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Data Scientist Jobs in Baton Rouge, LA (NOW HIRING)

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Data Scientist information

See Baton Rouge, LA salary details

$29.4K

$96.3K

$154.2K

How much do data scientist jobs pay per year?

As of Aug 14, 2026, the average yearly pay for 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 are the key skills and qualifications needed to thrive as a data scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks, data visualization tools, and big data platforms like TensorFlow, Tableau, and Hadoop, as well as certifications in data science, are highly valued. Excellent problem-solving skills, curiosity, and the ability to communicate complex findings clearly set outstanding data scientists apart. These skills and qualities are crucial for extracting actionable insights from data, driving business decisions, and collaborating effectively with stakeholders.

What do data scientists do?

Data scientists collect, confirm, and interpret data to determine useful information for their employer. They help organizations identify patterns and trends in their data to provide information about lucrative opportunities, necessary improvements, and potential innovations. The information data scientists get from the records they gather helps businesses make major decisions in critical areas, such as product development, sales and marketing techniques, and client retention. Data scientists are highly educated; the majority of them have at least a master's degrees, and many have doctorates. Data scientists are valuable members of organizations in many different industries, including pharmaceuticals, manufacturing, and banking.

Is a data scientist job still in demand?

Yes, data scientist roles remain in high demand across various industries due to the increasing reliance on data-driven decision making. Skills in machine learning, statistical analysis, and programming languages like Python or R are highly valued, and employment opportunities continue to grow as organizations seek to leverage big data for competitive advantage.

Is data science a math heavy field?

Data scientists rely heavily on mathematics, including statistics, linear algebra, and calculus, to analyze data and develop models. Strong math skills are essential for tasks like machine learning, data analysis, and algorithm development, often complemented by programming in languages such as Python or R. However, practical skills in data manipulation and domain knowledge are also important for success in the field.

What is the difference between Data Scientist vs Data Analyst?

AspectData Scientist
Required CredentialsDegree in Computer Science, Statistics, or related field; often requires advanced degrees
Work EnvironmentResearch and development, predictive modeling, machine learning projects
Employer & Industry UsageTech companies, finance, healthcare, consulting firms
Common Search & ComparisonOften compared due to overlapping skills in data analysis and modeling

Data Scientists focus on building predictive models, advanced analytics, and machine learning, often requiring higher-level technical skills and education. Data Analysts primarily interpret existing data, generate reports, and support decision-making with descriptive analytics. While both roles analyze data, Data Scientists handle complex modeling and predictive tasks, whereas Data Analysts focus on data interpretation and reporting.

What are some typical projects data scientists work on, and how do they collaborate with other teams?

Data Scientists often work on projects such as building predictive models, analyzing large datasets to uncover trends, and developing data-driven solutions to business problems. They regularly collaborate with cross-functional teams, including software engineers, data engineers, and business analysts, to ensure that their insights are actionable and aligned with business goals. Effective communication and teamwork are essential, as Data Scientists frequently need to present complex findings to non-technical stakeholders and incorporate feedback from various departments.
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Data Scientist jobs near you
Infographic showing various Data Scientist job openings in Baton Rouge, LA as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 4% 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

UOB

Central, LA • On-site

$120 - $150/hr

Other

Posted 8 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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