Biostatistician jobs at Danaher - 577 jobs

A leading financial services company is seeking a Principal Associate, Data Scientist to join their innovative AI Foundations team in McLean, Virginia. This role involves building and deploying advanced AI/ML solutions, collaborating with diverse teams, and transforming complex data insights into actionable business strategies. Candidates should possess a deep understanding of data analytics and machine learning technologies, with a strong emphasis on customer-centric innovations. A Bachelor's degree or higher in a quantitative field is required. #J-18808-Ljbffr

A leading financial services company is seeking a Principal Associate, Data Scientist specializing in privacy-preserving machine learning and analytics. In this role, you will leverage advanced technologies to tackle complex business challenges while ensuring data privacy. Candidates should possess a strong background in data analytics, machine learning, and programming with Python. This position is based in McLean, Virginia, offering competitive compensation and opportunities for growth. #J-18808-Ljbffr

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

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

Job Classification: Technology - Data Analytics & Management As the Global Asset Management business of Prudential, we're always looking for ways to improve financial services. We're passionate about making a meaningful impact - touching the lives of millions and solving financial challenges in an ever-changing world. We also believe talent is key to achieving our vision and are intentional about building a culture on respect and collaboration. When you join PGIM, you'll unlock a motivating and impactful career - all while growing your skills and advancing your profession at one of the world's leading global asset managers! If you're not afraid to think differently and challenge the status quo, come and be a part of a dedicated team that's investing in your future by shaping tomorrow today. At PGIM, You Can! PGIM Data Science is a newly established team and you will join it as key founding member. As the Data Scientist for PGIM, you play a pivotal role in shaping and executing PGIM's data-driven strategy, specifically in asset management area. You will partner with other cross-functional teams, data engineers, financial analysts and business leaders to shape the future of PGIM's data landscape. This role closely engages with the development of advanced data science projects and data driven insights to significantly elevate business outcomes. You will solve meaningful business problems using advanced machine learning models. This role is based in our office in Newark, NJ. Our organization follows a hybrid work structure where employees can work remotely and/ from the office, as needed, based on demands of specific tasks or personal work preferences. This position is hybrid and requires your on-site presence on a reoccurring weekly basis 3 days per week and can change based on future updates to the company's in-office presence policy. Responsibilities Drive the development, deployment, and optimization of advanced machine learning models for financial applications, ensuring scalability, accuracy, and robustness. Design and implement machine learning models, including regression, classification, clustering, time-series forecasting, natural language processing (NLP) and reinforcement learning for cross-divisional asset management mandate. Build robust feature engineering pipelines by leveraging financial data sources, transactional datasets, and alternative data. Ensure model interpretability and risk mitigation, aligning with model risk management and governance frameworks. Conduct model validation, back-testing, and performance monitoring, implementing adaptive strategies based on market conditions. Collaborate with quantitative researchers, financial analysts, and engineering teams to integrate models into real-time production environments. Optimize model efficiency, robustness, and compliance with regulatory guidelines. Qualifications A minimum of a Master's degree in Statistics, Data Science, Applied Mathematics, Computer Science, or comparable quantitative disciplines. PhD is preferred. 1+ years of working experience in advanced machine learning techniques, including: Reinforcement Learning (Q-learning, deep Q-networks, policy gradient methods) Natural Language Processing (text embeddings, topic modeling, entity recognition, transformer-based models for financial document analysis) Hands-on experience in back-testing, and performance evaluation and monitoring of the models in asset management industry Preferably hands-on experience in developing LLM, NLP, NLU, NLG, deep learning models, and transformer models, with a focus on developing conversational AI solutions. Proficiency in Python, R, SQL, and the corresponding machine learning libraries. Preferably strong knowledge of machine learning application in financial industry, but not required. Experience in deploying ML models into production, optimizing for efficiency, scalability, and interpretability. Excellent documentation, communication and presentation skills, can influence without authority Team-orient mindset and can-do attitude What we offer you: Market competitive base salaries, with a yearly bonus potential at every level. Medical, dental, vision, life insurance, disability insurance, Paid Time Off (PTO), and leave of absences, such as parental and military leave. 401(k) plan with company match (up to 4%). Company-funded pension plan. Wellness Programs including up to $1,600 a year for reimbursement of items purchased to support personal wellbeing needs. Work/Life Resources to help support topics such as parenting, housing, senior care, finances, pets, legal matters, education, emotional and mental health, and career development. Education Benefit to help finance traditional college enrollment toward obtaining an approved degree and many accredited certificate programs. Employee Stock Purchase Plan: Shares can be purchased at 85% of the lower of two prices (Beginning or End of the purchase period), after one year of service. Eligibility to participate in a discretionary annual incentive program is subject to the rules governing the program, whereby an award, if any, depends on various factors including, without limitation, individual and organizational performance. To find out more about our Total Rewards package, visit Work Life Balance | Prudential Careers. Some of the above benefits may not apply to part-time employees scheduled to work less than 20 hours per week. Prudential Financial, Inc. of the United States is not affiliated with Prudential plc. which is headquartered in the United Kingdom. Prudential is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender identity, national origin, genetics, disability, marital status, age, veteran status, domestic partner status, medical condition or any other characteristic protected by law. If you need an accommodation to complete the application process, please email accommodations.hw@prudential.com. If you are experiencing a technical issue with your application or an assessment, please email *************************************** to request assistance.

Job DescriptionSr. Data Scientist (100% remote) ARC Group is currently seeking a Sr. Data Scientist to join a global leader in shipping and enterprise logistics services. The Data Scientist will be an integral part in helping the organization by working with numerous departments to develop solutions for customers, make sure products are as needed, and that quality and performance of products are met. This is NOT a junior position nor a developer role, it is a need for a Data Scientist that will look at arrays of capture points and customer data, model and analyze date to create better solutions and solve problems. This requires you to have permanent work authorization and not need sponsoring now or in the future. (No C2C, no brokering). Data Scientist Responsibilities: Align with SMEs to outline analytic requirements and devising the analytics that meet the requirements Develop data models top optimize and improve work of e-commerce functions Understand the flow of data in the domestic product portfolio and define new solutions to capture the right data to help measure performance Recognize emerging machine learning and pattern recognition algorithms and work with the team to integrate state-of-the-art algorithms into various solutions including product performance Become a SME for all domestic product portfolio data sources and help define interfaces across various data points to consolidate to produce required analytics Gain industry knowledge to understand and lead analyses of customer injection, market trends and competitive landscape Data Scientist Requirements: Bachelor's (master's is a plus) or higher from an accredited college or university in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering, data science or computer science). Must have data modeling, predictive analytics and/or machine learning experience 5 years of related work experience in two or more of the following: designing/implementing machine learning, data mining, advanced analytical algorithms, advanced statistical analysis, artificial intelligence, or software engineering with data analysis software MUST HAVE experience in Azure and Azure Data Lake Storage / ADLS Hands-on work with Azure tools: Power BI, Azure Synapse and Azure Data Explorer, SQL. You should know how to build a report off Azure and link it to Power BI This is not a developer position, but you must possess strong SQL coding skills Experience in data mining and understanding of machine-learning and operations research is an advantage Analytical mind and business acumen with a problem-solving aptitude and the communication skills to utilize these skills Nice to have: Experience in data mining and understanding of machine-learning and operations research is an advantage Proficiency in Excel, PowerPoint, MS Access is a plus Knowledge of using machine learning workflow/toolkits i.e., Kubeflow and analytics engine i.e. Spark Any familiarity with other data analytics tools, data frameworks (e.g., Hadoop) is an asset Knowledge of Python will be a plus Would you like to know more about our new opportunity? For immediate consideration, please apply online while viewing all open jobs at ******************* . ARC Group is a Forbes-ranked a top 20 recruiting and executive search firm working with clients nationwide to recruit the highest quality technical resources. We have achieved this by understanding both our candidate's and clients' needs and goals and serving both with integrity and a shared desire to succeed. We are proud to be an equal-opportunity workplace dedicated to pursuing and hiring a diverse workforce.

Our vision for the future is based on the idea that transforming financial lives starts by giving our people the freedom to transform their own. We have a flexible work environment, and fluid career paths. We not only encourage but celebrate internal mobility. We also recognize the importance of purpose, well-being, and work-life balance. Within Empower and our communities, we work hard to create a welcoming and inclusive environment, and our associates dedicate thousands of hours to volunteering for causes that matter most to them. Chart your own path and grow your career while helping more customers achieve financial freedom. Empower Yourself. ***Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time, including CPT/OPT.*** The Senior Data Scientist of Responsible AI serves as a senior individual contributor within Empower's Responsible AI (RAI) team. This role embeds directly with multiple AI delivery teams as a matrixed partner, ensuring AI and GenAI systems are measurable, transparent, safe, and aligned with Responsible AI principles. The position focuses on evaluation methodology, model behavior analysis, and operationalizing Responsible AI practices in collaboration with engineering, QA, security, and governance partners. What you will do: Lead evaluation and validation of AI and GenAI systems, including assessment of hallucination, fairness, robustness, explainability, and other model behavior risks. Design and implement repeatable evaluation workflows, benchmark datasets, and structured model behavior tests. Serve as the Responsible AI data science partner for assigned AI delivery teams, guiding the integration of RAI metrics, guardrails, and evaluation practices. Translate research findings and experimental methods into scalable, platform-ready evaluation capabilities. Collaborate with AI/ML engineers and QA analysts to align evaluation logic with testing pipelines and deployment workflows. Support the creation of model cards, evaluation documentation, and transparency artifacts required for governance and review. Provide Responsible AI consultation to product, engineering, risk, legal, and governance stakeholders. Mentor junior and mid-level data scientists on evaluation design, experimental rigor, and Responsible AI practices. What you will bring: Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field, or equivalent experience. 6+ years of professional data science experience. Demonstrated experience developing or evaluating AI/ML systems in production or pre-production environments. Strong grounding in experimental design, statistical analysis, and model evaluation methodology. Experience collaborating with engineering and product teams in an agile, iterative delivery environment. Proficiency in Python and SQL for data analysis and evaluation workflows. Experience working with modern cloud platforms such as AWS. Strong communication skills and ability to operate effectively in a matrixed team model. Technology Environment Cloud platforms such as AWS, including managed data and ML services. Data storage and retrieval technologies such as relational and NoSQL databases. Data analysis and visualization tools such as Python libraries, QuickSight, Tableau, or Power BI. Collaboration and delivery tools supporting agile development and cross-functional workflows. Security and Risk Awareness Contribute to Responsible AI and security-by-design practices by ensuring evaluation methods consider safety, misuse, and model risk. Partner with engineering, security, and governance teams to identify, document, and mitigate AI-related risks surfaced through evaluation activities. Support evolving security and risk requirements as they relate to AI system behavior, testing, and governance reviews. What Will Set You Apart Experience evaluating Generative AI or LLM-based systems. Hands-on work with explainability, fairness analysis, hallucination detection, or robustness testing techniques. Familiarity with Responsible AI principles, governance frameworks, or model documentation practices. Experience translating research or experimental methods into repeatable, production-aligned workflows. This is not intended to be an exhaustive list of all duties, responsibilities and qualifications of the job. The employer has the right to revise this at any time. You will be evaluated in part based on your performance of the responsibilities and/or tasks listed in this . You may be required perform other duties that are not included on this . The job description is not a contract for employment, and either you or the employer may terminate employment at any time, for any reason. What we offer you We offer an array of diverse and inclusive benefits regardless of where you are in your career. We believe that providing our employees with the means to lead healthy balanced lives results in the best possible work performance. Medical, dental, vision and life insurance Retirement savings - 401(k) plan with generous company matching contributions (up to 6%), financial advisory services, potential company discretionary contribution, and a broad investment lineup Tuition reimbursement up to $5,250/year Business-casual environment that includes the option to wear jeans Generous paid time off upon hire - including a paid time off program plus ten paid company holidays and three floating holidays each calendar year Paid volunteer time - 16 hours per calendar year Leave of absence programs - including paid parental leave, paid short- and long-term disability, and Family and Medical Leave (FMLA) Business Resource Groups (BRGs) - BRGs facilitate inclusion and collaboration across our business internally and throughout the communities where we live, work and play. BRGs are open to all. Base Salary Range $105,700.00 - $149,275.00 The salary range above shows the typical minimum to maximum base salary range for this position in the location listed. Non-sales positions have the opportunity to participate in a bonus program. Sales positions are eligible for sales incentives, and in some instances a bonus plan, whereby total compensation may far exceed base salary depending on individual performance. Actual compensation offered may vary from posted hiring range based upon geographic location, work experience, education, licensure requirements and/or skill level and will be finalized at the time of offer. Equal opportunity employer • Drug-free workplace We are an equal opportunity employer with a commitment to diversity. All individuals, regardless of personal characteristics, are encouraged to apply. All qualified applicants will receive consideration for employment without regard to age (40 and over), race, color, national origin, ancestry, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, religion, physical or mental disability, military or veteran status, genetic information, or any other status protected by applicable state or local law. ***For remote and hybrid positions you will be required to provide reliable high-speed internet with a wired connection as well as a place in your home to work with limited disruption. You must have reliable connectivity from an internet service provider that is fiber, cable or DSL internet. Other necessary computer equipment, will be provided. You may be required to work in the office if you do not have an adequate home work environment and the required internet connection.*** Job Posting End Date at 12:01 am on: 01-24-2026 Want the latest money news and views shaping how we live, work and play? Sign up for Empower's free newsletter and check out The Currency.

THE FUND: Norwest Venture Partners is a venture capital and growth equity firm with $15.5 billion under management, 150 employees worldwide, and a roster of investments in more than 650 companies over its 60-year history. We engage all stages of company building - from seed to late-stage venture, to growth equity investments- in the healthcare, technology, and consumer industries. Headquartered in Menlo Park, CA, Norwest also has offices in San Francisco, Mumbai and Tel Aviv. We work collaboratively with management teams to help companies achieve their full potential. The firm has a long track record of top quartile returns and has completed over 600 investments across venture capital and growth equity. Our Data Science team is an integral part of Norwest and works on numerous projects pre- and post-investment. The team leverages both public and proprietary data to help identify new investment opportunities, support due diligence, and optimize performance of portfolio companies. This team also designs and implements software and tools to drive internal processes. What we do relies on conducting exploratory analysis and research, as well as collaborating with the broader NVP team to implement key insights. We deeply understand that data is only valuable when it's used to drive real decisions and we are looking for a Senior Data Scientist to play a key role in partnering cross-functionally to produce material impact by bringing data science and analytics into every stage of the investment process. If you have interest in learning more, please reach out to ****************. Norwest Venture Partners is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Our vision for the future is based on the idea that transforming financial lives starts by giving our people the freedom to transform their own. We have a flexible work environment, and fluid career paths. We not only encourage but celebrate internal mobility. We also recognize the importance of purpose, well-being, and work-life balance. Within Empower and our communities, we work hard to create a welcoming and inclusive environment, and our associates dedicate thousands of hours to volunteering for causes that matter most to them. Chart your own path and grow your career while helping more customers achieve financial freedom. Empower Yourself. ***Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time, including CPT/OPT.*** The Senior Data Scientist of Responsible AI serves as a senior individual contributor within Empower's Responsible AI (RAI) team. This role embeds directly with multiple AI delivery teams as a matrixed partner, ensuring AI and GenAI systems are measurable, transparent, safe, and aligned with Responsible AI principles. The position focuses on evaluation methodology, model behavior analysis, and operationalizing Responsible AI practices in collaboration with engineering, QA, security, and governance partners. What you will do: Lead evaluation and validation of AI and GenAI systems, including assessment of hallucination, fairness, robustness, explainability, and other model behavior risks. Design and implement repeatable evaluation workflows, benchmark datasets, and structured model behavior tests. Serve as the Responsible AI data science partner for assigned AI delivery teams, guiding the integration of RAI metrics, guardrails, and evaluation practices. Translate research findings and experimental methods into scalable, platform-ready evaluation capabilities. Collaborate with AI/ML engineers and QA analysts to align evaluation logic with testing pipelines and deployment workflows. Support the creation of model cards, evaluation documentation, and transparency artifacts required for governance and review. Provide Responsible AI consultation to product, engineering, risk, legal, and governance stakeholders. Mentor junior and mid-level data scientists on evaluation design, experimental rigor, and Responsible AI practices. What you will bring: Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field, or equivalent experience. 6+ years of professional data science experience. Demonstrated experience developing or evaluating AI/ML systems in production or pre-production environments. Strong grounding in experimental design, statistical analysis, and model evaluation methodology. Experience collaborating with engineering and product teams in an agile, iterative delivery environment. Proficiency in Python and SQL for data analysis and evaluation workflows. Experience working with modern cloud platforms such as AWS. Strong communication skills and ability to operate effectively in a matrixed team model. Technology Environment Cloud platforms such as AWS, including managed data and ML services. Data storage and retrieval technologies such as relational and NoSQL databases. Data analysis and visualization tools such as Python libraries, QuickSight, Tableau, or Power BI. Collaboration and delivery tools supporting agile development and cross-functional workflows. Security and Risk Awareness Contribute to Responsible AI and security-by-design practices by ensuring evaluation methods consider safety, misuse, and model risk. Partner with engineering, security, and governance teams to identify, document, and mitigate AI-related risks surfaced through evaluation activities. Support evolving security and risk requirements as they relate to AI system behavior, testing, and governance reviews. What Will Set You Apart Experience evaluating Generative AI or LLM-based systems. Hands-on work with explainability, fairness analysis, hallucination detection, or robustness testing techniques. Familiarity with Responsible AI principles, governance frameworks, or model documentation practices. Experience translating research or experimental methods into repeatable, production-aligned workflows. This is not intended to be an exhaustive list of all duties, responsibilities and qualifications of the job. The employer has the right to revise this at any time. You will be evaluated in part based on your performance of the responsibilities and/or tasks listed in this . You may be required perform other duties that are not included on this . The job description is not a contract for employment, and either you or the employer may terminate employment at any time, for any reason. What we offer you We offer an array of diverse and inclusive benefits regardless of where you are in your career. We believe that providing our employees with the means to lead healthy balanced lives results in the best possible work performance. Medical, dental, vision and life insurance Retirement savings - 401(k) plan with generous company matching contributions (up to 6%), financial advisory services, potential company discretionary contribution, and a broad investment lineup Tuition reimbursement up to $5,250/year Business-casual environment that includes the option to wear jeans Generous paid time off upon hire - including a paid time off program plus ten paid company holidays and three floating holidays each calendar year Paid volunteer time - 16 hours per calendar year Leave of absence programs - including paid parental leave, paid short- and long-term disability, and Family and Medical Leave (FMLA) Business Resource Groups (BRGs) - BRGs facilitate inclusion and collaboration across our business internally and throughout the communities where we live, work and play. BRGs are open to all. Base Salary Range $105,700.00 - $149,275.00 The salary range above shows the typical minimum to maximum base salary range for this position in the location listed. Non-sales positions have the opportunity to participate in a bonus program. Sales positions are eligible for sales incentives, and in some instances a bonus plan, whereby total compensation may far exceed base salary depending on individual performance. Actual compensation offered may vary from posted hiring range based upon geographic location, work experience, education, licensure requirements and/or skill level and will be finalized at the time of offer. Equal opportunity employer • Drug-free workplace We are an equal opportunity employer with a commitment to diversity. All individuals, regardless of personal characteristics, are encouraged to apply. All qualified applicants will receive consideration for employment without regard to age (40 and over), race, color, national origin, ancestry, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, religion, physical or mental disability, military or veteran status, genetic information, or any other status protected by applicable state or local law. ***For remote and hybrid positions you will be required to provide reliable high-speed internet with a wired connection as well as a place in your home to work with limited disruption. You must have reliable connectivity from an internet service provider that is fiber, cable or DSL internet. Other necessary computer equipment, will be provided. You may be required to work in the office if you do not have an adequate home work environment and the required internet connection.*** Job Posting End Date at 12:01 am on: 01-24-2026 Want the latest money news and views shaping how we live, work and play? Sign up for Empower's free newsletter and check out The Currency.

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Senior Data Scientist, Sustainable Technology Job Overview: As the Senior Data Engineer / Scientist for Mastercard's Sustainable Technology, you will be the driving force behind the development and execution of cutting-edge data strategies and data environment frameworks. Your expertise will ensure the effective utilization of data, enabling the delivery of dependable Data & Analytics Services. You will collaborate with cross-functional teams and establish data-related best practices in alignment with Mastercard standards. Responsibilities: * Design, develop, and maintain new data capabilities and infrastructure for Mastercard's Sustainable Technology Internal Data Lake. * Create new data pipelines, data transfers, and compliance-oriented infrastructure to facilitate seamless data utilization within on-premise/cloud environments. * Identify existing data capability and infrastructure gaps or opportunities within and across initiatives and provide subject matter expertise in support of remediation. * Collaborate with technical teams and business stakeholders to understand data requirements and translate them into technical solutions. * Work with large datasets, ensuring data quality, accuracy, and performance. * Implement data transformation, integration, and validation processes to support analytics/BI and reporting needs. * Optimize and fine-tune data pipelines for improved speed, reliability, and efficiency. * Implement best practices for data storage, retrieval, and archival to ensure data accessibility and security. * Troubleshoot and resolve data-related issues, collaborating with the team to identify root causes. * Document data processes, data lineage, and technical specifications for future reference. * Participate in code reviews, ensuring adherence to coding standards and best practices. * Collaborate with DevOps teams to automate deployment and monitoring of data pipelines. * Additional tasks as required. All About You Education: * Bachelor's degree in Computer Science, Engineering, Data Science, or a related field. Knowledge / Experience: * Proven experience as a Data Engineer / Scientist or similar role. * Deep understanding of data visualization, statistics, hypothesis testing, business intelligence tools, SQL, data cleaning, and data lifecycle management. * Proficiency in designing and implementing data tools, technologies, and processes. * Expertise in data engineering, ETL/ELT processes, data warehousing, and data modeling. * Strong command of data integration techniques and data quality management. * Hands-on experience with data technologies such as Hadoop, Spark, Python, SQL, Alteryx, NiFi, SSIS, etc. * Familiarity with cloud platforms and services, such as AWS, GCP, or Azure. * Excellent problem-solving skills and ability to provide innovative data solutions. * Strong leadership skills with a proven track record of guiding and mentoring a team. * 3+ years of experience in related field. * 3+ years of experience in delivering secure solutions in Financial Services Sector is preferred. * Broad understanding of Software Engineering Concepts and Methodologies is required. * Demonstrate MC Core Competencies. Skills/ Abilities: * Must be high-energy, detail-oriented, proactive and have the ability to function under pressure in an independent environment. * Experience building data pipelines through Spark with Scala/Python/Java on Hadoop or Object storage. * Expertise in Data Engineering and Data Analysis: implementing multiple end-to-end DW projects in Big Data Hadoop environment. * Experience working with databases like MS SQL Server, Oracle, and strong SQL knowledge. * Experience in BI tools like Tableau, Power BI. * Experience with Alteryx, SSIS, NiFi, Spark, Cloudera Machine Learning, S3 Protocol, PowerBI, NoSQL data structures, Splunk, Databricks, (added advantage) * Experience automating data flow processes in a Big Data environment. * Pulling in data from various monitoring platforms to aggregate and enable data science work to support ESG (ie sustainable impact) * Must provide the necessary skills to have a high degree of initiative and self-motivation to drive results. * Possesses strong communication skills -- both verbal and written - and strong relationship, collaborative skills and organizational skills. * Willingness and ability to learn and take on challenging opportunities and to work as a member of matrix based diverse and geographically distributed project team. Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: * Abide by Mastercard's security policies and practices; * Ensure the confidentiality and integrity of the information being accessed; * Report any suspected information security violation or breach, and * Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines. In line with Mastercard's total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more. Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty leave; and on-site fitness facilities in some locations. Pay Ranges O'Fallon, Missouri: $115,000 - $184,000 USD

**Our Purpose** _Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential._ **Title and Summary** Senior Data Scientist, Sustainable Technology Job Overview: As the Senior Data Engineer / Scientist for Mastercard's Sustainable Technology, you will be the driving force behind the development and execution of cutting-edge data strategies and data environment frameworks. Your expertise will ensure the effective utilization of data, enabling the delivery of dependable Data & Analytics Services. You will collaborate with cross-functional teams and establish data-related best practices in alignment with Mastercard standards. Responsibilities: - Design, develop, and maintain new data capabilities and infrastructure for Mastercard's Sustainable Technology Internal Data Lake. - Create new data pipelines, data transfers, and compliance-oriented infrastructure to facilitate seamless data utilization within on-premise/cloud environments. - Identify existing data capability and infrastructure gaps or opportunities within and across initiatives and provide subject matter expertise in support of remediation. - Collaborate with technical teams and business stakeholders to understand data requirements and translate them into technical solutions. - Work with large datasets, ensuring data quality, accuracy, and performance. - Implement data transformation, integration, and validation processes to support analytics/BI and reporting needs. - Optimize and fine-tune data pipelines for improved speed, reliability, and efficiency. - Implement best practices for data storage, retrieval, and archival to ensure data accessibility and security. - Troubleshoot and resolve data-related issues, collaborating with the team to identify root causes. - Document data processes, data lineage, and technical specifications for future reference. - Participate in code reviews, ensuring adherence to coding standards and best practices. - Collaborate with DevOps teams to automate deployment and monitoring of data pipelines. - Additional tasks as required. All About You Education: - Bachelor's degree in Computer Science, Engineering, Data Science, or a related field. Knowledge / Experience: - Proven experience as a Data Engineer / Scientist or similar role. - Deep understanding of data visualization, statistics, hypothesis testing, business intelligence tools, SQL, data cleaning, and data lifecycle management. - Proficiency in designing and implementing data tools, technologies, and processes. - Expertise in data engineering, ETL/ELT processes, data warehousing, and data modeling. - Strong command of data integration techniques and data quality management. - Hands-on experience with data technologies such as Hadoop, Spark, Python, SQL, Alteryx, NiFi, SSIS, etc. - Familiarity with cloud platforms and services, such as AWS, GCP, or Azure. - Excellent problem-solving skills and ability to provide innovative data solutions. - Strong leadership skills with a proven track record of guiding and mentoring a team. - 3+ years of experience in related field. - 3+ years of experience in delivering secure solutions in Financial Services Sector is preferred. - Broad understanding of Software Engineering Concepts and Methodologies is required. - Demonstrate MC Core Competencies. Skills/ Abilities: - Must be high-energy, detail-oriented, proactive and have the ability to function under pressure in an independent environment. - Experience building data pipelines through Spark with Scala/Python/Java on Hadoop or Object storage. - Expertise in Data Engineering and Data Analysis: implementing multiple end-to-end DW projects in Big Data Hadoop environment. - Experience working with databases like MS SQL Server, Oracle, and strong SQL knowledge. - Experience in BI tools like Tableau, Power BI. - Experience with Alteryx, SSIS, NiFi, Spark, Cloudera Machine Learning, S3 Protocol, PowerBI, NoSQL data structures, Splunk, Databricks, (added advantage) - Experience automating data flow processes in a Big Data environment. - Pulling in data from various monitoring platforms to aggregate and enable data science work to support ESG (ie sustainable impact) - Must provide the necessary skills to have a high degree of initiative and self-motivation to drive results. - Possesses strong communication skills -- both verbal and written - and strong relationship, collaborative skills and organizational skills. - Willingness and ability to learn and take on challenging opportunities and to work as a member of matrix based diverse and geographically distributed project team. Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly. **Corporate Security Responsibility** All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: + Abide by Mastercard's security policies and practices; + Ensure the confidentiality and integrity of the information being accessed; + Report any suspected information security violation or breach, and + Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines. In line with Mastercard's total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more. Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty leave; and on-site fitness facilities in some locations. **Pay Ranges** O'Fallon, Missouri: $115,000 - $184,000 USD

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Senior Data Scientist, Sustainable TechnologyJob Overview: As the Senior Data Engineer / Scientist for Mastercard's Sustainable Technology, you will be the driving force behind the development and execution of cutting-edge data strategies and data environment frameworks. Your expertise will ensure the effective utilization of data, enabling the delivery of dependable Data & Analytics Services. You will collaborate with cross-functional teams and establish data-related best practices in alignment with Mastercard standards. Responsibilities: • Design, develop, and maintain new data capabilities and infrastructure for Mastercard's Sustainable Technology Internal Data Lake. • Create new data pipelines, data transfers, and compliance-oriented infrastructure to facilitate seamless data utilization within on-premise/cloud environments. • Identify existing data capability and infrastructure gaps or opportunities within and across initiatives and provide subject matter expertise in support of remediation. • Collaborate with technical teams and business stakeholders to understand data requirements and translate them into technical solutions. • Work with large datasets, ensuring data quality, accuracy, and performance. • Implement data transformation, integration, and validation processes to support analytics/BI and reporting needs. • Optimize and fine-tune data pipelines for improved speed, reliability, and efficiency. • Implement best practices for data storage, retrieval, and archival to ensure data accessibility and security. • Troubleshoot and resolve data-related issues, collaborating with the team to identify root causes. • Document data processes, data lineage, and technical specifications for future reference. • Participate in code reviews, ensuring adherence to coding standards and best practices. • Collaborate with DevOps teams to automate deployment and monitoring of data pipelines. • Additional tasks as required. All About You Education: • Bachelor's degree in Computer Science, Engineering, Data Science, or a related field. Knowledge / Experience: • Proven experience as a Data Engineer / Scientist or similar role. • Deep understanding of data visualization, statistics, hypothesis testing, business intelligence tools, SQL, data cleaning, and data lifecycle management. • Proficiency in designing and implementing data tools, technologies, and processes. • Expertise in data engineering, ETL/ELT processes, data warehousing, and data modeling. • Strong command of data integration techniques and data quality management. • Hands-on experience with data technologies such as Hadoop, Spark, Python, SQL, Alteryx, NiFi, SSIS, etc. • Familiarity with cloud platforms and services, such as AWS, GCP, or Azure. • Excellent problem-solving skills and ability to provide innovative data solutions. • Strong leadership skills with a proven track record of guiding and mentoring a team. • 3+ years of experience in related field. • 3+ years of experience in delivering secure solutions in Financial Services Sector is preferred. • Broad understanding of Software Engineering Concepts and Methodologies is required. • Demonstrate MC Core Competencies. Skills/ Abilities: • Must be high-energy, detail-oriented, proactive and have the ability to function under pressure in an independent environment. • Experience building data pipelines through Spark with Scala/Python/Java on Hadoop or Object storage. • Expertise in Data Engineering and Data Analysis: implementing multiple end-to-end DW projects in Big Data Hadoop environment. • Experience working with databases like MS SQL Server, Oracle, and strong SQL knowledge. • Experience in BI tools like Tableau, Power BI. • Experience with Alteryx, SSIS, NiFi, Spark, Cloudera Machine Learning, S3 Protocol, PowerBI, NoSQL data structures, Splunk, Databricks, (added advantage) • Experience automating data flow processes in a Big Data environment. • Pulling in data from various monitoring platforms to aggregate and enable data science work to support ESG (ie sustainable impact) • Must provide the necessary skills to have a high degree of initiative and self-motivation to drive results. • Possesses strong communication skills -- both verbal and written - and strong relationship, collaborative skills and organizational skills. • Willingness and ability to learn and take on challenging opportunities and to work as a member of matrix based diverse and geographically distributed project team.Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard's security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines. In line with Mastercard's total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more. Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty leave; and on-site fitness facilities in some locations. Pay Ranges O'Fallon, Missouri: $115,000 - $184,000 USD

Company Information: Linqx is an industry-leading provider of end-to-end digital solutions and analytics for the oil and gas sector, leveraging advanced data analytics to optimize engineering and operations​. Its cloud-based platforms deliver AI-driven insights that enhance reservoir performance and streamline workflows​​. Driven by a mission of data-driven innovation​, Linqx combines cutting-edge technology with oilfield expertise to deliver transformative results​. Position Summary: Seeking an experienced and highly skilled Data Scientist to join our dynamic team. The ideal candidate will possess a strong foundation in data science, machine learning, and data engineering, with a particular focus on developing and deploying cutting-edge generative AI models. Incumbents will work closely with cross-functional teams to drive impactful data-driven decisions and innovations across the organization. Our dynamic approach to technology offers an exciting environment for this role that's focused on big data, machine learning, and advanced analytics. Key Roles / Responsibilities: Design, implement, and deploy advanced machine learning models and algorithms, particularly in Generative AI (e.g., GANs, transformers, diffusion models). Leverage deep learning frameworks (such as TensorFlow, PyTorch, or JAX) to build and train state-of-the-art models for natural language processing (NLP), computer vision (CV), and other generative tasks. Collaborate with engineering teams to ensure seamless integration of AI/ML solutions into production environments, optimizing for performance and scalability. Work with technology and business leaders to evolve data-driven vision, communication channels, and all supporting documentation Utilize advanced statistical techniques and data modeling methods to analyze large, complex datasets and provide actionable insights. Develop data pipelines for cleaning, processing, and transforming raw data into structured formats suitable for machine learning applications (i.e. familiarity with Lakehouse deployment/governance on Medallion architecture). Design, build, and maintain efficient and scalable data architectures and data storage solutions. Work on end-to-end machine learning workflows, including data preprocessing, feature engineering, model training, evaluation, and deployment. Continuously evaluate and optimize model performance and contribute to improving the overall AI/ML infrastructure and processes. Mentor and/or manage junior data scientists and engineers, fostering a culture of collaboration and continuous learning. Stay updated on the latest advancements in AI/ML research and apply innovative techniques to solve business problems. Document and communicate findings and solutions clearly to both technical and non-technical stakeholders. Participate and potentially drive data-specific technology selection activities Required Education, Experience, and Qualifications: Master's or PhD in Computer Science, Data Science, Engineering, or a related field, with a focus on machine learning, AI, or data engineering. Proven expertise in Generative AI, including experience with techniques such as GANs, VAEs, transformers, RAGs, and other advanced AI and deep learning models. Strong proficiency in programming languages like Python, R, or Julia, and hands-on experience with AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.). Extensive experience with data engineering, including data wrangling, ETL processes, data storage, and real-time data processing. In-depth knowledge of machine learning algorithms, deep learning, and statistical modeling techniques. Familiarity with cloud platforms (AWS, GCP, or Azure) and distributed computing frameworks (e.g., Spark, Hadoop). Experience in designing and optimizing data architectures for both batch and real-time data flows. Proficient with database systems (SQL, NoSQL) and data query languages. Strong problem-solving, analytical, and critical-thinking skills with the ability to work independently or as part of a team. Excellent communication skills, with the ability to explain complex technical concepts to both technical and non-technical audiences. Preferred Skills: Knowledge of NLP and CV applications, including experience with large-scale pre-trained models like GPT, BERT, or DALL·E. Expertise in model deployment and monitoring in production environments (e.g., Docker, Kubernetes, MLflow). Experience with version control systems (e.g., Git) and software development best practices. Familiarity with DevOps practices and CI/CD pipelines for machine learning projects. Published research in top-tier conferences or journals related to AI/ML or Generative AI. Benefits: Competitive Compensation Package Medical + Dental + Vision Coverage 401K + Company Match Life Insurance + Long Term Disability Coverage - 100% Company Paid Health Savings Account (HSA) Gym Reimbursement Program Tuition Reimbursement Program Wellness Check Program - Insurance Premium Discounts EAP Resources Paid Holidays Paid Time Off (PTO) Working Conditions: Year-round on-site in-office expectation (standard 5-day work week) Working with globally distributed team members and partners Prolonged periods sitting at a desk and working on a computer. Must be able to lift 15 pounds at times. Positions self to install equipment, including under desks. Moves throughout the building to access files. Must be able to comprehend and follow written and oral instructions. Must be able to complete tasks even with frequent interruptions. Must be able to use discretion and independent judgment as needed. Must be able to speak clearly on the phone and to fellow workers. This job description should not be interpreted as an exhaustive list of responsibilities or as an employment agreement between the employer and the employee. The above statements are intended to describe the general nature and level of work being performed by employees assigned to this classification and are subject to change as the needs of the employer and requirements of the job change. Any essential functions of this position will be evaluated as necessary should an employee/applicant be unable to perform the functions or requirements due to a disability as defined by the Americans with Disabilities Act (ADA). Reasonable accommodation for the specific disability will be made for the employee/applicant when possible. I acknowledge that I have read and understand the description of this position and have had the opportunity to ask my supervisor about any points I did not understand. I hereby state that I can perform the essential functions of this position with or without reasonable accommodation.

Are you passionate about leveraging artificial intelligence and machine learning solutions to solve real-world problems? As a Data Science Senior Associate, you'll develop scalable tools that integrate Large Language Models, predictive models and generative AI solutions with the Consumer and Community Bank Anti Money Laundering (AML) and Know Your Customer (KYC) Product. **Job Responsibilities** : + Design, develop and deploy AI solutions (classical and generative AI) within the Control and Oversight Product suite of applications. + Build and maintain APIs to enable seamless integration of AIML models with business applications. + Use your programming skills in Python and design integrated solutions using the latest technology. + Ensure all solutions are well documented and aligned with firm wide standards for AIML solutions. + Analyze diverse data assets and sources to optimize business decisions, developing insights that lead to actionable recommendations for management. + Build and iterate on prototype solutions. + Develop robust, production-ready code for AIML models and analytical applications. + Partner with subject matter experts and help deliver solutions that optimize the data for AIML solutions. + Understand and apply knowledge of role-related risks, keeping abreast of current regulatory requirements and acting in the shareholder's best interest. Ensure alignment with Firm wide policies and standards governing AIML solutions. **Required qualifications, capabilities and skills** : + Degree in quantitative discipline (e.g., Computer Science, Mathematics, Operations Research, Data Science). + 5+ years' experience in creating predictive models, and generative AI solutions using LLM prompt engineering, Retrieval Augmented Generation (RAG). + Strong Proficiency in Python. + Hands-on experience with LLM APIs, Python libraries like Pandas, NumPy, scikit-learn, and others for data manipulation, modeling and analysis. + Proficiency with data table operations (SQL, etc.). + Experience designing, building and maintaining ETL data pipelines using tools such as SQL, Python, and Alteryx. + Demonstrated knowledge of data architecture that is ideal for generative AI solutions. + Experience with evaluation metrics for ML and generative AI, and with building monitoring dashboards. 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

JobID: 210680498 JobSchedule: Full time JobShift: Day : Bring your expertise to JPMorgan Chase. As part of Risk Management and Compliance, you are at the center of keeping JPMorgan Chase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks, and using your expert judgement to solve real-world challenges that impact our company, customers and communities. Our culture in Risk Management and Compliance is all about thinking outside the box, challenging the status quo and striving to be best-in-class. As a Senior Associate Data Scientist in the Chase-360 Payment Analytics team, you will leverage cross-LOB customer data to generate insights into the health of consumers and small businesses, inform and influence credit strategy across consumer and business banking lending products, and develop attributes to support credit models and strategy. You are a self-starter who thrives in a fast-paced, dynamic environment. You are intellectually curious, always asking "why" and "what if," and challenging assumptions to uncover deeper insights. You demonstrate learning agility, quickly mastering new concepts and technologies. You display confidence and aptitude to own and drive ambiguous problems to scalable solutions. Job Responsibilities * Utilize skills in data analysis, modeling, data engineering, and project management to initiate, develop, and complete advanced analytics projects. * Perform credit-focused analytics to identify, quantify, and monitor risks in consumers and small businesses, leveraging diverse, large internal data sources. * Translate complex data into clear, actionable insights that inform strategic decisions. * Deliver regular, time-critical, high-impact reports, dashboards, and presentations to Consumer and Community Banking (CCB) Risk leadership. * Conduct independent research on emerging risks relevant to consumers and small businesses, proactively addressing new challenges and opportunities. * Analyze external publications from peers and other data releases to continually deliver insights and perspectives tailored to the needs of CCB Risk leadership. * Communicate findings and recommendations effectively to business partners across Card, Auto, Home Lending, and Business Banking teams. * Stay up to date on industry trends, macroeconomic developments, technological advances, and best practices in risk analytics. Required qualifications, capabilities, and skills * Advanced degree in statistics, econometrics, or a related quantitative field, with 3+ years of Financial Services or quantitative experience; alternatively, BS degree with a minimum of 5 years relevant experience. * Strong background in Python and SQL. * Proficient in Microsoft Office suite of products. * Demonstrated analytical and problem-solving skills across conceptualization and execution of analytics oriented projects. * Ability to synthesize diverse information and develop actionable recommendation. * Ability to manage and prioritize competing activities and achieve tight timelines on complex deliverables. * Ability to communicate complex findings clearly in both in written format and verbally to technical and non-technical audiences. Preferred qualifications, capabilities, and skills * MS degree preferred

JobID: 210688363 JobSchedule: Full time JobShift: Day : Are you passionate about leveraging artificial intelligence and machine learning solutions to solve real-world problems? As a Data Science Senior Associate, you'll develop scalable tools that integrate Large Language Models, predictive models and generative AI solutions with the Consumer and Community Bank Anti Money Laundering (AML) and Know Your Customer (KYC) Product. Job Responsibilities: * Design, develop and deploy AI solutions (classical and generative AI) within the Control and Oversight Product suite of applications. * Build and maintain APIs to enable seamless integration of AIML models with business applications. * Use your programming skills in Python and design integrated solutions using the latest technology. * Ensure all solutions are well documented and aligned with firm wide standards for AIML solutions. * Analyze diverse data assets and sources to optimize business decisions, developing insights that lead to actionable recommendations for management. * Build and iterate on prototype solutions. * Develop robust, production-ready code for AIML models and analytical applications. * Partner with subject matter experts and help deliver solutions that optimize the data for AIML solutions. * Understand and apply knowledge of role-related risks, keeping abreast of current regulatory requirements and acting in the shareholder's best interest. Ensure alignment with Firm wide policies and standards governing AIML solutions. Required qualifications, capabilities and skills: * Degree in quantitative discipline (e.g., Computer Science, Mathematics, Operations Research, Data Science). * 5+ years' experience in creating predictive models, and generative AI solutions using LLM prompt engineering, Retrieval Augmented Generation (RAG). * Strong Proficiency in Python. * Hands-on experience with LLM APIs, Python libraries like Pandas, NumPy, scikit-learn, and others for data manipulation, modeling and analysis. * Proficiency with data table operations (SQL, etc.). * Experience designing, building and maintaining ETL data pipelines using tools such as SQL, Python, and Alteryx. * Demonstrated knowledge of data architecture that is ideal for generative AI solutions. * Experience with evaluation metrics for ML and generative AI, and with building monitoring dashboards.

JobID: 210694005 JobSchedule: Full time JobShift: : Join our Data Analytics Reporting Team (DART) to build modular agentic components and ship production-ready AI features. You'll leverage Python, AWS, and leading agentic frameworks to automate workflows, scale securely, and deliver measurable business outcomes. As a Data Scientist Associate Sr within the Data Analytics Reporting Team at JPMorganChase, you will design, build, and maintain modular components for agentic systems that automate and orchestrate workflows across business platforms. You will own workstreams and Jira stories, delivering high-quality, scalable Python code and features within larger AI/ML initiatives. You will containerize and deploy solutions to cloud environments using Docker and infrastructure as code with Terraform, and collaborate closely with cross-functional partners to integrate agentic capabilities into existing systems. You will stay current on agentic frameworks such as LangGraph, Google ADK, and AutoGen, as well as LLMs and GenAI techniques including retrieval-augmented generation, applying them pragmatically to solve business problems. You will document designs, communicate progress and technical concepts to stakeholders, and uphold code quality, security, and compliance through testing and peer reviews. Exposure to Kubernetes and EKS, MLOps tooling, and core AWS services (S3, RDS, CloudFormation) will help you drive resilient, production-grade solutions aligned to business goals Job Responsibilities * Build, test, and maintain modular components for agentic systems, enabling intelligent automation and orchestration within business platforms. * Take ownership of individual workstreams and Jira stories, delivering high-quality code and features as part of larger AI/ML initiatives. * Work closely with team members to integrate agentic capabilities into existing systems and support solution delivery. * Containerize and deploy agentic system components on cloud platforms, following established DevOps and infrastructure-as-code practices. * Stay current with advancements in agentic frameworks (e.g., LangGraph, Google ADK, AutoGen), LLMs, and GenAI, and apply these technologies to assigned tasks and features. * Document design decisions, implementation details, and results; communicate progress and technical concepts to team members and stakeholders. * Ensure code quality, security, and compliance through testing, peer reviews, and adherence to best practices Required Qualifications, Capabilities, and Skills * Bachelor's degree with 3+ years' experience or Master's degree with 1+ year experience in a quantitative field (e.g., Computer Science, Data Science, Applied Mathematics, Statistics, Engineering). * Hands-on experience developing and delivering agentic system components or autonomous AI features in production environments. * Strong Python programming skills, with a focus on modular, scalable, and maintainable code. * Experience with AWS cloud platform. * Familiarity with agentic frameworks (LangGraph, Google ADK, AutoGen) and integrating AI capabilities into business processes. * Ability to work collaboratively in agile, cross-functional teams and deliver on assigned workstreams. * Excellent problem-solving, communication, and documentation skills. * Exposure to agentic system design patterns, orchestration, and workflow automation. Preferred Qualifications, Capabilities, and Skills * Experience with Large Language Models (LLMs), GenAI, and retrieval-augmented generation (RAG). * Experience with distributed computing, cloud orchestration (Kubernetes, EKS), and MLOps tools. * Financial services industry experience. * Ability to design and evaluate autonomous system features aligned with business goals. * Experience with additional cloud services (EKS, S3, RDS, CloudFormation). * Experience with containerization (Docker), and infrastructure as code (Terraform). This role is 5 days a week in office full time. This role is not hybrid nor remote. This role is not eligible for any visa sponsorship or transfer support at this time.

JobID: 210692669 JobSchedule: Full time JobShift: : Join an award winning Home Lending Optimization & Solutions team, you'll join an organization that applies ML/AI products & solutions across Sales, Operations, & Marketing. Your ability to understand business requirements and translate them to a proposed solution will be a key to your success. You'll utilize strong communication skills to effectively operate in direct collaboration with key stakeholders across functions and lines-of-business. Job responsibilities * Understand and translate business needs into data models supporting long-term solutions * Convert data into actionable insights * Develop presentations to summarize and communicate key messages to senior management, sponsors, and colleagues * Leverage a variety of statistical and mathematical techniques and algorithms to analyze a variety of datasets to solve complex business problems Required qualifications, capabilities, and skills * 3+ years' experience working in an analytical role * BS degree in a related field, such as Data Science, Engineering, Applied Mathematics, Statistics, or similar STEM discipline * Experience using statistical programming languages (Python) to manipulate data, draw insights, and build prototype solutions * Strong storytelling capabilities * Adept at explaining and converting complex concepts into digestible information to be consumed by audiences at various levels of the business Preferred qualifications, capabilities, and skills * Master's Degree * Functional industry experience in finance, operations, sales, marketing, or credit/risk * Knowledge of the mortgage industry

Provide independent data science, machine learning, and analytical insights using member, financial, and organizational data to support mission critical decision making for various areas of the organization. Understand business needs and identify opportunities for new products, services, and process optimization to meet business objectives through the use of cutting-edge data science. Create descriptive, predictive, and prescriptive models and insights to drive impact across the organization. Conduct work assignments of increasing complexity, under moderate supervision with some latitude for independent judgment. Intermediate professional within field; requires moderate skill set and proficiency in discipline. 3-5 years of experience in exploratory data analysis Basic understanding of business and operating environment Statistics Programming, data modeling, simulation, and advanced mathematics SQL, R, Python, Hadoop, SAS, SPSS, Scala, AWS Model lifecycle execution Technical writing Data storytelling and technical presentation skills Research Skills Interpersonal Skills Working 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.) Sound Judgment Problem Solving (Responds as problems and issues are identified) Bachelor's Degree in Data Science, Statistics, Mathematics, Computers Science, Engineering, or degrees in similar quantitative fields Desired Qualification(s) Master's/PhD Degree in Data Science, Statistics, Mathematics, Computers Science, or Engineering 4-5 years of experience in exploratory data analysis Hours: Monday - Friday, 8:00AM - 4:30PM Location: 820 Follin Lane, Vienna, VA 22180 Design, develop, and evaluate moderately complex predictive models and advanced algorithms Identifies meaningful insights from large data and metadata sources Test hypotheses/models, analyze, and interpret results Exercise sound judgment and discretion within defined procedures and practices Develop and code moderately complex software programs, algorithms, and automated processes Use modeling and trend analysis to analyze data and provide insights Develop understanding of best practices and ethical AI Transform data into charts, tables, or format that aids effective decision making Build working relationships with team members and subject matter experts Lead small projects and initiatives Utilize effective written and verbal communication to document and present findings of analyses to a diverse audience of stakeholders