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Executive Data Scientist Jobs in Baton Rouge, LA

Databricks

Senior Solutions Architect

Central, LA

Form relationships with executives and influencers. * Present a convincing point-of-view to important decision-makers that leads them down a path of success. * Technical in big data, data science and ...

Databricks

Solutions Architect - MFG

Central, LA · On-site

$58.25 - $76.75/hr

... become more data-driven. Working with the Enterprise Account Executive (AE), the Solutions ... Technical experience in data engineering, cloud data warehousing, and/or data science * An ability ...

Kaizen Lab Inc.

Senior Strategy Analyst

Baton Rouge, LA · On-site

$90 - $130/hr

Executive Communication -- Turn complexanalysis into clear narratives for leadership, building the ... What You Bring * Bachelor'sdegree in Business, Economics, Finance, Data Science, Statistics ...

Databricks Inc.

Solutions Architect

Central, LA · On-site

$180 - $247.50/hr

... executives and influencers. * Present a convincing point‑of‑view to important decision‑makers that leads them down a path of success. * Technical in big data, data science and cloud. * An ...

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All JobsData Scientist JobsExecutive Data Scientist JobsExecutive Data Scientist Jobs in Baton Rouge, LA

Executive Data Scientist information

See Baton Rouge, LA salary details

$36.1K

$129.5K

$191K

How much do executive data scientist jobs pay per year?

As of Sep 2, 2026, the average yearly pay for executive data scientist in Baton Rouge, LA is $129,464.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,700.00 and $133,400.00 per year, depending on experience, location, and employer.

What is an executive data scientist?

An Executive Data Scientist is a senior-level professional who leads data science initiatives within an organization. They are responsible for setting strategic direction, overseeing large-scale data projects, and bridging the gap between technical data teams and business leadership. Their role involves not only advanced analytics and modeling but also communicating insights to stakeholders and ensuring data-driven decisions align with business goals. Executive Data Scientists often manage teams, influence company data strategy, and play a key role in driving innovation and digital transformation.

How does an executive data scientist typically collaborate with leadership and cross-functional teams?

Executive Data Scientists play a strategic role by bridging the gap between data science teams and organizational leadership. They regularly translate complex analytical insights into actionable business recommendations for executives, and work closely with stakeholders across departments such as IT, marketing, and operations. This collaboration ensures that data-driven initiatives align with business objectives and that projects receive the resources and support needed for success. Effective communication and stakeholder management are key aspects of the role, as is mentoring junior data scientists and fostering a culture of innovation.

What are the key skills and qualifications needed to thrive as an executive data scientist, and why are they important?

To thrive as an Executive Data Scientist, you need advanced expertise in data analytics, machine learning, and statistical modeling, usually backed by a master's or PhD in a quantitative field. Familiarity with big data platforms (like Hadoop or Spark), programming languages (Python, R), and data visualization tools, along with certifications such as Certified Analytics Professional (CAP), is highly valued. Leadership, strategic thinking, and the ability to communicate complex insights to non-technical stakeholders are crucial soft skills for this role. These skills ensure effective data-driven decision-making at the executive level, driving business innovation and competitive advantage.

What is the difference between Executive Data Scientist vs Data Scientist?

AspectExecutive Data ScientistData Scientist
CredentialsAdvanced degrees (Master's/PhD), leadership experienceBachelor's or Master's in Data Science, Statistics, or related fields
Work EnvironmentStrategic roles, leadership teams, executive meetingsData analysis, model development, technical tasks
Employer & Industry UsageSenior roles in tech, finance, healthcare, and large enterprisesStartups, tech companies, research institutions

Executive Data Scientists focus on strategic decision-making and leadership, often overseeing data teams and aligning data initiatives with business goals. Data Scientists primarily handle technical data analysis, modeling, and insights generation. While both roles require strong analytical skills, Executive Data Scientists combine technical expertise with leadership and strategic planning, making them suitable for senior management positions.

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 are popular job titles related to Executive Data Scientist jobs in Baton Rouge, LA?

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

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

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

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

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

Executive Data Scientist jobs near you

Data Sciences Director

Virginia Farm Bureau Mutual

Baton Rouge, LA • On-site

Full-time

Re-posted 14 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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