Data Scientist jobs at Navient - 303 jobs

Principal Data Scientist
Sallie Mae 4.1
Data scientist job at Navient
**When you join Sallie, you become a champion for all students.** Sallie's Education Services team is a diverse group of growth-obsessed entrepreneurs, data analysts, engineers, and developers with a passion for imagining and building scalable businesses for students and families on their unique journey to-through and immediately after higher education. We're on a mission to revolutionize how students and their families plan, pay and complete this journey with confidence. Join a team of seekers, challengers and creative thinkers to change the way students plan for their future for the better. Sallie Mae's new venture, **Sallie** , is looking for people like you to be the **founding members** who will define the future of education services for students and their families in the U.S. As the first education solutions company, we're creating products and experiences that help students when they need it most - connecting them to free money for school, providing tools and resources to plan for college, sharing inside advice on campus life, and so much more. Visit **************************** to learn more about us. We are seeking a **strategic and visionary Principal Data Scientist** to lead our organization-wide data science initiatives. This role will be responsible for driving advanced analytics, machine learning, large language model (LLM), and AI initiatives while fostering a culture of **data as a product** . The ideal candidate is a seasoned, hands-on data scientist with deep technical expertise, strong product sense, and a passion for driving measurable business impact. Experience in **advertising technology (AdTech)** , **marketing analytics** , or **consumer data platforms** is a strong plus. You'll thrive in this role if you enjoy working in an **entrepreneurial, cross-functional, and fast-moving environment** , collaborating with product, engineering, marketing, and leadership to define and execute the data science vision for Sallie. **Key Responsibilities:** **Strategic Leadership** + Define and execute the data science strategy that enables SallieSM'smission to help students and families access education resources. + Serve as the data science thought leader-partnering with senior leadership toidentify, prioritize, and deliver high-impact analytical solutions. + Mentor and coach data scientists and analysts, fostering a culture of curiosity, rigor, and innovation. **Advanced Modeling & Applied Machine Learning** + Build, evaluate, and deploy advanced ML models and generative AI systems (including LLM applications) to drive customer engagement and personalization. + Develop frameworks for experimentation, causal inference, and optimization that inform product and marketing decisions. + Ensure responsible AI practices and interpretability across all modeling efforts. **Data as a Product & Platform Enablement** + Partner with engineering and product teams to design scalable data pipelines, feature stores, and analytical platforms. + Lead the evolution of data into managed products-complete with ownership, lifecycle, and measurable value delivery. + Define the architecture for model deployment, monitoring, and continuous improvement. **Business & AdTech Impact** + Translate complex analytical outputs into actionable recommendations that shape marketing strategy, customer acquisition, and retention efforts. + Partner with finance and business operations to develop forecasting and performance models. + Identifyopportunities to monetize data responsibly and ethically through new data products and partnerships. **Innovation & Thought Leadership** + Stay ahead of trends in AI,MLOps, and data monetization; drive adoption of emerging techniques across teams. + Champion data ethics, governance, and compliance standards that align with Sallie Mae's trusted brand. + Contribute to building the data-driven foundation that powers SallieSM'sgrowth and competitive edge. **Basic Qualifications:** + Master's or Ph.D. in Computer Science, Statistics, Applied Mathematics, Economics, or relatedfield. + 8+ years of experience in applied data science, machine learning, or quantitative research roles. + Provenexpertisein statistical modeling, machine learning, and experimental design. + Strong programmingproficiencyin **Python** and **SQL** , with experience in tools such as **PyTorch** , **TensorFlow** , or **Scikit-learn** . + Hands-on experience with **modern data stacks** (Snowflake, Databricks, AWS, or GCP). + Demonstrated ability to translate data insights into strategic business outcomes. **Preferred Qualifications:** + Experience in **AdTech** , **MarTech** , or **media analytics** environments. + Experience deploying and scaling **LLM** or **AI-powered** applications. + Familiarity with **financial modeling** , **forecasting** , or **marketing attribution** . + Strong publication record or contributions to open-source projects. + Passion for responsible AI, fairness, and data ethics. **Feeling your best helps you do your best:** **Our benefits take care of the whole you-so you can build your work around your life (not the other way around!).** + Competitive base salaries + Bonus incentives + Generous PTO, Floating Holidays and 12 Federal Holidays observed + Support for financial-well-being and retirement 401k with employer match + Comprehensive medical, dental, vision, hospital indemnity, critical illness, pet insurance and more + Employer paid short-term/long-term disability and basic life insurance + Flexible hybrid working arrangements. + Paid parental leave and adoption reimbursement programs + Free access to on-site staffed fitness centers (in Delaware) and gym subsidy (for locations outside Delaware) + Confidential counseling support (EAP), Health Advocacy services and Wellness program with financial incentives + Tuition Reimbursement and Family Scholarship Programs + Career development and training opportunities Not the right fit? Let us know you're interested in a future opportunity by clicking _Introduce Yourself_ in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest! **Sallie Mae is proud to be an equal opportunity (EEO) employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, sexual orientation, national origin, age, genetic information, gender identity, disability, Veteran status or any other characteristic protected by federal, state or local law. Click here (******************************************************* **to view the U.S. Pay Transparency Policy,** **here (******************************************************************************************************************* **for federal job applicant notices, and** **here (************************************************************************************************** **to view the California Employee Privacy Notice.** **Reasonable accommodations are available for applicants with disabilities in all phases of the application and employment process. To request an accommodation please call ************** and choose option 9. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.** Sallie Mae is proud to be an equal opportunity (EEO) employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, sexual orientation, national origin, age, genetic information, gender identity, disability, Veteran status or any other characteristic protected by federal, state or local law. If you'd like more information about your EEO rights as an applicant, please click **************************************************** ************************************************************************************************************************** Click ************************************************************** to view the U.S. Pay Transparency Policy.
$72k-96k yearly est. 60d+ ago

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Principal Data Scientist: ML & Big Data for Card Products
Capital One 4.7
McLean, VA jobs
A leading financial services company seeks a Data Scientist to leverage advanced analytics and machine learning techniques. The role demands a strong background in Python, AWS, and statistical modeling, requiring a bachelor's degree in a quantitative field and relevant experience in data analytics. The candidate will work cross-functionally to translate complex data into actionable insights for customers. A competitive benefits package is offered. #J-18808-Ljbffr
$69k-89k yearly est. 2d ago
LLM Customization Data Scientist - Principal Associate
Capital One National Association 4.7
McLean, VA jobs
A prominent financial services company located in McLean is seeking a Principal Associate, Data Scientist for the LLM Customization Team. The ideal candidate will leverage cutting-edge machine learning technologies to enhance customer interactions and financial analytics. Candidates should possess a strong background in data science, experience with NLP, machine learning, and programming in Python, SQL, and AWS. This role offers competitive salaries and benefits, driving innovation within a dynamic team environment. #J-18808-Ljbffr
$69k-89k yearly est. 5d ago
Principal Data Scientist - Model Risk & ML Innovation
Capital One 4.7
McLean, VA jobs
A leading financial services company in McLean, Virginia, is seeking an experienced data analyst to develop machine learning models and partner with cross-functional teams. The ideal candidate has a Bachelor's Degree in a quantitative field and at least 5 years of relevant experience, with strong proficiency in Python, SQL, and AWS. Responsibilities include leveraging technology to derive insights from data and staying current with industry advancements. This role offers a comprehensive benefits package and a supportive work environment. #J-18808-Ljbffr
$69k-89k yearly est. 2d ago
Senior Data Scientist - Cards & Payments Credit Infra
Capital One 4.7
McLean, VA jobs
A leading financial services firm in McLean, Virginia, is seeking experienced data analysts to leverage their quantitative expertise in building machine learning models. The ideal candidate will have a Bachelor's, Master's, or PhD in a quantitative field and at least 5 years of relevant experience. Responsibilities include collaborating with various teams to deliver products and translating complex data insights into business objectives. Capital One offers a supportive benefits package to promote well-being. #J-18808-Ljbffr
$74k-97k yearly est. 2d ago
Data Scientist, Technical Lead (Remote-USA)
The Voleon Group 4.1
Remote
Voleon is a technology company that applies state-of-the-art AI and machine learning techniques to real-world problems in finance. For nearly two decades, we have led our industry and worked at the frontier of applying AI/ML to investment management. We have become a multibillion-dollar asset manager, and we have ambitious goals for the future. Data is at the heart of everything we do-from modeling and strategy development to production monitoring and compliance. As we expand our data-driven investment initiatives, we are seeking a Technical Lead in Data Science to guide the design, implementation, and evolution of our analytical systems and mentor a growing team of data scientists. As a Technical Lead - Data Science, you will provide technical direction and management for a team of data scientists working on high-impact problems across trading and research systems. You will be responsible for shaping analytical frameworks, ensuring methodological rigor, and delivering insights that inform business and research decisions. You will collaborate with stakeholders in engineering, research, and leadership while driving innovation and excellence in our data science practice.Responsibilities Collaborate with Technical Product Owners in Research and Engineering to define priorities, scope solutions, and deliver actionable insights to stakeholders. Own investigations of complex production behaviors and design robust methods for identifying, analyzing, and communicating system anomalies. Mentor and manage junior and mid-level data scientists; provide architectural oversight for data projects. Serve as a technical authority within the data science function, set standards for data quality, statistical rigor, and reproducibility. Lead the design, development, and deployment of analytical pipelines to monitor and interpret production behavior across trading and research systems, ensuring its correctness. Champion best practices in data governance, tooling, and collaborative development (CI/CD, version control, code reviews). Drive continual growth and learning within the team by onboarding new Data Scientists, growing teams, and fostering a culture of curiosity, collaboration, and applied experimentation. Requirements Master's degree or higher in a quantitative, technical, or analytical field such as Data Science, Statistics, Computer Science, Engineering, Finance, or an MBA with strong analytical training. 3+ years of experience managing data scientists, including responsibility for performance development, technical direction, and project execution. Demonstrated ability to lead cross-functional data initiatives, translate business objectives into analytical goals, and ensure timely delivery. Strong understanding of data science fundamentals, including statistical analysis, data preparation, root cause investigation, and the proven ability to guide others' work in these areas. Familiarity with data tooling and workflows (e.g., SQL, Pandas, R, Airflow), with enough fluency to review and support technical contributors effectively. Basic software development skills and experience with bash, linux/unix, and git Experience communicating complex findings to executive and technical stakeholders, including presenting insights, tradeoffs, and recommendations. Track record of establishing scalable methodologies, driving technical standards, and fostering collaboration in fast-paced, analytically rigorous environments. Preferred Experience building or growing high-performing data science teams in production-aware or high-stakes settings. Exposure to financial markets, trading systems, or quantitative research environments. Familiarity with production monitoring systems, data quality pipelines, or analytics platform development. 7+ years of experience managing data scientists. Experience managing a large team or multiple teams. CompensationThe base salary range for this position is $195,000 to $225,000 in the location(s) of this posting. Individual salaries are determined by a variety of factors, including, but not limited to, education, experience, knowledge, skills, and geographic location. Base salary does not include other forms of total compensation, such as bonus compensation and other benefits. Our benefits package includes medical, dental, and vision coverage, as well as life and AD&D insurance, 20 days of paid time off, nine sick days, and a 401(k) plan with a company match. “Friends of Voleon” Candidate Referral ProgramIf you have a great candidate in mind for this role and would like to have the potential to earn $15,000 if your referred candidate is successfully hired and employed by The Voleon Group, please use this form to submit your referral. For more details regarding eligibility, terms, and conditions, please review the Voleon Referral Bonus Program. Equal Opportunity Employer The Voleon Group is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
$195k-225k yearly Auto-Apply 60d+ ago
Principal Data Scientist
Amerisave Mortgage 4.3
Remote
Description AmeriSave Mortgage Corporation is a leading fintech mortgage lender committed to transforming the home financing experience through data-driven innovation. We are building a world-class analytics organization to power smarter decisions across marketing, operations, and pricing. Role OverviewWe are seeking a highly skilled and strategic Principal Data Scientist to lead high-impact, hands-on initiatives across marketing analytics, workforce planning, lead routing, and pricing sensitivity. This is an individual contributor role ideal for someone who thrives on solving complex problems and delivering measurable business outcomes through advanced analytics, optimization, and modeling.Responsibilities:Marketing Analytics Build and deploy predictive models for lead conversion, customer lifetime value, and marketing ROI. Design and analyze experiments to evaluate campaign performance and optimize spend. Develop attribution frameworks and incrementality testing to guide marketing strategy. Workforce Planning & Optimization Design intelligent scheduling systems that align staffing with demand across mortgage and call center operations. Apply constraint-based optimization, linear/mixed-integer programming, and fatigue modeling to maximize productivity and SLA adherence. Integrate with workforce management systems to automate and enhance planning processes. Lead Routing & Pricing Sensitivity Develop machine learning models to optimize lead routing based on agent performance, availability, and customer profiles. Analyze pricing elasticity and customer sensitivity to rate changes across segments and channels. - Simulate pricing scenarios and recommend adjustments in collaboration with pricing and finance teams. Cross-Functional Collaboration Partner with stakeholders across Marketing, Sales, Operations, and Finance to translate business needs into analytical solutions. Present findings and recommendations to senior leadership in a clear, actionable manner. Qualifications: Master's or PhD in Data Science, Statistics, Operations Research, Computer Science, or a related field. 6+ years of experience in applied data science roles, preferably in high-volume, customer-facing environments. Strong proficiency in R, Python, SQL, and Power-BI Experience working with workforce management systems and call center focused organizations Demonstrated success in marketing analytics, workforce optimization, and pricing strategy. Experience working with credit bureau data **Please note that the compensation and benefit information that follows is a good faith estimate for this position only and is provided pursuant to applicable state and local laws on pay transparency. It is estimated based on what a successful applicant in the relevant state might be paid. ** Compensation The annual compensation for this position generally ranges between $130,000 - $200,000. Benefits · 401(k) · Dental insurance · Disability insurance · Employee discounts · Health insurance · Life insurance · Paid time off · 12 paid holidays per year · Paid training · Referral program · Vision insurance Supplemental pay types: · Referral bonuses AmeriSave is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. California Consumer Privacy Act Disclosure Acknowledgment Employment Applicants, New Hires, and Employees Residing in California AmeriSave Mortgage Corporation's Privacy Policy Statement (“Policy”) can be reviewed here: ******************************** AmeriSave Mortgage Corporation's California Consumer Privacy Act (“CCPA”) Recruitment Disclosure can be reviewed here: ****************************************************** When AmeriSave's Human Resources Department makes future requests for personal information, the same Policy is applicable. By applying, you understand this acknowledgment covers current and future personal information requests. You also acknowledge the business purpose of the personal information collected and that future requests may occur while applying for a position at AmeriSave and/or during employment, if applicable.
$130k-200k yearly Auto-Apply 5h ago
Data Scientist (USA-Remote)
The Voleon Group 4.1
Remote
Voleon is a technology company that applies state-of-the-art AI and machine learning techniques to real-world problems in finance. For nearly two decades, we have led our industry and worked at the frontier of applying AI/ML to investment management. We have become a multibillion-dollar asset manager, and we have ambitious goals for the future. Your colleagues will include internationally recognized experts in artificial intelligence and machine learning research as well as highly experienced finance and technology professionals. In addition to our enriching and collegial working environment, we offer highly competitive compensation and benefits packages, technology talks by our experts, a beautiful modern office, daily catered lunches, and more. The Voleon Group is forming a new team to help advance our data-driven investment initiatives. As a Data Scientist, you will be responsible for harvesting insights from a complex array of data. Your role will involve data curation, analysis, interpretation, visualization, and communication of your findings to members of the research staff and executive leadership. This role is a means to make a difference: as a machine learning company, data insights are essential to our business. Responsibilities Design and implement systems to ensure data correctness and monitor data health in data stores and live feeds Proactively identify abnormal production behavior and communicate them clearly to relevant stakeholders Perform extemporaneous analyses on research and production trading systems with leadership Harness financial expertise and statistical analysis to gain actionable insights into our production trading and research systems Design and implement analysis pipelines that automate those analyses found to be valuable for ongoing monitoring Requirements 1+ years of applied end-to-end industry experience, including internships working with complex datasets, including curation, querying, aggregation, exploratory data analysis, and visualization Experience using statistical methods to analyze data, identify patterns, conduct root cause analysis, discover insights, and recommend solutions Ability to frame and answer questions mathematically Ability to infer useful forward-looking directions from results of retrospective analysis Fluency in managing, processing, and visualizing tabular data using a combination of SQL, Pandas, and R Basic software development skills and experience with bash, linux/unix, and git Ability to refine requirements from ambiguous requests to produce reports demonstrating excellence in communication Bachelor's degree in a quantitative discipline (statistics, biostatistics, data science, computer science, or a related field) Preferred Master's degree in a quantitative discipline Prior industry experience or displayed interest in finance, such as related academic projects, coursework in financial engineering, or industry internships Experience developing in a production-facing environment and familiarity with standard concepts and tooling, e.g., CI/CD, git, Airflow CompensationThe base salary range for this position is $150,000 to $190,000 in the location(s) of this posting. Individual salaries are determined through a variety of factors, including, but not limited to, education, experience, knowledge, skills, and geography. Base salary does not include other forms of total compensation, such as bonus compensation and other benefits. Our benefits package includes medical, dental, and vision coverage, life and AD&D insurance, 20 days of paid time off, 9 sick days, and a 401(k) plan with a company match. “Friends of Voleon” Candidate Referral ProgramIf you have a great candidate in mind for this role and would like to have the potential to earn $7,500 if your referred candidate is successfully hired and employed by The Voleon Group, please use this form to submit your referral. For more details regarding eligibility, terms, and conditions, please make sure to review the Voleon Referral Bonus Program. Equal Opportunity EmployerThe Voleon Group is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law. #LI-MD1
$150k-190k yearly Auto-Apply 60d+ ago
Data Scientist, Lead
Braviant Holdings 4.2
Remote
Please note: While we appreciate interest from all applicants, Braviant Holdings is unable to sponsor visas at this time. Who We Are:Founded in 2015 and based in Chicago, IL, privately held Braviant Holdings, LLC is a leading provider of tech- enabled credit products which combine breakthrough technology and cutting-edge machine learning to transform how people access credit online. The Company's next-generation approach to lending reduces credit barriers and creates a Path to Prime helping millions of underbanked consumers build credit history, reduce their cost of borrowing, and take control of their personal finances. Bravianthas been named multiple times to the Inc. 5000 list of fastest growing private companies and has been recognized as a Best Place to Work. Position Summary:We are looking for an experienced Data Scientist to develop, implement and optimize the core machine learning models that drive our business. The right person for this role has strong technical skills with a solid background in machine learning and analytics. You will play a central role in delivering scalable, interpretable, and compliant models that drives Braviant's businessperformance while collaborating closely with partners across Marketing, Credit, Technology, and Compliance. This person is biased towards action and proactively seeking new solutions.What you'll be doing: Develop, implement and monitor performance of machine learning models across loan life cycle Design and implement A/B testing frameworks to validate hypothesis, analyze outcomes and drive continuous improvement Proactively perform data exploration and analysis to identify new opportunities to enhance model performance and business impact Collaborate with cross functional stakeholders to define and monitor business KPIs and influence product strategy Partner with Technology teams to build out data science pipelines to support continuous testing, optimization and implementation of new models Ensure rigorous documentation, governance, and model validation in accordance with financial services regulatory requirements What you'll bring: Degree in Data Science, Applied Mathematics, Statistics, Economics, Computer Science or a related field 4-6 years of professional experience in Data Science, Analytics or a related field within FinTech or online lending space. Advanced proficiency in Python for programming, data analysis, and predictive modeling Proficiency in SQL, Excel and experience with data visualization tools Excellent knowledge in applied statistical methods and experience using various predictive machine learning techniques including: linear models, decision trees, boosting, and ensemble models Knowledge of optimization, stochastic processes, experimental design, A/B testing and bootstrapping Passion for keeping your skills up to date and exploring new methodologies The ability to distill complex problems and analysis into a clear and concise narrative Benefits and Perks• Medical benefits paid by employer/employee split of 80/20• Participation in discretionary bonus plan• Dental and Vision covered at zero cost to you for employee only coverage• PTO, Sick and Floating Holidays• 14 Company Holidays• Participation in the Company Profits Interest Units long term incentive plan• Remote work environment• Monthly Internet stipend• Team and company events/get togethers Braviant is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, or any other characteristic protected by applicable law
$91k-134k yearly est. Auto-Apply 60d+ ago
Data Scientist, Lifecycle Marketing
Wealthfront 4.6
Remote
The Wealthfront Data Science team utilizes our rich financial and behavioral data to influence Marketing, Product and information security decisions. The team draws from backgrounds in Computer Science, Natural Sciences, Statistics, Operations Research, Economics and Finance. The Data Scientist in this role will be primarily embedded within Wealthfront's Lifecycle (LC) Marketing team. The objectives of the LC Marketing team are maximizing lead conversion and optimizing client engagement. The team addresses these goals by designing and executing personalized campaigns delivered via Emails, InApp merchandising, and push notifications. The set of potential projects for this role includes (but is not limited to) client segmentation, campaign design and analysis, and client value modeling. A successful Lifecycle Marketing Data Scientist employs a combination of economic intuition, first-principles mathematical modeling, statistics (including causal inference) and machine learning. A key desired trait for this role is an ability to collaboratively create experiments based on clients' hypothesized pain points, aspirations, and moments of delight. An ideal candidate will also act as a mentor to junior team members and demonstrate an ability to explain technical concepts in a simple language.Responsibilities Suggest and analyze Lifecycle Marketing campaigns rooted in clients' delight and friction. Employ and exemplify rigor in mathematical analyses and sound design principles in software development. Collaborate with the Lifecycle Marketing team to define quarterly and yearly initiatives. Turn initiatives into projects with clear rationale, candidate approaches and milestones. Execute planned projects through hands-on work and delegation. This includes tracking priority and progress of projects in weekly meetings. Articulate technical information, including assumptions, methodologies, and outcomes to specialists across disciplines. Translate hunches to hypotheses and numbers into recommendations. Absorb and articulate the Marketing strategy and project rationales to Data Scientists. Requirements Masters or PhD degree in Computer Science, Statistics, Operations Research or Natural Sciences, with 4-8+ years of prior experience as a Data Scientist. Proficiency in Python and SQL A strong foundation in practical Statistics including the use of causal inference. Strong mathematical and software engineering skills. Fluency in long and short form oral and written communication. Ability to sharpen or reframe project requirements through effective collaboration. Desire to mentor junior Data Scientists by exemplifying math, engineering and technical communication skills. Experience in a Marketing facing role preferred, but not required Estimated annual salary range: $164,000 - $184,000 plus Equity and a discretionary bonus. Benefits include medical, vision, dental, 401K plan, generous time off, parental leave, wellness reimbursements, professional development, employee investing discount, and more! About Wealthfront Here at Wealthfront, our mission is to create a financial system that favors people, not institutions. We do this by leveraging technology to build powerful, low-cost, and easy-to-use financial products that help modern investors grow and manage their money. We started with the ambition to transform the investment advisory business. By automating strategies typically reserved for the wealthy, we unlocked access to high quality investment advice for a digitally-native generation that was underserved by traditional institutions. Since then, we've expanded to a full suite of products designed to help our clients turn their savings into long-term wealth, including: • A Cash Account that, through our partner banks, offers one of the highest annual percentage yields on uninvested cash in the industry, while providing instant and secure access to your money with no account fees and a full suite of checking features. • A zero-commission Stock Investing Account with 50+ handpicked collections that help DIY investors discover new companies and make smarter investing decisions. • Multiple automated investing portfolios designed to unlock tax savings through sophisticated strategies like fixed income, tax-loss harvesting, and direct indexing-which we offer at industry-leading low costs and accessible minimums. Our award-winning products have attracted over 1 million clients who trust us with more than $85 billion of their hard earned savings-and we're far from done. If you're inspired to help us reshape the financial industry as we create our next chapter, let's talk! For more information please visit ********************** are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Please review our candidate privacy notice. Disclosures: All investing involves risk, including the possible loss of principal. Tax-Loss Harvesting benefits vary depending on the client's entire tax and investment profile. Wealthfront doesn't provide tax advice. The Cash Account is offered by Wealthfront Brokerage LLC (“Wealthfront Brokerage”), Member of FINRA/SIPC. Wealthfront Brokerage is not a bank. We convey funds to partner banks who accept and maintain deposits, provide the variable interest rate, and provide access to FDIC pass-through insurance. Investment management and advisory services-which are not FDIC insured-are provided by Wealthfront Advisers LLC (“Wealthfront Advisers”), an SEC-registered investment adviser. The checking features offered in the Wealthfront Cash Account are provided by Green Dot Bank, Member FDIC. Fees and Eligibility requirements may apply to certain checking features, please see the Deposit Account Agreement for details. By “award-winning products”, please refer to *************************** for more information. Wealthfront Corporation oversees Total Client Assets and Trusted Clients through Wealthfront Advisers and Wealthfront Brokerage. Wealthfront Advisers and Wealthfront Brokerage are wholly owned subsidiaries of Wealthfront Corporation.
$164k-184k yearly Auto-Apply 22d ago
Product Data Scientist-Vice President
Jpmorgan Chase & Co 4.8
Wilmington, DE jobs
JobID: 210677581 JobSchedule: Full time JobShift: Base Pay/Salary: New York,NY $142,500.00-$210,000.00 Transform business challenges into data-driven solutions-your insights will fuel growth and competitive advantage. As a Data Scientist on the Commerce Payments product team, you'll be responsible for identifying, developing, and executing data and analytics solutions for embedded payments, including digital wallets and card-on-file in ecommerce. You will work closely with quad partners (Product, Technology, Operations, and Risk) to deliver actionable insights and support data-driven decision-making. Job Responsibilities * Collaborate with quad partners to understand business needs and translate them into analytics requirements and solutions. * Lead the design, development, and implementation of advanced analytics solutions, including dashboards, predictive models, and reporting tools. * Communicate analytics findings and recommendations to quad partners and other stakeholders. * Build strong relationships across Product, Technology, Design, and Risk teams to ensure alignment and impact. * Manage, mentor, and develop junior analytics team members, fostering a collaborative and high-performance culture. * Ensure data integrity and quality in all analytics deliverables. * Partner with Technology and Data teams to maintain secure and compliant data practices. * Stay current with analytics best practices, tools, and industry trends. * Identify opportunities to enhance analytics processes and methodologies. Required Qualifications, Capabilities, and Skills * Bachelor's or Master's degree in Data Science, Analytics, Statistics, Computer Science, or related field. * 6+ years of experience in analytics, data science, or business intelligence, with at least 2 years in a people management or team lead role. * Proficiency in analytics tools and technologies (e.g., SQL, Python, R, Tableau, Power BI). * Experience supporting product teams * Strong communication and stakeholder management skills. * Demonstrated ability to lead and develop analytics team members. This role is not eligible for visa sponsorship or relocation assistance
$142.5k-210k yearly Auto-Apply 9d ago
Data Scientist
Tata Consulting Services 4.3
Newark, DE jobs
Must Have Technical/Functional Skills Primary: Artificial intelligence, ML, LLM Secondary: Data science, Python, NLP, Agile tools Experience: 10+ Roles & Responsibilities Experience with NLP, deep learning, or time series analysis. Experience deploying models to production environments. Knowledge of regulatory requirements and compliance in banking and finance. Familiarity with MLOps practices and tools. Experience with Agile methodology and tools (JIRA or Rally) Proven experience as a Data Scientist in Banking or a similar domain Proficiency in Python or R, and experience with data science libraries (e.g., pandas, scikit-learn, TensorFlow, PyTorch). Hands-on experience with large language models (e.g., OpenAI GPT, Llama, or similar), including fine-tuning and prompt engineering. Strong knowledge of statistics, machine learning, and data mining techniques. Experience with data visualization tools (e.g., Tableau, Power BI). Experience with Big Data Platforms (Hadoop). Familiarity with SQL and working with relational databases. Excellent problem-solving, communication, and collaboration skills. Experience with cloud platforms (AWS, Azure, or GCP) is a plus. Analyze large financial datasets to extract insights and support business decisions. Develop, implement, and evaluate machine learning models and algorithms tailored to banking and finance use cases (e.g., risk modeling, fraud detection, customer segmentation). Apply and fine-tune large language models (LLMs) for tasks such as document analysis, customer communication, and regulatory compliance. Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions. Communicate findings and recommendations through reports, dashboards, and presentations. Work with data engineers to ensure data quality and pipeline reliability. Salary Range- $120,000-$135,000 a year
$120k-135k yearly 9d ago
PXT (People Experience & Technology) - Data Scientist Associate
Jpmorgan Chase 4.8
Wilmington, DE jobs
Join us to shape the future of data strategy and governance. As part of our team, you'll drive impactful data initiatives, support career growth, and collaborate with experts to deliver innovative solutions. As a Data Scientist Associate in the PXT (People Experience & Technology) Data Strategy team, you will develop and maintain data architecture, standardized definitions, and comprehensive metadata. You will help ensure data quality, integrity, and compliance, supporting integration and migration efforts. You'll work closely with business and technical partners, fostering a collaborative and inclusive team culture. You will act as a subject matter expert for assigned data domains, document data lineage, and support the industrialization of data processes. Your work will enable data discoverability, understanding, and governance across the organization. Job Responsibilities + Develop and maintain standardized data definitions and comprehensive metadata for assigned data sources + Analyze data sets to identify quality issues and implement effective cleansing strategies + Create and document detailed data lineage, ensuring traceability between data fields and sources + Build and maintain high-quality metadata to enable data discoverability, understanding, and governance + Support data integration and migration efforts as part of the industrialization process + Ensure data quality, integrity, and compliance with governance policies within assigned domains + Act as subject matter expert for assigned data domains Required Qualifications, Capabilities, and Skills + Three years in data management, data engineering, data scientist or related roles + Strong analytical, data profiling, and problem-solving skills; able to identify and resolve data quality issues + Proven ability to create, document, and maintain high-quality metadata and data lineage for complex data sets + Technically proficient in data management tools, data governance, quality assurance, lifecycle management, and data integration + Experience with data security, privacy regulations, and data-driven decision-making + Excellent communication and documentation skills; able to translate complex data insights into actionable recommendations and clear reports + Collaborative team player with experience working across business and technical stakeholders + Strategic thinking and adaptability; able to align data initiatives with business goals and adjust to changing priorities + Experience driving process improvements and optimizing data workflows Preferred Qualifications, Capabilities, and Skills + Experience with advanced data visualization platforms + Experience in financial services or similar regulated industries + Experience with data cataloging and data discoverability platforms Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. Equal Opportunity Employer/Disability/Veterans **Base Pay/Salary** Jersey City,NJ $114,000.00 - $170,000.00 / year
$114k-170k yearly 60d+ ago
Applied AI Lead Data Scientist - Vice President
Jpmorgan Chase 4.8
Wilmington, DE jobs
Join us as we revolutionize data and analytics with cutting-edge Generative AI, shaping the future of our organization. Experience career growth, collaborate with top talent, and make a meaningful impact through ethical and sustainable AI practices. As a Generative AI Data Science Lead in the Applied Solutions Team, you will drive the development and optimization of LLM-aided AI products. You work closely with cross-functional teams to deliver scalable solutions that support our business objectives and foster innovation. You will help shape the future of our organization by leveraging advanced data science and engineering practices. You will collaborate with the ML Centre of Excellence, AI Research, and Engineering teams to design and deliver high-impact GenAI products and APIs. Your expertise will ensure our solutions are robust, scalable, and aligned with the needs of our business and stakeholders. Job Responsibilities + Combine vast data assets with advanced AI, including LLMs and Multimodal LLMs + Bridge scientific research and software engineering, applying expertise in both domains + Collaborate with engineering teams to lead the design and delivery of GenAI products + Architect and implement scalable AI Agents, Agentic Workflows, and GenAI applications + Integrate GenAI solutions with enterprise platforms using API-based methods + Establish validation procedures with Evaluation Frameworks, bias mitigation, safety protocols, and guardrails + Align ML problem definition with business objectives + Communicate technical information and ideas effectively to stakeholders Required Qualifications, Capabilities, and Skills + Bachelor's Degree in a quantitative discipline such as Computer Science, Mathematics, or Statistics + Ten years of experience in an individual contributor role in ML engineering + Strong understanding of statistics, optimization, and ML theory, focusing on NLP and/or Computer Vision algorithms + Demonstrated experience in parameter-efficient fine-tuning, model quantization, and quantization-aware fine-tuning of LLM models + Experience integrating GenAI solutions with enterprise platforms via standardized API patterns + Ability to establish validation procedures, including Evaluation Frameworks, bias mitigation, safety protocols, and guardrails + Excellent grasp of computer science fundamentals and SDLC best practices + Strong communication skills to build trust with stakeholders Preferred Qualifications, Capabilities, and Skills + PhD in a quantitative discipline such as Computer Science, Mathematics, or Statistics + Experience designing and implementing pipelines using DAGs such as Kubeflow, DVC, or Ray + Ability to construct batch and streaming microservices exposed as gRPC or GraphQL endpoints + Hands-on experience implementing distributed, multi-threaded, and scalable applications using frameworks such as Ray, Horovod, or DeepSpeed *** Relocation assistance is not available for this role. Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. Equal Opportunity Employer/Disability/Veterans **Base Pay/Salary** Jersey City,NJ $164,350.00 - $260,000.00 / year; Chicago,IL $137,750.00 - $235,000.00 / year
$89k-116k yearly est. 60d+ ago
Lead Data Scientist
Jpmorgan Chase & Co 4.8
Wilmington, DE jobs
JobID: 210690806 JobSchedule: Full time JobShift: : Preferred candidates will have a strong working knowledge of common workflows for data analysis, data preparation and model development. They must have a working knowledge of data analysis and manipulation tools, statistics (e.g. statistical distributions and probability) and have experience with applying supervised and unsupervised learning models to solve well defined problems. They should possess the ability to develop statistical and Deep Learning models, measure their outcomes and be able to interpret them for business stakeholders. Candidates should have a working knowledge of Generative AI models, transformer architectures and when to apply these tools and techniques. As a Lead Data Scientist at JPMorgan Chase within the Cybersecurity and Technology Controls line of business, you are an integral part of team that works to deliver Machine Learning solutions that satisfy pre-defined functional and user requirements with the added dimension of detection and prevention of misuse, circumvention, and malicious behavior. As a core technical contributor, you are responsible for carrying out critical technology solutions with tamper-proof, audit defensible methods across multiple technical areas within various business functions. Job Responsibilities * Works with stakeholders and business leaders to understand security needs and recommend business modifications during periods of vulnerability. * Work with cybersecurity engineers and data engineers to acquire data that addresses each use case (fraud, anomaly detection, Cyber threats). * Perform Exploratory Data Analysis on datasets and communicate results to stakeholders. * Select statistical or Deep Learning models that are best positioned to achieve business results. * Perform feature engineering or hyperparameter tuning to optimize model performance. * Perform model governance activities for model interpretability, testability and results. * Executes creative security solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions and break down technical problems. * Develops secure and high-quality production code and reviews and debugs code written by others. * Minimizes security vulnerabilities by following industry insights and governmental regulations to continuously evolve security protocols, including creating processes to determine the effectiveness of current controls. Required qualifications, capabilities, and skills * Formal training or certification on security engineering concepts and 5+ years applied experience. * Advanced in one or more programming languages * Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security * Working knowledge of probability, statistics and statistical distributions and their applicability to use cases and the ability to perform Exploratory Data Analysis using Jupyter or SageMaker Notebooks * Proficient in Pandas, SQL and Data Visualization tools such as Matplotlib, Seaborn or Plotly * Working knowledge of Scikit-Learn for development of classification, regression and clustering models and Deep Learning frameworks such as PyTorch * Experience with feature engineering complex datasets. * Possess the ability to explain model selection, model interpretability and performance metrics verbally and in writing. Preferred qualifications, capabilities, and skills * Bachelor's degree in Data Science, Mathematics, Statistics, Econometrics or Computer Science and 7+ years data-science experience (Exploratory Data Analysis, statistical analysis and reporting results). * Experience with Knowledge Graphs, graph analytics and graph databases a plus. * Working knowledge of Large Language Models (LLM), NLP, Embedding Models and Vector Databases. * Experience with Retrieval Augmented Generation (RAG) applications and the frameworks used to create them such as Langchain or Llamaindex. * Experience with AI Agent frameworks such as Google ADK and Langraph * Experience deploying Statistical or Machine Learning models via AWS SageMaker in a production setting. * Working knowledge of Responsible AI, model fairness, and reliability and safety.
$89k-116k yearly est. Auto-Apply 5d ago
PXT (People Experience & Technology) - Data Scientist Associate
Jpmorganchase 4.8
Wilmington, DE jobs
Join us to shape the future of data strategy and governance. As part of our team, you'll drive impactful data initiatives, support career growth, and collaborate with experts to deliver innovative solutions. As a Data Scientist Associate in the PXT (People Experience & Technology) Data Strategy team, you will develop and maintain data architecture, standardized definitions, and comprehensive metadata. You will help ensure data quality, integrity, and compliance, supporting integration and migration efforts. You'll work closely with business and technical partners, fostering a collaborative and inclusive team culture. You will act as a subject matter expert for assigned data domains, document data lineage, and support the industrialization of data processes. Your work will enable data discoverability, understanding, and governance across the organization. Job Responsibilities Develop and maintain standardized data definitions and comprehensive metadata for assigned data sources Analyze data sets to identify quality issues and implement effective cleansing strategies Create and document detailed data lineage, ensuring traceability between data fields and sources Build and maintain high-quality metadata to enable data discoverability, understanding, and governance Support data integration and migration efforts as part of the industrialization process Ensure data quality, integrity, and compliance with governance policies within assigned domains Act as subject matter expert for assigned data domains Required Qualifications, Capabilities, and Skills Three years in data management, data engineering, data scientist or related roles Strong analytical, data profiling, and problem-solving skills; able to identify and resolve data quality issues Proven ability to create, document, and maintain high-quality metadata and data lineage for complex data sets Technically proficient in data management tools, data governance, quality assurance, lifecycle management, and data integration Experience with data security, privacy regulations, and data-driven decision-making Excellent communication and documentation skills; able to translate complex data insights into actionable recommendations and clear reports Collaborative team player with experience working across business and technical stakeholders Strategic thinking and adaptability; able to align data initiatives with business goals and adjust to changing priorities Experience driving process improvements and optimizing data workflows Preferred Qualifications, Capabilities, and Skills Experience with advanced data visualization platforms Experience in financial services or similar regulated industries Experience with data cataloging and data discoverability platforms
$89k-116k yearly est. Auto-Apply 60d+ ago
Data Scientist
Gelfand, Rennert & Feldman 4.1
Boston, MA jobs
We are seeking a highly capable Data Scientist with approximately three years of experience to accelerate our journey toward data-driven wealth management. In this role, you will partner closely with advisors, investment professionals, and technology teams to unlock insights that enhance portfolio construction, client personalization, and operational performance. This position blends financial domain knowledge with advanced analytics and machine learning, offering an opportunity to influence the evolution of our data ecosystem and the future of our platform. This role can be located in St. Louis, MO; Boston, MA. Primary Responsibilities Analyze large, complex financial and client datasets to uncover trends, behavioral patterns, and investment signals. Design, validate, and operationalize predictive models to support asset allocation, risk assessment, and client segmentation strategies. Collaborate with business and financial stakeholders to translate strategic objectives into analytical approaches and data-driven solutions. Build and maintain scalable data pipelines and workflows, ensuring reliable data ingestion, transformation, and quality within Snowflake environments. Develop intuitive dashboards, visualizations, and reporting artifacts (Power BI, Tableau, or similar) to communicate insights and influence decision-making. Work closely with engineering teams to integrate analytical outputs and models directly into core wealth management systems and workflows. Maintain thorough documentation and uphold data governance, controls, and compliance standards aligned with financial regulations and industry best practices. Qualifications Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Finance, or a related quantitative field. 3+ years of hands-on experience in Data Science, ideally within financial services, wealth management, investment analytics, or related sectors. Strong programming experience in Python or R for statistical modeling, machine learning, and data manipulation. Proficiency in SQL and demonstrated experience with Snowflake for data warehousing and analytical workloads. Solid understanding of financial instruments, portfolio construction, performance metrics, and risk modeling concepts. Experience with data visualization and business intelligence platforms (e.g., Tableau, Power BI, Looker). Familiarity with cloud environments (AWS, Azure, or GCP) and modern data stack components. Exceptional communication and stakeholder engagement skills, with the ability to convey complex concepts to non-technical audiences. Experience with OpenAI function calling, MCP servers, or custom agent integration Experience with Retrieval-Augmented Generation (RAG) and vector database expertise Experience working with modern LLMs (OpenAI, Anthropic, Google) This is an exempt position. The annualized base pay range for this role is expected to be between $180,000-$240,000. Actual base pay could vary based on factors including but not limited to experience, subject matter expertise, geographic location where work will be performed, and the applicant's skill set. The base pay is just one component of the total compensation package for employees. Other rewards may include an annual cash bonus and a comprehensive benefits package, including but not limited to medical, dental, vision, life and 401(k). Please note that the job title is subject to change based on the selected candidate's experience and education. Focus is a leading partnership of fiduciary wealth management and related financial services firms. Focus provides access to best practices, greater resources, and continuity planning for its affiliated advisory firms, which serve individuals, families, employers, and institutions with comprehensive financial services. Focus firms and their clients benefit from the solutions, synergies, scale, economics, and best practices offered by Focus to achieve their business objectives. For more information about Focus, please visit ******************************* The following language is for US based roles only For California Applicants: Information on your California privacy rights can be found here For Indiana Applicants: It is unlawful for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component. For Maryland Applicants: I UNDERSTAND THAT UNDER MARYLAND LAW, AN EMPLOYER MAY NOT REQUIRE OR DEMAND, AS A CONDITION OF EMPLOYMENT, PROSPECTIVE EMPLOYMENT OR CONTINUED EMPLOYMENT, THAT ANY INDIVIDUAL SUBMIT TO OR TAKE A POLYGRAP OR SIMILAR TEST. AN EMPLOYER WHO VIOLATES THIS LAW IS GUILTY OF A MISDEMEANOR AND SUBJECT TO A FINE NOT EXCEEDING $100. For Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this shall be subject to criminal penalties and civil liability. For Montana Applicants: If hired, the employment relationship is governed by the Wrongful Discharge from Employment Act. Mont. Code Ann. Section 39-2-901. For Rhode Island Applicants: Focus is subject to Chapters 29-38 of Title 28 of the General Laws of Rhode Island and is therefore covered by the state's workers' compensation law. If you willfully provide false information about your ability to perform the essential functions of the job, with or without reasonable accommodations, you may be barred from filing a claim under the provisions of the Workers' Compensation Act of the State of Rhode Island if the false information is directly related to the personal injury that is the basis for the new claim for compensation. The Company complies fully with the Americans with Disabilities Act.
$78k-112k yearly est. Auto-Apply 2d ago
Manager, Data Scientist, DMP
Standard Chartered 4.8
Indiana jobs
Apply now Work Type: Office Working Employment Type: Permanent Job Description: This role is a role within the Deposit pricing analytics team in SCMAC. The primary focus of the role is: * To develop AI solutions that are fit for purpose by leveraging advanced data & analytical tools and technology with in WRB. The individual will be responsible for end-to-end analytics solution development, deployment, performance assessment and to produce high-quality data science conclusions, backed up by results for WRB business. * Takes end-to-end responsibility for translating business question into data science requirements and actions. Ensures model governance, including documentation, validation, maintenance, etc. * Responsible for performing the AI solution development and delivery for enabling high impact marketing use cases across products, segments in WRB markets. * Responsible for alignment with country product, segment and Group product and segment teams on key business use cases to address with AI solutions, in accordance with the model governance framework. * Responsible for development of pricing and optimization solutions for markets * Responsible for conceptualizing and building high impact use cases for deposits portfolio * Responsible for implementation and tracking of use case in markets and leading discussions with governance team on model approvals Key Responsibilities Business * Analyse and agree on the solution Design for Analytics projects * On the agreed methodology develop and deliver analytical solutions and models * Partner creating implementation plan with Project owner including models benefit * Support on the deployment of the initiatives including scoring or implementation though any system * Consolidate or Track Model performance for periodic model performance assessment * Create the technical and review documents for approval * Client Lifecycle Management ( Acquire, Activation, Cross Sell/Up Sell, Retention & Win-back) * Enable scientific "test and learn" for direct to client campaigns * Pricing analytics and optimization * Digital analytics including social media data analytics for any new methodologies * Channel optimization * Client wallet utilization prediction both off-us and on-us * Client and product profitability prediction Processes * Continuously improve the operational efficiency and effectiveness of processes * Ensure effective management of operational risks within the function and compliance with applicable internal policies, and external laws and regulations Key stakeholders * Group/Region Analytics teams * Group / Region/Country Product & Segment Teams * Group / Region / Country Channels/distribution * Group / Region / Country Risk Analytics Teams * Group / Regional / Country Business Teams * Support functions including Finance, Technology, Analytics Operation Skills and Experience * Data Science * Anti Money Laundering Policies & procedures * Modelling: Data, Process, Events, Objects * Banking Product * 2-4 years of experience (Overrall) About Standard Chartered We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us. Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion. Together we: * Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do * Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well * Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term What we offer In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing. * Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations. * Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum. * Flexible working options based around home and office locations, with flexible working patterns. * Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits * A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning. * Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential. Apply now Information at a Glance * * * * *
$61k-83k yearly est. 21d ago
Principal Data Scientist (Compliance)
Navy Federal 4.7
Vienna, VA jobs
Navy Federal Credit Union currently does not provide sponsorship for this role. Applicants must be authorized to work in the United States without the need for current or future sponsorship. Provide independent data science, machine learning, and analytical insights using member, financial, and organizational data to support mission critical decision making for Compliance. Understand business needs and identify opportunities for improvements to products, services, and processes to meet business objectives using cutting-edge data science. Develop artificial intelligence models and insights to drive impact across the organization. Regarded as an advanced professional in the data science field. Conduct complex work under minimal supervision and with wide latitude for independent judgment. Individual contributor and mentor to junior staff. 6+ years of experience with requisite competencies Complete knowledge and full understanding of specialization Statistics, machine learning, data mining, data auditing, aggregation, reconciliation, and visualization Advanced knowledge of natural language processing, sentiment analysis, anomaly detection, geospatial analytics, etc. Understanding of data models, large datasets, business/technical requirements, BI tools, statistical programming languages and libraries Programming, data modeling, simulation, and advanced mathematics Advanced knowledge of SQL, R, Python, Microsoft Azure, and Databricks Model lifecycle execution Technical writing Data storytelling and technical presentation skills Research Skills Interpersonal Skills Advanced knowledge of procedures, instructions and validation techniques Model Development Communication Critical Thinking Collaborate and Build Relationships Initiative with sound judgement Technical (Big Data Analysis, Coding, Project Management, Technical Writing, etc.) Independent Judgment Problem Solving (Identifies the constraints and risks) Bachelor's Degree in Data Science, Statistics, Mathematics, Computers Science, Engineering, or degrees in similar quantitative fields Desired Qualifications: Master's/PhD Degree in Data Science, Statistics, Mathematics, Computers Science, or Engineering Familiar with Data Integration, Data Governance and Data Warehousing Familiar with project management concepts and frameworks such as Agile Frameworks (SAFE), Communication Strategy and Management, Delivery Excellence and Requirements management Hours: Available Monday - Friday, 8:00AM - 4:30PM Location: 820 Follin Lane, Vienna, VA 22180 Design, develop, and evaluate natural language processing, sentiment analysis, anomaly detection, geospatial analytics, etc. Design, develop, and evaluate large and complex predictive models and advanced algorithms Test hypotheses/models, analyze, and interpret results Develop actionable insights and recommendations Develop and code complex software programs, algorithms, and automated processes Use evaluation, judgment, and interpretation to select right course of action Work on problems of diverse scope where analysis of information requires evaluation of identifiable factors Produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets Transform data into charts, tables, or format that aids effective decision making Utilize effective written and verbal communication to document analyses and present findings analyses to a diverse audience of stakeholders Develop and maintain strong working relationships with team members, subject matter experts, and leaders Lead moderate to large projects and initiatives Model best practices and ethical AI Works with senior management on complex issues Assist with the development and enhancement practices, procedures, and instructions Serve as technical resource for other team members Mentor lower levels
$72k-95k yearly est. Auto-Apply 7d ago
Data Scientist
Navy Federal 4.7
Virginia jobs
The Data Analytics and Reporting team at NFFG develops scalable analytics solutions that support investment strategy, member engagement, and business performance. This role involves building predictive models and applying mathematical optimization to improve targeting and decision-making. Responsibilities also include automating data pipelines and workflows, developing interactive dashboards, and producing recurring reports that deliver clear, actionable insights. Success in this role requires strong technical skills, business understanding, and the ability to communicate analytical findings effectively across teams Responsibilities Develop and deploy predictive models (classification, regression, clustering, time series) to support investment behavior analysis and member targeting. Automate data pipelines and modeling workflows for scalable deployment across data channels. Develop interactive dashboards to visualize key trends and model insights Apply mathematical optimization to improve portfolio strategy, and campaign effectiveness. Conduct deep-dive analyses on member behavior, transactions, and product adoption to guide data-driven decisions. Collaborate with cross-functional teams to align analytics with business objectives. Present findings clearly to technical and non-technical audiences Model monitoring and documentation Qualifications 2-3 years of experience with requisite competencies Proficient in Python, SQL, PySpark, Power BI (or Tableau) Hands-on experience with statistics, machine learning, time series forecasting, and mathematical optimization Strong communication, collaboration and presentation and problem-solving skills Experience with cloud platforms (e.g., Azure Databricks) Research skills Independent judgment Data storytelling and technical presentation skills Problem solving and critical thinking Bachelor's Degree in Computers Science, Engineering, Statistics, Operations Research, Mathematics, or degrees in similar quantitative fields Desired Qualifications Master's Degree in Data Science, Statistics, Mathematics, Computer Science, or Engineering 3+ years of experience with requisite competencies Hours: Monday - Friday, 8:00AM - 4:30PM Hybrid Location: 820 Follin Lane, Vienna, VA 22180 This position is eligible for the TalentQuest employee referral program. If an employee referred you for this job, please apply using the system-generated link that was sent to you. Navy Federal Credit Union currently does not provide sponsorship for this role. Applicants must be authorized to work in the United States without the need for current or future sponsorship.
$72k-94k yearly est. Auto-Apply 7d ago