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Data Science Degree Jobs in Baton Rouge, LA (NOW HIRING)

PVI Holdings

Data Systems Engineer

Baton Rouge, LA · On-site

$109K - $132K/yr

Bachelor's degree in Information Systems, Data Engineering, Data Science, or a related field, or equivalent relevant experience * 5+ years of experience writing complex SQL queries and working with ...

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All JobsData Science Degree JobsData Science Degree Jobs in Baton Rouge, LA

Data Science Degree information

See Baton Rouge, LA salary details

$36K

$117.9K

$188.7K

How much do data science degree jobs pay per year?

As of Aug 18, 2026, the average yearly pay for data science degree in Baton Rouge, LA is $117,858.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,600.00 and $130,600.00 per year, depending on experience, location, and employer.

What is a data science degree?

A Data Science degree is an academic program that prepares students to analyze, interpret, and derive insights from complex data sets using statistical, computational, and machine learning techniques. The curriculum typically includes coursework in mathematics, statistics, computer science, and specialized data science methods. Graduates are equipped with the skills to work in a variety of industries, tackling real-world problems by leveraging data-driven decision making. This degree can be pursued at the undergraduate or graduate level, and often includes hands-on projects and internships.

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 mathematics, statistics, and programming, typically supported by a degree in data science, computer science, or a related field. Proficiency in technical tools such as Python or R, SQL, and machine learning frameworks, along with relevant certifications, is highly valued. Strong problem-solving abilities, effective communication, and curiosity help set apart top-performing data scientists. These skills are crucial for extracting actionable insights from data, collaborating with stakeholders, and driving data-driven decision-making.

What types of real-world projects or team collaborations can I expect to work on after earning a data science degree?

After earning a Data Science degree, you can expect to engage in a variety of real-world projects such as building predictive models, analyzing large datasets to uncover business insights, and developing data-driven solutions for organizational challenges. Data scientists often collaborate closely with cross-functional teams, including software engineers, business analysts, and domain experts, to translate complex data findings into actionable strategies. These collaborations not only enhance your technical skills but also provide valuable experience in communication and project management, which are essential for career growth in this field.

What is the difference between Data Science Degree vs Data Analyst?

AspectData Science DegreeData Analyst
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fieldsBachelor's in Statistics, Mathematics, or related fields
Work EnvironmentResearch, modeling, developing algorithms, often in tech or finance industriesData cleaning, reporting, visualization, supporting business decisions
Employer & Industry UsageTech companies, finance, healthcare, academiaRetail, marketing, finance, healthcare

Data Science Degree programs focus on advanced analytics, machine learning, and programming, preparing individuals for complex modeling roles. Data Analysts typically handle data processing, visualization, and reporting to support decision-making. While both roles require strong analytical skills, Data Science degrees emphasize technical and statistical expertise, whereas Data Analysts focus on interpreting data for business insights.

What can I do with my data science degree?

A data science degree prepares individuals for roles such as data analyst, data scientist, machine learning engineer, and business intelligence analyst. Graduates can work in industries like technology, finance, healthcare, and marketing, utilizing skills in programming, statistical analysis, and data visualization tools like Python, R, and SQL.

What jobs can a data science degree get?

A data science degree qualifies individuals for roles such as data analyst, data scientist, machine learning engineer, and business intelligence analyst. These positions typically require skills in programming, statistical analysis, and data visualization tools like Python, R, or SQL, and may involve working in various industries including technology, finance, healthcare, and marketing.

What are popular job titles related to Data Science Degree jobs in Baton Rouge, LA?

For Data Science Degree jobs in Baton Rouge, LA, the most frequently searched job titles are:

What job categories do people searching Data Science Degree jobs in Baton Rouge, LA look for?

The top searched job categories for Data Science Degree jobs in Baton Rouge, LA are:

What cities near Baton Rouge, LA are hiring for Data Science Degree jobs?

Cities near Baton Rouge, LA with the most Data Science Degree job openings:

Data Science Degree jobs near you
Infographic showing various Data Science Degree job openings in Baton Rouge, LA as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 7% Part Time, 2% Temporary, and 2% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $117,858 per year, or $56.7 per hour.

VP, Data Scientist, Enterprise AI, Innovation Group

UOB

Central, LA • On-site

$120 - $150/hr

Other

This job post has expired today. Applications are no longer accepted.

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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