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Executive Data Science Startup Jobs (NOW HIRING)

ECS

Data Scientist Lead

Tampa, FL · On-site

The successful candidate will be a senior subject matter expert in data science, leading a team of ... Coordinate with the USCENTCOM Chief Data Officer (CDO), the Operations Directorate Executive Data ...

Rundoo

Data Science Intern

Chicago, IL · On-site

$1.2K/wk

... a fast-paced startup. You'll be based in the Chicago office. What you'll do as a Data Science ... Nick (CEO): studied math & computer science at Stanford; worked as a trader at Bridgewater ...

Fannie Mae

Data Science Advisor

Washington, DC · On-site

You will apply expertise in data science, machine learning, AI, large-scale data processing ... Create technical strategies and executive-ready materials that communicate high-impact solutions to ...

Fanniemae

Data Science Advisor

Washington, DC · On-site

You will apply expertise in data science, machine learning, AI, large-scale data processing ... Create technical strategies and executive-ready materials that communicate high-impact solutions to ...

Fanniemae

Data Science Advisor

Reston, VA · On-site

You will apply expertise in data science, machine learning, AI, large-scale data processing ... Create technical strategies and executive-ready materials that communicate high-impact solutions to ...

Evolver

Applied Data Science Intern

Palo Alto, CA

Founders includes former executives from some of the world's top organizations, including the ... startup environment. Program Details: Evolver is launching a small, highly selective summer ...

Evolver

Applied Data Science Intern

Palo Alto, CA · On-site

Founders includes former executives from some of the world's top organizations, including the ... startup environment. Program Details: Evolver is launching a small, highly selective summer ...

Lemonade

Data Science Manager

New York, NY · On-site

$210K - $230K/yr

We take pride in the fact that we still think and operate like a startup. We don't care much about ... You'll sit within our Data Science team, owning the direction of a group of talented data ...

Athena LLC

We clear the way by pairing exceptional Executive Assistants with our driven clients, providing ... Role Overview The Data Science Intern will help us to understand the performance of Executive ...

Athenago

Data Science Intern

Wilmington, DE

We clear the way by pairing exceptional Executive Assistants with our driven clients, providing ... Role Overview The Data Science Intern will help us to understand the performance of Executive ...

Boot Barn

Director, Data Science

Irvine, CA · On-site

Partner with executive leadership and cross-functional stakeholders to translate business needs into scalable data science & AI solutions * Oversee the design, development, and deployment of ...

Home Depot

DATA SCIENCE MANAGER

Atlanta, GA · On-site

As a Data Science Manager, you will provide executive summaries to all levels of the organization and leverage your business knowledge and network to identify opportunities to leverage data science ...

LiveRamp

Co-Op, Data Science

San Francisco, CA · On-site

... a startup personality: smart, ethical, friendly, hard-working and proactive • Excited to work ... our data science and engineering teams to design and implement data models that measure ad ...

Coupang

Director of Data Science

Mountain View, CA

$174K - $299K/yr

We are proud to have the best of both worlds - a startup culture with the resources of a large ... Experience partnering with executive stakeholders and driving strategic initiatives Pay & Benefits ...

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Executive Data Science Startup information

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How much do executive data science startup jobs pay per year?

As of Jun 18, 2026, the average yearly pay for executive data science startup in the United States is $93,552.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,000.00 and $120,500.00 per year, depending on experience, location, and employer.
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What cities are hiring for Executive Data Science Startup jobs? Cities with the most Executive Data Science Startup job openings:
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Executive Data Science Startup jobs near you
Infographic showing various Executive Data Science Startup job openings in the United States as of June 2026, with employment types broken down into 2% As Needed, 96% Full Time, 1% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $93,552 per year, or $45 per hour.
Data Scientist Lead

Data Scientist Lead

ECS

Tampa, FL • On-site

Full-time

Posted 11 days ago

Job description

Everforth ECS is seeking a Data Scientist Lead to join our team in Tampa, FL.
The successful candidate will be a senior subject matter expert in data science, leading a team of data professionals to enhance the command's data-driven decision-making capabilities. This role requires a demonstratable history of designing, developing, and operationalizing advanced analytical solutions within Military, Federal, or Intelligence organizations.
The Data Scientist Lead will provide oversight for the Data Management team and drive the implementation of strategic initiatives in data engineering, data science, and Artificial Intelligence/Machine Learning (AI/ML). You will be responsible for translating mission needs into high-impact technical solutions, from data ingestion and model development to the deployment of full-stack AI-driven capabilities that directly support military operations.
Key Responsibilities:
  • Provide comprehensive leadership and oversight for the data engineering, analytics, and predictive analytics team, ensuring all services align with strategic operational objectives.
  • Lead the development and implementation of advanced analytics, statistical model development, data governance, and the integration of innovative technologies to inform operational decisions.
  • Apply advanced machine learning and AI techniques, including unsupervised, supervised, reinforcement learning, and generative AI (e.g., Large Language Models, multi-modal AI), to identify patterns and generate mission-critical insights.
  • Oversee the development, deployment, and maintenance of high-quality, fault-tolerant data pipelines to clean, tag, and ingest structured and unstructured data into data lakes and lakehouses.
  • Direct the data science lifecycle, from exploration and algorithm development to statistical validation and solution operationalization, ensuring deployed capabilities meet mission requirements.
  • Coordinate with the USCENTCOM Chief Data Officer (CDO), the Operations Directorate Executive Data Officer (XDO), and participate in relevant forums to interpret mission needs and define operational data requirements.
  • Serve as the senior technical advisor for the team, guiding the use of query languages (SQL), programming languages (Python, R), and analytics platforms to enable data-driven decisions.
  • Translate highly technical information and findings into clear, actionable insights for a broad, non-technical operational audience and senior leadership.
  • Manage and prioritize multiple projects and tasks simultaneously in a dynamic, fast-paced work environment.

  • Must be a U.S. Citizen
  • Active Top Secret clearance and SCI eligibility.
  • BA/BS or MA/MS in Data Science, Analytics, Computer Science, Information Technology, or a related field.
  • More than 10 years of relevant work experience, with significant experience leading data science or analytics teams.
  • Demonstrated experience capturing, implementing, and managing data science requirements for senior Military, Federal Government, or Intelligence Community stakeholders.
  • Proven expertise in applying advanced AI/ML techniques and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) to solve complex problems.
  • Highly proficient in Python and/or R for data engineering, automation, and model development.
  • Experience with data engineering concepts, including building and maintaining data pipelines (ETL/ELT), data warehousing, and data lake/lakehouse architectures.
  • Familiarity with data visualization and analytics platforms such as Power BI, Tableau, Qlik, or Palantir Foundry / Maven Smart System (MSS).
  • Experience with data storage and processing tools (e.g., Apache Spark, Databricks, Hadoop) and databases (e.g., TSQL, MySQL, Oracle, PostgreSQL).
  • Excellent written and verbal communication skills, with experience briefing senior leaders.
  • Must be available for occasional travel to domestic and international locations.

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