilities:<ul> <li> Databricks Development: <ul> <li>Design and implement scalable data pipelines and workflows using Databricks.</li> <li>Optimize performance of Databricks notebooks and clusters.</li> <li>Develop and maintain Databricks-based ETL processes.</li> </ul> </li> <li> Python Programming: <ul> <li>Write Python scripts for data manipulation, transformation, and analysis.</li> <li>Integrate Python code with Databricks notebooks and workflows.</li> </ul> </li> <li> ETL Processes: <ul> <li>Design, develop, and manage ETL processes to handle large volumes of data.</li> <li>Implement data cleansing, transformation, and loading strategies.</li> </ul> </li> <li> PL/SQL Development: <ul> <li>Write and optimize PL/SQL procedures, functions, and queries.</li> <li>Perform database operations, including data extraction and transformation.</li> </ul> </li> <li> Data Integration: <ul> <li>Integrate data from various sources, ensuring data accuracy and consistency.</li> <li>Implement solutions for data synchronization and consolidation.</li> </ul> </li> <li> Data Pipelines: <ul> <li>Design, develop, and maintain robust data pipelines for real-time and batch processing.</li> <li>Monitor and troubleshoot data pipeline issues to ensure reliable data flow.</li> </ul> </li> <li> Unit Testing: <ul> <li>Develop and execute unit tests for data integration and ETL processes.</li> <li>Ensure that data solutions meet quality standards and business requirements.</li> </ul> </li> </ul>Requirements:<ul> <li>Education: Bachelor’s degree in Computer Science, Engineering, or a related field. Advanced degree preferred.</li> <li>Experience: Minimum of 6+ years of experience in Databricks development, Python programming, and ETL processes.</li> <li> Technical Skills: <ul> <li>Proficiency with Databricks, Python, PL/SQL ,SSIS and ETL frameworks.</li> <li>Strong experience in developing and managing data pipelines and integration solutions.</li> <li>Knowledge of data warehousing concepts and best practices.</li> <li>Experience with unit testing frameworks and methodologies.</li> </ul> </li> <li> Soft Skills: <ul> <li>Strong analytical and problem-solving skills.</li> <li>Excellent communication and collaboration abilities.</li> <li>Ability to work independently and as part of a team in a fast-paced environment.</li> </ul> </li> </ul>Preferred Qualifications:<ul> <li>Certifications in Databricks, Python, or related technologies.</li> <li>Experience with SSIS, able to read and understand packages</li> <li>Familiarity with data visualization tools and methodologies.</li> </ul>#LI-Remote Compensation Range: Pay Range - Start: $102,060.00Pay Range - End:$189,540.00 Geographic Specific Pay Structure: 210 - Structure 110: 112,280.00 USD - 208,520.00 USD&amp;#xa;210 - Structure 115: 117,390.00 USD - 218,010.00 USDWe believe in fairness and transparency. It’s why we share the salary range for most of our roles. However, final salaries are based on a number of factors, including the skills and experience of the candidate; the current market; location of the candidate; and other factors uncovered in the hiring process. The standard pay structure is listed but if you’re living in California, New York City or other eligible location, geographic specific pay structures, compensation and benefits could be applicable, click <a href="http://careers.northwesternmutual.com/pay-transparency/" target="_blank">here</a> to learn more.Job Posting End Date:09/30/2025The timeline for this job posting may be shortened or extended based on organizational needs.Grow your career with a best-in-class company that puts our clients' interests at the center of all we do. Get started now!Northwestern Mutual is an <a href="https://www.northwesternmutual.com/equal-employment-opportunity-policy/" target="_blank">equal opportunity employer</a> who welcomes and encourages diversity in the workforce. We are committed to creating and maintaining an environment in which each employee can contribute creative ideas, seek challenges, assume leadership and continue to focus on meeting and exceeding business and personal objectives.

Northwestern Mutual

Data Engineer Sr

Coding Expertise for AI Training (Indonesian)

Remote Coding Expertise for AI Training (Norwegian)

At Webflow, our mission is to bring development superpowers to everyone. As the pioneer of the Website Experience Platform (WXP), we’re redefining how teams Build, Manage, and Optimize for the web — combining visual development, powerful content management systems, AI-driven personalization, seamless hosting, and end-to-end analytics in a single, unified platform. With AI at the core, Webflow helps teams move faster, create more performant digital experiences, and scale without heavy engineering support. From independent designers and creative agencies to global enterprises, hundreds of thousands of organizations use Webflow to turn ideas into reality — and to power what’s possible on the web. We’re adding a Staff Data Scientist to our team to help inform the future of Webflow with data by building a deep understanding of how our customers create for the web with our product. You’ll partner directly with key product stakeholders to identify interesting business questions and provide the data and quantitative analysis to answer them, leading the development of KPIs and helping teams understand how to improve our user experience. <h1>About the role:</h1> <ul> <li>Location: Remote-first (United States; BC &amp; ON, Canada)</li> <li>Full-time </li> <li>Permanent </li> <li>Exempt</li> <li>Our cash compensation amount for this role ranges depending on the cost of labor of the geographic area. The ranges shared below may change if you are hired in another geographic location. <ul> <li>United States (all figures cited below in USD and pertain to workers in the United States) <ul> <li>Zone A: [$175,000 - $247,000</li> <li>Zone B: [$164,000 - $232,000]</li> <li>Zone C: [$154,000 - $217,000]</li> </ul> </li> <li>Canada (All figures cited below in CAD and pertain to workers in ON &amp; BC, Canada) <ul> <li>[$199,000 - $281,000]</li> </ul> </li> </ul> </li> </ul> This role is also eligible to participate in Webflow's company-wide bonus program. Target amounts are a percentage of base salary and vary by career level. Payouts are based on company performance against established financial and operational goals. Please visit our <a href="https://webflow.com/careers#pay-zones" target="_blank">Careers page</a> for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter. <ul> <li>Reporting to the VP of Data &amp; Insights</li> </ul> As a Staff Data Scientist, you’ll: <ul> <li>Lead high-impact projects to drive insights and decision-making across Webflow’s most critical initiatives.</li> <li>Define and evolve product and business metrics in collaboration with cross-functional teams to measure user experience and product performance</li> <li>Advance our experimentation capabilities, guiding design, statistical analysis, and interpretation of A/B tests, and championing a rigorous, iterative approach to product development.</li> <li>Uncover growth opportunities through exploratory data analyses, customer segmentation, and predictive modeling that surface actionable insights across the customer journey.</li> <li>Lead technical and non-technical team members with processes and technical expertise for executing experiments, answering open ended business questions with data, and researching levers for improving our product</li> <li>Partner with stakeholders in Product, Engineering, Design, Marketing, and User Research to blend qualitative and quantitative insights, informing product direction and enhancing user experience.</li> <li>Develop our data foundation collaborating on our strategic roadmap for building new pipelines and tools that contribute to our connected, complete understanding of our customer journey and improve our customer experience.</li> </ul> In addition to the responsibilities outlined above, at Webflow we will support you in identifying where your interests and development opportunities lie and we'll help you incorporate them into your role. <h1>About you:</h1> You’ll thrive as a Staff Data Scientist if you: <ul> <li> Have 5+ years of experience in a Data Science (or similar) position </li> <li> Have interest and experience in mentoring and developing the technical skills of your team members, helping to build a collaborative data science practice</li> <li> Have demonstrated experience working as a Data Scientist (or the equivalent in quantitative analysis), contributing to the strategic roadmap, providing high quality, reproducible analysis that impacts company strategy and decision making, building tools to enable scalable processes and enabling others to do the same</li> <li> Have expertise in applied statistics (e.g. predictive modeling, hypothesis testing, regressions), segmentation and experimentation (e.g. A/B testing) in an industry setting and the ability to explain concepts to technical and non-technical team members</li> <li> Have proficiency in SQL, and experience with a programming language like Python or R</li> <li> Curious about diving into the nuances of our business and product data </li> <li> Thrive collaborating with product teams in a fast-paced and sometimes ambiguous environment, solving complex and nuanced problems</li> <li> Engage both technical and nontechnical audiences with clear and compelling communication</li> <li> Stay curious and open to growth — actively building fluency in emerging technologies like AI to unlock creativity, accelerate progress, and amplify impact.</li> </ul> <h3>Our Core Behaviors:</h3> <ul> <li> Obsess over customer experience. We deeply understand what we’re building and who we’re building for and serving. We define the leading edge of what’s possible in our industry and deliver the future for our customers</li> <li> Move with heartfelt urgency. We have a healthy relationship with impatience, channeling it thoughtfully to show up better and faster for our customers and for each other. Time is the most limited thing we have, and we make the most of every moment</li> <li> Say the hard thing with care. Our best work often comes from intelligent debate, critique, and even difficult conversations. We speak our minds and don’t sugarcoat things — and we do so with respect, maturity, and care</li> <li> Make your mark. We seek out new and unique ways to create meaningful impact, and we champion the same from our colleagues. We work as a team to get the job done, and we go out of our way to celebrate and reward those going above and beyond for our customers and our teammates</li> </ul> <h3>Benefits &amp; wellness</h3> <ul> <li>Equity ownership (RSUs) in a growing, privately-owned company</li> <li>100% employer-paid healthcare, vision, and dental insurance coverage for full-time employees (working 30+ hours per week) and their dependents. Full-time employees may also be eligible for voluntary insurance options where applicable in the respective country of employment</li> <li>12 weeks of paid parental leave for both birthing and non-birthing caregivers, as well as an additional 6-8 weeks of pregnancy disability leave for birthing parents to be used before child bonding leave (note: where local requirements are more generous, employees receive the greater benefit); full-time employees also have access to family planning care and reimbursement</li> <li>Flexible PTO for all locations and sabbatical program</li> <li>Access to mental wellness and professional coaching, therapy, and Employee Assistance Program</li> <li>Monthly stipends to support work and wellness</li> <li>401k plan or pension schemes (in countries where statutorily required), and other financial wellness benefits, like CPA and financial advisor coverage</li> </ul> Temporary employees may be eligible for paid holiday and time off, statutory leaves of absence, and company-sponsored medical benefits depending on their Fixed Term Contract and their country/state of employment. <h3>Remote, together</h3> At Webflow, equality is a core tenet of our culture. We are an Equal Opportunity (EEO)/Veterans/Disabled Employer and are <a href="https://webflow.com/diversity-equity-inclusion" target="_blank">committed</a> to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law. Pursuant to the San Francisco Fair Chance Ordinance, Webflow will consider for employment qualified applicants with arrest and conviction records. <h3>Stay connected</h3> Not ready to apply, but want to be part of the Webflow community? Consider following our story on our <a href="https://webflow.com/blog" target="_blank">Webflow Blog</a>, <a href="https://www.linkedin.com/company/webflow-inc-/" target="_blank">LinkedIn</a>, <a href="https://twitter.com/webflow" target="_blank">X (Twitter)</a>, and/or <a href="https://www.glassdoor.com/Reviews/Webflow-Reviews-E890506.htm" target="_blank">Glassdoor</a>. <h3>Please note:</h3> We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Upon interview scheduling, instructions for confidential accommodation requests will be administered. To join Webflow, you'll need a valid right to work authorization depending on the country of employment. If you are extended an offer, that offer may be contingent upon your successful completion of a background check, which will be conducted in accordance with applicable laws. We may obtain one or more background screening reports about you, solely for employment purposes. For information about how Webflow processes your personal information, please review <a href="https://webflow.com/legal/applicant-privacy-notice" target="_blank">Webflow’s Applicant Privacy Notice</a>.

Webflow

Staff Data Scientist

Job Description: At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day. Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates’ physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve. Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations. At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us! Job Summary: Client Protection is looking for an experienced analytical leader to join the digital commerce fraud strategy team. This is an exciting opportunity given the constantly evolving nature of digital adoption and attacks in marketplace as well as in money movement. The incumbent will be responsible for managing a team focused on fraud and scam prevention strategies for key digital money movement channels. Responsibilities will include, working across multiple lines of business; partnering with product, technology, operations, vendors, and others; responsibility for the overall first party fraud loss line; and evaluating various internally developed and vendor provided machine learning tools to maximize client experience while managing fraud most effectively. As a Fraud Strategy Manager with the Client Protection organization, you will capitalize on technical abilities and strategic thinking to solve business challenges and seek opportunities for improvement. You will join a team of fraud professionals who are dedicated to stopping criminals and protecting customers. In the role you will spend time analyzing difficult problems as we try to stay one step ahead of the fraudsters. You will develop complex defenses designed to minimize the impact to good customers while maximizing fraud loss avoidance. You will work across multiple partner organizations and represent our team as a subject matter expert. We are looking for someone with strong communication skills, sound business judgement, results oriented with a track record of thriving in a fast-paced entrepreneurial environment. The role will be responsible for several key areas: • Develop and implement robust third-party fraud and scam detection program rooted in digital space to safeguard the organization against financial fraud. • Provide recommendations on mitigation efforts, ensuring monitors are in place, and will self-create initiatives as needed. • Lead a team of fraud analysts in the identification, investigation, and mitigation of fraud activity. • Collaborate with cross-functional teams to integrate fraud detection measures into existing systems and processes. • Stay abreast of industry trends, emerging threats, and technological advancements to continuously enhance fraud prevention methodologies. • Analyze data and conduct investigations to identify patterns, trends, and anomalies indicative of potential fraud. • Identifying new sources of data (internal or vendor-provided) that can enrich our existing detection processes, be added to our decision systems, and allow for new detection strategies to be developed. Will require close coordination with partners in Fraud Technology. • Drive the development of new models designed to detect fraud activity. • Ensuring proper risk controls are deployed, while adhering to best practices. • Provide oversight on defect reviews of 3rd party/scam loss cases to identify any gaps in Fraud strategy and/or procedural adjustments. • Providing fraud requirements, testing, and development of strategies for new project and endeavors • Lead the team to Develop, implement, and continuously improve fraud detection algorithms and systems. Perform regular audits and analysis of transaction data to detect new fraud trends. • Guiding team to Develop new fraud strategies using statistical and analytical techniques. Goal will be to identify and mitigate new and emerging fraud threats. • Design and monitor key fraud metrics and KPIs to evaluate the effectiveness of fraud prevention. • Monitor Strategy performance and Optimization of existing detection strategies to determine areas where rules can be adjusted to decline fewer false positives and improve the ROI and overall performance of our fraud strategies. • Systems Integration: Integrate fraud detection systems with core banking and transaction processing systems using APIs and middleware solutions. Collaborate with IT and software development teams to ensure seamless integration and functionality of fraud management systems. Manage and optimize the performance of fraud detection systems and tools. • Policy and Strategy Development: Stay updated with the latest fraud trends, regulatory requirements, and best practices. Lead the creation and refinement of fraud detection and prevention strategies. • Work closely with compliance, legal, risk management, and other relevant departments to align fraud management efforts with organizational goals. Conduct training sessions and workshops to educate staff on fraud detection techniques and policies. • Identify process improvements and efficiencies via data analysis. • Deliver accurate metrics related to fraud and claim activity. Validate the integrity and quality of data required for performing analysis. • Partner with claims, policy, strategy, and product teams to deliver data insights and analysis that inform critical decisions and help achieve goals. Required Qualifications: • 3+ years of experience in advanced to expert level in SQL and SAS • Minimum 7 years of work experience in large financial institution with specialization in data analytics • Minimum 5 years of experience in managing teams. Desired Qualifications: • The candidate must be at an advanced to expert level in SAS and SQL. Should also have familiarity with other programming languages such as Python, R, or Java. Knowledge of data extraction tools such as Hive or Hue will be useful. • Experience in Statistical model utilization • 3+ years of decision tree development • Experience in managing fraud for digital products (Zelle, Wires, ACH, Bill pay) • Expertise in fraud detection and management platforms, specifically SAS Fraud Management and creation of user defined variables for rule development. • Ability to work in a fast-paced, dynamic environment is critical. • Must have exceptional organizational, project management and communications skill. • Candidate must have a proven track record of building and deploying analytical solutions that have resulted in material financial results. • Ability to work independently as well as effectively work in teams with individuals with a variety of skills and backgrounds. • Advanced analytical and quantitative skills with demonstrated ability in using data and metrics to identify root causes. • Basic understanding of 1st and 3rd party fraud (claims to charge-off timing, chargeback recovery rights, etc.) • Proven strong analytical and communication skills. • Experience in working with tools like SAS E-miner and use machine learning models to identify patterns and anomalies in transaction data indicative of fraudulent activity. • Bachelor’s degree, preferably in a quantitative discipline such as mathematics, statistics, operations research, engineering, computer science, finance, or business. Skills: <ul> <li>Analytical Thinking</li> <li>Business Analytics</li> <li>Data Mining</li> <li>Fraud Management</li> <li>Business Process Analysis</li> <li>Critical Thinking</li> <li>Influence</li> <li>Relationship Building</li> <li>Strategy Planning and Development</li> <li>Business Case Analysis</li> <li>Issue Management</li> <li>Leadership Development</li> <li>Process Performance Measurement</li> <li>Recruiting</li> </ul> Shift:1st shift (United States of America) Hours Per Week: 40

Bank of America

Fraud Analytics and Innovation Senior Leader - Client Protection

AI Training for Sociology

R1 is the leading provider of technology-driven solutions that transform the patient experience and financial performance of hospitals, health systems and medical groups. We are the one company that combines the deep expertise of a global workforce of revenue cycle professionals with the industry’s most advanced technology platform, encompassing sophisticated analytics, AI, intelligent automation, and workflow orchestration. We are seeking a Data Engineer III to join our Data Platform team. This role will report to the senior engineering manager of data platform and be involved in the planning, design, and implementation of our automated data lake solution to support analytics across all applications within the company. What you will do: <ul> <li>Collaborate with and across Agile teams to develop, test, implement, and support technical solutions. </li> <li>Work with other team with deep experience in analytics and operation to understand how to centralize their data. </li> <li>Share your passion for staying experimenting with and learning new technologies. </li> </ul>What you will bring: <ul> <li>3+ years' work experience in the software engineering or data engineering domain</li> <li>Expert knowledge and experience working with Scala and Spark</li> <li>Experience working with modern data pipeline orchestration tools to create complex ETL pipeline jobs</li> <li>Experience working with SQL and NoSQL database systems</li> <li>Experience in distributed system architecture design </li> <li>Experience with acquiring and preparing data from primary and secondary disparate data sources</li> </ul>Nice to haves: <ul> <li>Experience with cloud environments (Azure Preferred) </li> <li>Experience working with Databricks</li> <li>Healthcare industry experience</li> <li>Experience working with agile methodology</li> </ul>For this US-based position, the base pay range is $75,504.00 - $134,521.77 per year . Individual pay is determined by role, level, location, job-related skills, experience, and relevant education or training.This job is eligible to participate in our annual bonus plan at a target of 10.00%The healthcare system is always evolving — and it’s up to us to use our shared expertise to find new solutions that can keep up. On our growing team you’ll find the opportunity to constantly learn, collaborate across groups and explore new paths for your career. Our associates are given the chance to contribute, think boldly and create meaningful work that makes a difference in the communities we serve around the world. We go beyond expectations in everything we do. Not only does that drive customer success and improve patient care, but that same enthusiasm is applied to giving back to the community and taking care of our team — including offering a <a href="http://go.r1rcm.com/benefits" target="_blank">competitive benefits package.</a>R1 RCM Inc. (“the Company”) is dedicated to the fundamentals of equal employment opportunity. The Company’s employment practices , including those regarding recruitment, hiring, assignment, promotion, compensation, benefits, training, discipline, and termination shall not be based on any person’s age, color, national origin, citizenship status, physical or mental disability, medical condition, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status or any other characteristic protected by federal, state or local law. Furthermore, the Company is dedicated to providing a workplace free from harassment based on any of the foregoing protected categories.If you have a disability and require a reasonable accommodation to complete any part of the job application process, please contact us at 312-496-7709 for assistance.CA PRIVACY NOTICE: California resident job applicants can learn more about their privacy rights <a href="https://f.hubspotusercontent20.net/hubfs/4941928/California%20Consent%20Notice.pdf" target="_blank">California Consent </a>To learn more, visit: <a href="https://R1RCM.com" target="_blank">R1RCM.com</a>Visit us on <a href="https://www.facebook.com/R1RCM" target="_blank">Facebook</a>

148 Data Science Jobs in United States