field_remote_option

job_industry

field_job_occupational_field_parents_all

job_organization_name

job_upgrade_is_featured

Outlier

Coding Expertise for AI Training (Indonesian)

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

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

Position Details Req ID req1399 Job Title MASTER DATA ANALYST I Division Corporate Shift First Shift Job Summary Job Summary Applies fundamental knowledge of principles, theories, concepts and industry practices and standards in the area of Master Data maintenance including managing of policies and procedures, research and policy change implementation to ensure compliance to regulations and laws that apply to Aerospace and Defense. Essential Functions &amp; Key Responsibilities <ul> <li>Solves problems of limited scope and complexity relative to developing comprehensive Master Data procedures and guidelines and processing of SAP Master Data requests that apply to aerospace and defense. Management applies close to moderately close supervision and review of work performed.</li> <li>Assist with executing short and long-term policy priorities; build support for multi-department policy change by working directly with management and affected departments.</li> <li>Assists in providing technical support on policy issues to government officials and partners to advance policy goals.</li> <li>Consolidates, reviews and processes all requests for Master creations, changes and deletions; requests are subject to response in accordance with service level agreements.</li> <li>Maintains tracking and communicates this information to management via aging reports and prioritization of quick-turn items.</li> <li>Reviews all requests and ensures that data is accurate in the system.</li> <li>Maintains and updates all Master Data documentation and ensures that it is available to all the necessary groups via the intranet and hard copy; communicates all changes in a timely manner.</li> <li>Analyzes information and troubleshoots problem areas with the appropriate departments and perform corrective actions as necessary.</li> <li>Periodically reviews the rules and accuracy of the Master Data with all affected user groups within the company.</li> <li>Works with peers to ensure that all understand the master data guidelines and procedures to ensure that the data is accurate, and fields are populated correctly; maintain and develop relationships with other departments and management to manage a uniform policy and procedure process.</li> <li>Provide written and oral documentation, as needed.</li> </ul> Performs other duties as required. These duties may include assignments in job classifications and departments other than the primary assignment. Minimum Qualifications Education Requirements Minimum 4 Year / Bachelors Degree. Supply Chain Management or other related discipline. If applicable, a combination of experience and training may be substituted for the education requirement.Experience Requirements 0-2 year(s) Related experience and/or training. Skills and Competencies <ul><li>Must be able to arrive at work on time, work onsite, and attend regularly.</li> <li>Must be able to read and write the English language, perform basic mathematical calculations and learn to interpret and comprehend company policies, procedures, safety instructions, and other like documents used in an aerospace manufacturing environment.</li> <li>Competent in the use of standard software applications such as Microsoft Word and Excel and operate standard office equipment.</li> <li>Makes telephone and direct personal contact with internal and external personnel and makes formal presentations to small or large groups.</li> <li>Ability to conduct policy research</li> <li>Good analytical and organizational skills.</li></ul> Skills and Work Requirements Physical Requirements Physical Requirements Must be able to work in excess of eight (8) hours per day and five (5) days per week, if required. Additionally, those who work at NORDAM Repair Division must be able to ascend and descend stairs. Demand - Frequency Walk - Frequent Use hands to handle or feel or manipulate - Frequent Reach with hands and arms - Frequent Stoop, kneel, crouch, or crawl - Occasional Talk and hear - Frequent Use close vision, depth perception, and ability to adjust - Constant Travel between facilities (drive) - Occasional Stand - Occasional Climb Stairs - Occasional Weight - Frequency 25 pounds - Occasional Work Environment Work Environment While performing the duties of this job, the Stakeholder is occasionally exposed to moving mechanical parts, fumes or airborne particles, toxic or caustic chemicals, and outside weather conditions. The noise level in the work environment is usually moderate. Supervision Supervision <ul><li>Follows well established policies and practices as assigned by immediate supervision.</li> <li>Follows specific, detailed instructions as to tasks, methods and results.</li></ul> EEO Statement The NORDAM Group LLC is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity or expression, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

Nordam Group

MASTER DATA ANALYST I

Geography Expertise Sought for AI Training

Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest.We’re looking for an intelligent, driven professional to join our Quantitative Research team. Quantitative Research is a part of the broader Quantitative Markets team, which is responsible for structuring and pricing Affirm’s debt funding deals and researching and building data-driven models to analyze and predict the performance of Affirm’s consumer loans. In this role, you will be primarily focused on analytical tools development, working with engineers and data scientists around the company to improve the usability of the take-up and loan cashflow models. Over time, you would proactively engage with other stakeholders around Affirm to tailor models to the needs of Merchant Pricing, Credit, Applied Machine Learning, Finance, and other stakeholders.The ideal candidate will have strong analytical and problem solving skills with solid knowledge of analytical tools, as well as interpersonal skills to work cross-functionally and drive forward recommendations. This is an individual contributor position. <h3> What you’ll do</h3> <ul> <li> Architect, build, refine and increase automation and research infrastructure for modeling the performance of existing collateral and simulation frameworks for future loan originations </li> <li> Collaborate with platform (Machine Learning and Engineering) teams to implement framework for automating and presenting analytics, reports, and monitoring </li> <li> Collaborate with firm-wide analytics teams to deliver analyses and tools to users across the firm </li> <li> Review implementation of models focusing on requirement verification and code quality. Conduct code review for different members of the team. </li> </ul> <h3>What we look for</h3> <ul> <li> Undergraduate, Masters, or PhD in Computer Science or other quantitative discipline </li> <li> 3-7 years of professional experience developing quantitative infrastructure tools and platforms </li> <li> Solid background in math/statistics/finance and familiarity with quantitative research methodologies and machine learning algorithms </li> <li> Analyze unique business operational requirements and conduct research in order to design appropriate technical solutions to accommodate those functional needs </li> <li> Ability to contribute to the analytics, research, and model development process </li> <li> Curiosity to learn about data, models and algorithms and proven track record in analytical and problem solving skills </li> <li> Ability to develop strong relationships and work across all organizational levels </li> <li> Desire to understand the broader context of business decisions </li> <li> Github experience preferred. Existing github presence a plus </li> </ul> Pay Grade - Q Equity Grade - 14 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.) USA base pay range (CA, WA, NY, NJ, CT) per year: $180000 - $230000 USA base pay range (all other U.S. states) per year: $160000 - $210000 #LI-Remote Affirm is proud to be a remote-first company! The majority of our roles are remote and you can work almost anywhere within the country of employment. Affirmers in proximal roles have the flexibility to work remotely, but will occasionally be required to work out of their assigned Affirm office. A limited number of roles remain office-based due to the nature of their job responsibilities. We’re extremely proud to offer competitive benefits that are anchored to our core value of people come first. Some key highlights of our benefits package include: <ul> <li>Health care coverage - Affirm covers all premiums for all levels of coverage for you and your dependents </li> <li>Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses</li> <li>Time off - competitive vacation and holiday schedules allowing you to take time off to rest and recharge</li> <li>ESPP - An employee stock purchase plan enabling you to buy shares of Affirm at a discount</li> </ul> We believe It’s On Us to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process. [For U.S. positions that could be performed in Los Angeles or San Francisco] Pursuant to the San Francisco Fair Chance Ordinance and Los Angeles Fair Chance Initiative for Hiring Ordinance, Affirm will consider for employment qualified applicants with arrest and conviction records. By clicking "Submit Application," you acknowledge that you have read Affirm's <a href="https://www.affirm.com/global-candidate-privacy-notice" target="_blank">Global Candidate Privacy Notice</a> and hereby freely and unambiguously give informed consent to the collection, processing, use, and storage of your personal information as described therein.

Affirm

Quantitative Analytics Lead

Coding Expertise for AI Training

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 This job is responsible for reviewing and interpretating large datasets to uncover revenue generation opportunities and ensuring the development of effective risk management strategies. Key responsibilities include working with lines of business to comprehend problems, utilizing sophisticated analytics and deploying advanced techniques to devise solutions, and presenting recommendations based on findings. Job expectations include demonstrating leadership, resilience, accountability, a disciplined approach, and a commitment to fostering responsible growth for the enterprise. This job is responsible for supporting advanced analytics technical development and the pathway to optimality, scalability, and sustainability in close partnership with Bank of America Technology. This work closely integrates with business efforts to improve portfolio risk, profitability, performance forecasting, and operational performance for customer products and related divisions such as credit cards. Key responsibilities include applying knowledge of multiple business and technical-related topics and independently driving strategic improvements, large-scale projects, and initiatives. Job expectations include working with counterparts within the Line of Business, across the technology organization, and risk teams. Client Protection Shared Services – Advanced Analytics is looking for a seasoned and energetic data science leader to join our team as a Lead Data Scientist and help us deliver data science products to the production environment especially for scalable graph analytics. In this role, you will be expected to work on large and complex data science projects. Collaborating with internal strategy, technology, product, and policy partners to deploy advanced analytical solutions with the goal of reducing fraud losses, lowering false positive impacts, improving client experience, and ensuring the Bank minimizes its total cost of fraud. Responsibilities: <ul> <li>Enables business analytics, including data analysis, trend identification, and pattern recognition, using advanced techniques to drive decision making and collection data driven insights</li> <li>Applies agile practices for project management, solution development, deployment, and maintenance</li> <li>Develops and reviews technical documentation, capturing the business requirements, and specifications related to the developed analytical solution and implementation in production</li> <li>Manages multiple priorities and ensures quality and timeliness of work deliverables such as quantitative models, data science products, data analysis reports, or data visualizations, while exhibiting the ability to work independently and in a team environment</li> <li>Delivers presentations in an engaging and effective manner through in-person and virtual conversations that communicates technical concepts and analysis results to a diverse set of internal stakeholders, and develops professional relationships to foster collaboration on work deliverables</li> <li>Supports the identification of potential issues and development of controls</li> <li>Maintains knowledge of the latest advances in the fields of data science and artificial intelligence to support business analytics</li> <li>Manages a roadmap of data science use cases for technical development and implementation to the production environment in close partnership with Bank of America Technology</li> <li>Manages relationships with multiple technology platform and development team leaders including alignment of roadmaps, managing projects, and managing risks</li> <li>Engages business and technology senior leaders on reporting of project/deliverable statuses, opportunity identification, and planning efforts</li> <li>Oversees development, delivery and quality assurance for data science use cases delivered to the production environment and other areas of the line of business</li> <li>Performs complex analysis of financial models, market data, financial data, and portfolio trends to understand product performance and improve portfolio risk, profitability, performance forecasting, and operational performance</li> <li>Coaches and mentors peers to improve proficiency in a variety of systems and serves as a subject matter expert on multiple business and technical-related topics</li> <li>Identifies business trends based on economic and portfolio conditions and communicates findings to senior management</li> <li>Supports execution of large scale projects, such as platform conversions or new project integrations by conducting advanced reporting and drawing analytics based insights</li> <li>Link Analysis/Graph analytics to find and mitigate densely connected fraud networks</li> <li>Developing and tuning graph algorithms to maximize detection of fraud</li> <li>Assist with the generation, prioritization, and investigation of fraud rings </li> </ul> Required Qualifications • Minimum of 4 years of experience in data and analytics • Must have familiarity with Graph databases (e.g. TigerGraph, Neo4J) and graph query languages • Must be proficient with SQL and one of SAS, Python, or Java • Critical problem-solving skills including selection of data and deployment of solutions • Proven ability to manage projects, exercise thought leadership and work with limited direction on complex problems to achieve project goals while also leading a broader team • Excellent communication and influencing skills • Thrives in fast-paced and highly dynamic environment • Intellectual curiosity and strong urge to figure out the “whys” of a problem and come up with creative solutions • Expertise handling data across its lifecycle in a variety of formats and storage technologies (e.g., structured, semi-structured, unstructured; graph; hadoop; kafka) • Expertise in data analytics and technical development lifecycles including having coached junior staff Desired Qualifications • Advanced STEM (Science, Technology, Engineering, Math) degree (Masters or PhD) • 7+ years of experience; work in financial services is very helpful, with preference to fraud, credit, cybersecurity, or other heavily quantitative areas • Deep understanding of graph databases, graph algorithms, and experience developing graph schemas • Understanding of advanced machine learning methodologies including neural networks, ensemble learning like XGB, and other techniques • Proficient with H2O or similar advanced analytical tools • Experience managing multi-year roadmaps, engaging technical and non-technical stakeholders, and leading large cross-functional formal projects • Experience influencing mid to senior (executive) level leaders • Experience managing risk and issue remediation • Understanding of computer science topics like automation, code versioning, computational complexity, parallel processing, requirements gathering, testing methodologies, and development lifecycle models like Agile Skills: <ul> <li>Agile Practices</li> <li>Application Development</li> <li>DevOps Practices</li> <li>Technical Documentation</li> <li>Written Communications</li> <li>Artificial Intelligence/Machine Learning</li> <li>Business Analytics</li> <li>Data Visualization</li> <li>Presentation Skills</li> <li>Risk Management</li> <li>Adaptability</li> <li>Collaboration</li> <li>Consulting</li> <li>Networking</li> <li>Policies, Procedures, and Guidelines Management</li> </ul> Shift:1st shift (United States of America) Hours Per Week: 40

Bank of America

Data Scientist  II  - Graph Data Platform - Client Protection

Remote Coding Expertise for AI Training (Ukrainian)

AI Training for Operations Management and Research

159 Data Science Jobs