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

Data Science Tutor

Baton Rouge, LA · Remote

$18 - $40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

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 ... Ability to manage multiple concurrent projects and priorities in a fast-paced environment * Strong ...

... management. * Curriculum Awareness & Adaptive Instruction: Familiar with earth science curricula ... Adapts instruction using rock and mineral samples, weather data analysis, and interactive mapping ...

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Data Science Manager information

See Baton Rouge, LA salary details

$24.3K

$76.2K

$134.9K

How much do data science manager jobs pay per year?

As of Jul 27, 2026, the average yearly pay for data science manager in Baton Rouge, LA is $76,215.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,800.00 and $98,500.00 per year, depending on experience, location, and employer.

What are the primary responsibilities of a Data Science Manager on a day-to-day basis?

As a Data Science Manager, your daily responsibilities typically include overseeing a team of data scientists and analysts, setting project priorities, and ensuring the timely delivery of data-driven solutions. You will often collaborate with cross-functional teams, such as engineering, product, and business stakeholders, to define problems, scope solutions, and communicate analytical insights. Your role also involves mentoring team members, reviewing code and analysis, and driving best practices in data science methodologies. This position requires balancing technical project oversight with team leadership and strategic business alignment.

What is a Data Science Manager job?

A Data Science Manager leads a team of data scientists to develop and implement data-driven solutions for business challenges. They oversee project timelines, ensure the quality of data analysis, and collaborate with cross-functional teams to drive decision-making. In addition to technical expertise, they require strong leadership, communication, and strategic thinking skills. Their role bridges the gap between data science initiatives and business objectives, ensuring the team's work aligns with company goals.

Is 40 too late for data science?

Age is not a barrier to becoming a data science manager; many professionals transition into data science roles later in their careers. Success depends on relevant skills, experience, and continuous learning in areas like programming, statistics, and machine learning. Employers value diverse backgrounds and practical expertise regardless of age.

What is the 80 20 rule in data science?

The 80/20 rule in data science suggests that roughly 80% of results come from 20% of the efforts or data. Data scientists often use this principle to focus on the most impactful features, models, or data subsets to improve efficiency and outcomes in projects.

What is the role of a data science manager?

A data science manager oversees data science teams, guiding project priorities, setting strategic goals, and ensuring the effective use of data analysis and modeling techniques. They coordinate between technical staff and business stakeholders, often requiring skills in leadership, communication, and familiarity with tools like Python, R, or SQL. Their responsibilities include managing workflows, mentoring team members, and ensuring project deliverables align with organizational objectives.

How much do data scientist managers make?

Data Science Managers typically earn between $110,000 and $160,000 annually, with salaries varying based on experience, location, and company size. They often oversee teams of data scientists, coordinate projects, and require strong skills in analytics tools and leadership. Senior roles or those in high-cost areas can offer higher compensation.

What are the key skills and qualifications needed to thrive in the Data Science Manager position, and why are they important?

To thrive as a Data Science Manager, you need strong analytical skills, experience in machine learning and data analytics, and a background in statistics or computer science, often supported by an advanced degree. Familiarity with tools like Python, R, SQL, cloud platforms, and experience managing data science projects are highly valued, and certifications such as Certified Analytics Professional (CAP) can be advantageous. Excellent leadership, project management, and communication skills are crucial for guiding teams and translating technical findings for stakeholders. These abilities ensure effective team performance, successful project delivery, and the alignment of data science initiatives with organizational goals.

What are the most commonly searched types of Data Science jobs in Baton Rouge, LA? The most popular types of Data Science jobs in Baton Rouge, LA are:
What job categories do people searching Data Science Manager jobs in Baton Rouge, LA look for? The top searched job categories for Data Science Manager jobs in Baton Rouge, LA are:
What cities near Baton Rouge, LA are hiring for Data Science Manager jobs? Cities near Baton Rouge, LA with the most Data Science Manager job openings:
Infographic showing various Data Science Manager job openings in Baton Rouge, LA as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $76,215 per year, or $36.6 per hour.
Other- Data Science - CW Technical Product Owner

Other- Data Science - CW Technical Product Owner

Mindlance

Baton Rouge, LA • On-site

Full-time

Posted 25 days ago


Job description

Job Summary:
Mindlance is seeking a Technical Product Owner specializing in AI and Machine Learning for a contract role. This position focuses on executing and delivering AI and Machine Learning initiatives by translating requirements into actionable backlog items and supporting agile delivery activities.
Responsibilities:
• Support delivery of assigned AI and Machine Learning initiatives within defined scope and timelines.
• Support the Data Science Manager by organizing, filtering, and preparing new inbound business requests for technical refinement.
• Partner closely with the Data Science Manager to execute the established AI/ML product roadmap and technical delivery strategy.
• Translate approved business and technical requirements into detailed user stories, acceptance criteria, and backlog items.
• Facilitate day-to-day Scrum mechanics, including sprint planning and backlog refinement, under the direction of the Data Science Manager, with prioritization and scope decisions retained by internal leadership.
• Maintain health and hygiene of Azure DevOps (ADO) Boards, tracking sprint velocity, metrics, and capacity.
• Collaborate with enterprise project and enterprise data portfolio intake teams to align delivery timelines and manage cross-functional dependencies.
• Collaborate with engineering and data science teams to clarify requirements and resolve delivery questions.
• Track progress, risks, and dependencies; escalate issues to internal leadership as appropriate.
• Support documentation and delivery artifacts related to assigned initiatives.
• Provide delivery-focused recommendations informed by AI/ML best practices, limited to execution, backlog structuring, and workflow optimization.
Qualifications:
Required:
• Experience supporting product delivery or product ownership activities in technical or data-driven environments.
• Experience supporting program increment (PI) planning or equivalent multi-sprint planning processes within Azure DevOps (ADO) Boards.
• Experience working in Agile or Scrum-based delivery teams.
• Working knowledge of Artificial Intelligence and Machine Learning concepts and model lifecycle management.
• Working knowledge of cloud and data engineering concepts and fundamentals.
• Strong written and verbal communication skills.
• Ability to operate effectively within defined scope, deliverables, and timelines.
Company:
Mindlance is a Staffing and Recruiting company which provides multi-vertical staffing services Founded in 1999, the company is headquartered in Union, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

Mindlance logo

About Mindlance

Sourced by ZipRecruiter

Mindlance is a multinational staffing and services firm based in the Greater NYC area. We have 14 offices across the United States, Canada, and India. We match talented people to Fortune 500 and Fortune 1000 companies across industries. We have been in business since 1999 and are recognized by Staffing Industry Analysts (SIA) as one of the fastest-growing U.S. staffing firms. Our rapid growth means more jobs, more projects, and more opportunities for you. Our core philosophy means that you work with an organization that truly values and recognizes you.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Union, NJ, US

Year founded

1999