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

PVI Holdings

Data Systems Engineer

Baton Rouge, LA · On-site

$109K - $132K/yr

This role will support the Director of Data Systems in designing and delivering scalable data ... Bachelor's degree in Information Systems, Data Engineering, Data Science, or a related field, or ...

Varsity Tutors

ACT Science Tutor

Baton Rouge, LA · Remote

$18 - $40/hr

Emphasizes minimal passage reading, direct data analysis, and recognizing question patterns for maximum efficiency. * Test Strategy & Adaptive Instruction: Familiar with ACT Science time pressure ...

GHD Group

Environmental Scientist

Baton Rouge, LA · On-site

$64K - $85K/yr

The position also includes direct client management, contributing to the development of new ... Data Collection and Analysis: Conduct research using primary data sources, and select information ...

GHD

Environmental Scientist

Baton Rouge, LA · On-site

$64K - $85K/yr

The position also includes direct client management, contributing to the development of new ... Data Collection and Analysis: Conduct research using primary data sources, and select information ...

ISC Constructors

Junior Developer

Baton Rouge, LA · On-site

$55K - $65K/yr

Bachelor's degree in Computer Science, Information Systems, Data Science, Software Engineering, or ... Receive direct mentorship while working alongside senior technical staff with deep knowledge of ISC ...

Turner & Townsend

Turner & Townsend are seeking an experienced Director of Construction Management to lead and ... estate, data center, life sciences, industrial manufacturing, natural resources, etc.

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Director Data Scientist information

See Baton Rouge, LA salary details

$29.4K

$96.3K

$154.2K

How much do director data scientist jobs pay per year?

As of Aug 26, 2026, the average yearly pay for director 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 Director Data Scientist do?

A Director Data Scientist leads and manages a team of data scientists, setting the strategic direction for data-driven projects within an organization. They oversee the development and implementation of advanced analytics, machine learning models, and data solutions to solve complex business problems. In addition to technical expertise, they collaborate with other departments, mentor staff, and communicate insights to senior leadership to drive decision making. Their role bridges the gap between technical teams and business goals, ensuring that data initiatives align with organizational objectives.

How does a Director Data Scientist balance hands-on technical work with leadership responsibilities?

As a Director Data Scientist, you can expect to split your time between strategic leadership and hands-on data science work. While you will lead and mentor teams, set vision, and drive cross-functional initiatives, you’ll also stay involved in high-level modeling, code review, and project architecture to ensure technical excellence. The proportion of hands-on work versus leadership duties often depends on company size and project needs, but maintaining technical involvement is key to effective leadership and team credibility. This balance allows you to guide your team with up-to-date expertise while also influencing organizational data strategy.

What are the key skills and qualifications needed to thrive as a Director Data Scientist?

To thrive as a Director Data Scientist, you need advanced expertise in statistical modeling, machine learning, and data analysis, typically supported by a graduate degree in a quantitative field and extensive industry experience. Mastery of programming languages like Python or R, experience with big data platforms such as Hadoop or Spark, and familiarity with cloud-based data solutions are essential, along with relevant certifications like Certified Analytics Professional (CAP). Exceptional leadership, strategic thinking, and communication skills set top candidates apart by enabling them to manage teams and translate complex insights for stakeholders. These skills are crucial for driving data-driven decision-making and ensuring the successful implementation of analytics initiatives across the organization.

What is the difference between Director Data Scientist vs Senior Data Scientist?

AspectDirector Data ScientistSenior Data Scientist
ResponsibilitiesOversees data science teams, sets strategic goals, manages projects, and aligns data initiatives with business objectives.Develops advanced models, analyzes complex data, and provides insights; focuses on technical expertise and project execution.
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related; often requires 8+ years experience; leadership skills valued.Bachelor's or Master's in relevant field; typically 5+ years experience; strong technical skills essential.
Work EnvironmentLeadership roles in corporate or enterprise settings, collaborating with cross-functional teams.Hands-on technical environment, often within analytics or data science teams.

The main difference between a Director Data Scientist and a Senior Data Scientist lies in scope and leadership. The Director oversees teams and strategic initiatives, while the Senior Data Scientist focuses on technical expertise and project delivery. Both roles require strong data science skills, but the director position emphasizes management and strategic planning.

What are the most commonly searched types of Data Scientist jobs in Baton Rouge, LA?

The most popular types of Data Scientist jobs in Baton Rouge, LA are:

What cities near Baton Rouge, LA are hiring for Director Data Scientist jobs?

Cities near Baton Rouge, LA with the most Director Data Scientist job openings:

Director Data Scientist jobs near you
Infographic showing various Director Data Scientist job openings in Baton Rouge, LA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $96,294 per year, or $46.3 per hour.

Data Sciences Director

Baton Rouge, LA

Virginia Farm Bureau Mutual
See more jobs at Virginia Farm Bureau Mutualexternal

Full-time

Re-posted 7 days ago

Job description

Essential Functions & Qualifications

Identify actionable business insights hidden within existing reports and datasets. Communicate these insights to Executive Leadership Team to support strategic and operational decisions.

Formulate and investigate new business questions in response to evolving challenges and opportunities. Interrogate data to uncover trends, correlations, and anomalies not previously considered, e.g. surfacing insights that can influence decisions around pricing, risk selection, target marketing, distribution strategy, claims handling, and customer experience.

Work cross-functionally with actuarial teams and management reporting experts to amplify analytical capabilities. Lead collaborative efforts to build unified data narratives that drive clarity and foresight.

Develop new, innovative reporting models that go beyond standard KPIs. Propose fresh reporting structures that illuminate emerging performance drivers or risk indicators.

Translate ambiguous business challenges into structured analyses using internal datasets. Recommend solutions or mitigation strategies based on rigorous data interpretation.

Present findings, insights, and recommendations in a clear, compelling way tailored to executive audiences. Support strategic planning sessions and performance reviews with data-backed perspectives.

5-8 plus years of progressive experience in data science, advanced analytics, or business intelligence required.

Strong working knowledge of P&C insurance operations, underwriting, claims, and financial performance metrics required.Familiarity with actuarial and management reporting processes, able to collaborate fluently across both required.

Proven experience delivering insights that influence business decisions at the executive level required.

Expert-level proficiency in SQL, Python, R, or other data interrogation tools required.

Strong data visualization skills using Tableau, Power BI, or equivalent platforms required.

Exceptional communication and storytelling skills, able to bridge the gap between data complexity and business clarity required.

Familiarity with agentic and generative AI tools to enhance data interrogation, automate insight generation, or prototype analytical frameworks required.

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