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Enterprise Data Scientist Jobs (NOW HIRING)

Polluxa, Inc.

Enterprise Data Scientist

San Francisco, CA · On-site

$150 - $200/hr

About the Role At Kikoff, our Enterprise Data Scientists sit at the intersection of data, strategy, and partnerships. You will work closely with internal teams -- including Business Development ...

VTG

Data Scientist

Chantilly, VA · On-site

$105K - $215K/yr

Experience supporting federal, DoD, or IC programs, Exposure to mission, operational, or enterprise data sets, Familiarity with tools such as Jupyter, Tableau, Power BI, or similar Data Scientist ...

VTG

Data Scientist

Chantilly, VA · On-site

$105K - $215K/yr

Experience supporting federal, DoD, or IC programs, Exposure to mission, operational, or enterprise data sets, Familiarity with tools such as Jupyter, Tableau, Power BI, or similar Data Scientist ...

Vantage Data Centers

Data Scientist, NA

Denver, CO · On-site

The Data Scientist plays a critical role in advancing Vantage's analytics, automation, and data ... Enterprise Data Alignment & System Integration * Define analytical requirements that inform data ...

9th Way Insignia

Data Scientist

Washington, DC · On-site

The Data Scientist will support enterprise data modernization, advanced analytics, reporting, automation, and decision-support initiatives across multiple business lines. This position aligns to the ...

9th Way Insignia

Data Scientist

Washington, DC · On-site

The Data Scientist will support enterprise data modernization, advanced analytics, reporting, automation, and decision-support initiatives across multiple business lines. This position aligns to the ...

9th Way Insignia

Data Scientist

Washington, DC

The Data Scientist will support enterprise data modernization, advanced analytics, reporting, automation, and decision-support initiatives across multiple business lines. This position aligns to the ...

VTG

Data Scientist with Security Clearance

Chantilly, VA · On-site

$105K - $215K/yr

Experience supporting federal, DoD, or IC programs, Exposure to mission, operational, or enterprise data sets, Familiarity with tools such as Jupyter, Tableau, Power BI, or similar Data Scientist ...

Unchain Data

Data Scientist

Miami, FL · On-site

Own or contribute to the enterprise data inventory, including priority systems, data owners ... Apply data science and analytical methods to develop reusable models, reports, dashboards, and ...

Unchain Data

Own or contribute to the enterprise data inventory, including priority systems, data owners ... Apply data science and analytical methods to develop reusable models, reports, dashboards, and ...

Sky Consulting Inc

Data Scientist

Houston, TX · On-site

Develop, test, and deploy data science solutions using Python, SQL, and PySpark on enterprise platforms such as Databricks. * Collaborate with data scientists to translate models into production ...

VT Group (VTG)

Data Scientist

Chantilly, VA · On-site

Job Summary : VTG is looking for a Data Scientist in Chantilly, VA, to support government and ... or enterprise data sets • Familiarity with tools such as Jupyter, Tableau, Power BI, or similar ...

Inceed

Data Scientist

Kansas City, MO · On-site

This is a unique contract opportunity supporting a large, complex enterprise environment with evolving project needs. The work sits at the intersection of data science, technology, and energy, with ...

Apex Informatics

Data Scientist

Addison, TX · On-site

DATA SCIENTIST W2 Candidates only Addison, TX/ Chandler, AZ/ Kennesaw, GA Years of Experience ... At least 2 years' experience in designing and developing enterprise-scale ML/NLP solutions in one ...

Apex Systems

Data Scientist (AI/ML)

Alexandria, VA · On-site

The Data Scientist will develop advanced analytical models, artificial intelligence (AI ... Analyze large volumes of structured and unstructured operational, intelligence, and enterprise data ...

CACI

Data Scientist

Alexandria, VA · On-site

The Data Scientist will develop advanced analytical models, artificial intelligence (AI ... Analyze large volumes of structured and unstructured operational, intelligence, and enterprise data ...

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Enterprise Data Scientist information

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$165K

$243.5K

How much do enterprise data scientist jobs pay per year?

As of Sep 11, 2026, the average yearly pay for enterprise data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

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Cities with the most Enterprise Data Scientist job openings:

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States with the most job openings for Enterprise Data Scientist jobs include:

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Infographic showing various Enterprise Data Scientist job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Enterprise Data Scientist

San Francisco, CA • On-site

Polluxa, Inc.
See more jobs at Polluxa, Inc.external

$150 - $200/hr

Other

This job post has expired 2 days ago. Applications are no longer accepted.

Job description

About Kikoff

Kikoff is a profitable, pre-IPO fintech company on a mission to empower everyone to achieve financial security. With record revenue growth in 2025 and a unicorn valuation, we've built a suite of products that help millions of people build credit, access liquidity, and save money. We're scaling fast. Join us if you want to build something meaningful and help millions of people move forward financially.

Why Kikoff

This is a consumer fintech startup, and you will be working with serial entrepreneurs who have built strong consumer brands and innovative products. We value extreme ownership, clear communication, a strong sense of craftsmanship, and the desire to create lasting work and work relationships. Yes, you can build an exciting business AND have real-life real-customer impact.

About the Role

At Kikoff, our Enterprise Data Scientists sit at the intersection of data, strategy, and partnerships. You will work closely with internal teams — including Business Development, Product, Engineering, and Data Engineering — as well as external partners to drive mutual value through rigorous data analysis. Your work will directly inform how Kikoff grows and optimizes its partnership ecosystem, identifying new opportunities and deepening existing relationships.

Responsibilities
  • Partnership analytics: Own the analytical framework for measuring and improving the performance of existing partnerships. Develop metrics, build dashboards, and deliver actionable insights that help both Kikoff and its partners maximize value from the relationship.
  • Partner development & EDA: Conduct exploratory data analysis to surface signals in data that identify new potential partners — understanding market fit, customer overlap, and opportunity sizing to help business development prioritize outreach.
  • Strategic influence: Translate complex analyses into clear, compelling narratives for both internal stakeholders and external partners. Serve as a data-driven voice in partner conversations and business reviews.
  • Analytical rigor: Develop and test hypotheses using a robust toolkit — including statistical modeling, regression, segmentation, and causal inference — to evaluate partnership performance and guide strategic decisions.
  • Cross-functional collaboration: Partner closely with Business Development, Product, and Operations to align on goals, define success metrics, and ensure data integrity across the partnership lifecycle.
Qualifications
  • Bachelor's degree or above in a quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or a related field
  • 4+ years of experience in analytics, preferably with exposure to partnerships, business development, or B2B enterprise contexts
  • Expert proficiency in SQL
  • Solid understanding of statistical analysis, experimentation design, and common ML techniques
  • Demonstrated ability to communicate data findings clearly to both technical and non-technical audiences, including external stakeholders
  • Collaborative, intellectually curious, and comfortable navigating ambiguity in a fast-moving environment
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