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Capital One Data Scientist Jobs in Baton Rouge, LA

Varsity Tutors

Data Science Tutor

Baton Rouge, LA · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... Ways To Connect With Students * 1-on-1 Online Tutoring - Provide personalized instruction to ...

GHD Group

Environmental Scientist

Baton Rouge, LA · On-site

$64K - $85K/yr

There's no pledge more important than the one we make to look after our environment, and we're ... Data Collection and Analysis: Conduct research using primary data sources, and select information ...

GHD

Environmental Scientist

Baton Rouge, LA · On-site

$64K - $85K/yr

There's no pledge more important than the one we make to look after our environment, and we're ... Data Collection and Analysis: Conduct research using primary data sources, and select information ...

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All JobsCapital One Data Scientist JobsCapital One Data Scientist Jobs in Baton Rouge, LA

Capital One Data Scientist information

See Baton Rouge, LA salary details

$29.4K

$96.3K

$154.2K

How much do capital one data scientist jobs pay per year?

As of Aug 29, 2026, the average yearly pay for capital one data scientist in Baton Rouge, LA is $96,294.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,300.00 and $106,700.00 per year, depending on experience, location, and employer.

What does a data scientist at Capital One do?

A Data Scientist at Capital One leverages data analysis, machine learning, and statistical modeling to solve business problems and drive innovation in financial products and services. They work with large datasets to uncover insights, build predictive models, and help teams make data-driven decisions. Projects often include fraud detection, credit risk modeling, and customer personalization. Collaboration with engineers, analysts, and business stakeholders is common to ensure solutions are scalable and practical.

How does a data scientist at Capital One typically collaborate with cross-functional teams to drive business outcomes?

Data Scientists at Capital One work closely with cross-functional teams such as product managers, engineers, and business analysts to identify opportunities for leveraging data-driven solutions. They participate in regular meetings to define project goals, share insights from data analysis, and translate complex findings into actionable recommendations. Collaboration is often facilitated through agile methodologies, ensuring that projects align with both technical feasibility and business objectives. This teamwork fosters a dynamic environment where data science directly impacts strategic decisions and customer experiences.

What are the key skills and qualifications needed to thrive as a Capital One data scientist, and why are they important?

To thrive as a Capital One Data Scientist, you need strong analytical skills, proficiency in statistics and machine learning, and typically a degree in a quantitative field such as computer science, math, or engineering. Experience with programming languages like Python or R, data visualization tools, and familiarity with cloud platforms and big data systems are crucial. Excellent problem-solving abilities, communication skills, and a collaborative mindset help you translate complex data insights into actionable business solutions. These skills and qualities are vital for driving data-driven decision-making and delivering impactful results within Capital One's fast-paced, innovative environment.

What are popular job titles related to Capital One Data Scientist jobs in Baton Rouge, LA?

For Capital One Data Scientist jobs in Baton Rouge, LA, the most frequently searched job titles are:

What job categories do people searching Capital One Data Scientist jobs in Baton Rouge, LA look for?

The top searched job categories for Capital One Data Scientist jobs in Baton Rouge, LA are:

Capital One Data Scientist jobs near you
Infographic showing various Capital One Data Scientist job openings in Baton Rouge, LA as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, and 3% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $96,294 per year, or $46.3 per hour.

VP, Data Scientist, Enterprise AI, Innovation Group

Central, LA • On-site

UOB
See more jobs at UOBexternal

$120 - $150/hr

Other

Posted 23 days ago

Job description

## VP, Data Scientist, Enterprise AI, Innovation GroupApplyremote type: Onsitelocations: Central Region (City Area)time type: Full timeposted on: Posted 8 Days Agojob requisition id: JR88406Company: 1011 United Overseas Bank Ltd **About UOB**United Overseas Bank Limited (UOB) is a leading bank in Asia with a global network of more than 500 branches and offices in 19 countries and territories in Asia Pacific, Europe and North America. In Asia, we operate through our head office in Singapore and banking subsidiaries in China, Indonesia, Malaysia and Thailand, as well as branches and offices. Our history spans more than 80 years. Over this time, we have been guided by our values – Honorable, Enterprising, United and Committed. This means we always strive to do what is right, build for the future, work as one team and pursue long-term success. It is how we work, consistently, be it towards the company, our colleagues or our customers.**Job Description****Job Responsibilities:**The incumbent will be a key member of the Enterprise AI team, partnering with stakeholders to design, develop, and deploy AI and GenAI solutions across business and support units, delivering impactful outcomes.Your **main responsibilities** are to:* Collaborate with data scientists, data engineers, technology and business/support units, to evaluate, solution and deliver AI and GenAI driven business use cases.* Develop and successfully execute plans aligned with strategic project and business objectives.* Develop performant AI and Gen AI capabilities through thoughtful research and experimentation.* Develop and deploy AI and Gen AI applications with agile prototyping.* Integrate AI and Gen AI capabilities and applications into the bank's ecosystem.* Stay abreast of fast emerging AI and Gen AI technological advancements, industry best practices, architecture, software resources and paradigms.* Engage and manage stakeholder interactions and expectations.* Provide deep expertise and advisory on AI and Gen AI to diverse stakeholders.* Contribute to AI and Gen AI related validation, guardrail and benchmarking exercises.**Qualifications:*** Min Postgraduate degree in Statistics, Mathematics, Engineering, Computer Science or a related field, with ability to reason quantitatively from first principles. GenAI related thesis/publications highly preferred.* Achieved consistent success in framing rigorous and data driven approaches to solve highly complex business use cases or academic problems.* Min 8 years of advanced data science working or research experience, preferably in banking / financial services / quant / consulting industry.* Self-motivated team player, able to ideate innovative solutions and work independently.* Proven record in developing AI applications using transformer models, boosting models, and other advanced techniques.* Highly skilled and successful in end-to-end LLM deployment, with 1.5 years full-time experience. Demonstrable achievements is a must.* Demonstrable expertise and experience in adjacent topics such as Agentic AI /Visual /Audio /Multimodal generation highly preferred.* Python programming and large data handling abilities. Highly skilled with common data science and LLM packages such as Pytorch and LangChain.* Experienced in general end-to-end data science solution delivery and assorted tools.* Ability to communicate analytic findings clearly and convincingly to business.* Skillful in agile project management practices.* Experience with data visualization packages and/or tools a plus.## **Additional Requirements**Be a Part of the UOB FamilyUOB is an equal opportunity employer. UOB does not discriminate on the basis of a candidate's age, race, gender, color, religion, sexual orientation, physical or mental disability, or other non-merit factors. All employment decisions at UOB are based on business needs, job requirements and qualifications. If you require any assistance or accommodations to be made for the recruitment process, please inform us when you submit your online application.Apply now and make a Difference #J-18808-Ljbffr

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