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Data Scientist Startup Jobs (NOW HIRING)

Polco

Data Scientist

Madison, WI · On-site +1

$90K - $120K/yr

Experience working in ambiguity and excitement about moving at startup pace-you like bringing ... Apply for the Data Scientist position by submitting a resume, cover letter, and your personal ...

PhaseV

Senior Data Scientist

Cambridge, MA · On-site

PhaseV (HQ in Boston, R&D in Tel Aviv) is a cutting-edge startup, pushing innovation in the drug ... We are seeking a talented Data Scientist to join our team of researchers. The ideal candidate will ...

Polco

Data Scientist

Madison, WI · On-site

Polco is hiring a Data Scientist! Polco runs some of the most important local government ... Experience working in ambiguity and excitement about moving at startup pace--you like bringing ...

Sciemo, Inc.

Data Scientist

Manhattan, NY · On-site

OVERVIEW We are an industry-leading startup developing AI for consumer brands. Our solutions ... ROLE As a Data Scientist, you will build the models that turn customer data into decisions ...

PhaseV

Senior Data Scientist

Boston, MA

PhaseV (HQ in Boston, R&D in Tel Aviv) is a cutting-edge startup, pushing innovation in the drug ... We are seeking a talented Data Scientist to join our team of researchers. The ideal candidate will ...

Gold Standard Auctions

Data Scientist

Dallas, TX · On-site

$20 - $28/hr

Comfortable in a startup environment where priorities change quickly * Strong problem solver who ... data science, analytics, or similar role * Strong proficiency in Python (pandas, numpy, data ...

Sciemo, Inc.

OVERVIEW We are an industry-leading startup developing AI for consumer brands. Our solutions ... ROLE As a Data Scientist, you will build the models that turn customer data into decisions ...

Sciemo

Data Scientist

New York, NY · On-site

$150K - $300K/yr

OVERVIEW We are an industry-leading startup developing AI for consumer brands. Our solutions ... ROLE As a Data Scientist, you will build the models that turn customer data into decisions ...

Sciemo

Data Scientist

Manhattan, NY · On-site

OVERVIEW We are an industry-leading startup developing AI for consumer brands. Our solutions ... ROLE As a Data Scientist, you will build the models that turn customer data into decisions ...

Graphite

Data Scientist

New York, NY · On-site

$160/hr

About the Role Graphite is growing rapidly, and we're looking for a data scientist to support ... a fast-paced startup environment. Life at Graphite * Competitive comp: ($160-200k base ...

SageSure

Data Scientist

Chicago, IL · On-site

... of a startup, we're hiring. SageSure, a leader in catastrophe-exposed property insurance, is ... The ideal candidate enjoys solving difficult business problems through data science, thrives ...

Swish Analytics

Data Scientist

San Francisco, CA · On-site +1

$150K/yr

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... This role will work at the intersection of data science, trading, and data engineering to help ...

Menlo Ventures

Data Scientist

Manhattan, NY · On-site

$160/hr

About the Role Graphite is growing rapidly, and we're looking for a data scientist to support ... a fast-paced startup environment. Life at Graphite * Competitive comp: ($160-200k base ...

tenex

Senior Data Scientist

San Jose, CA · On-site

We're a fast growing startup backed by industry experts and top tier investors led by Crosspoint ... Role Overview As a Senior Data Scientist, you will be responsible for the end-to-end lifecycle of ...

Tenex.AI Inc

Senior Data Scientist

San Jose, CA · On-site

We're a fast growing startup backed by industry experts and top tier investors led by Crosspoint ... Role Overview As a Senior Data Scientist, you will be responsible for the end-to-end lifecycle of ...

Brilent

Senior Data Scientist

San Mateo, CA · On-site

Company Description Brilent is a data science tech company developing a SaaS solution to help ... WHY US? Brilent is a well-funded, award winning startup located in the Silicon Valley. We are ...

Bet365

Senior Data Scientist

Denver, CO · On-site

The data science team is at the forefront of driving business decisions; we are now scaling our ... Proven experience working in a fast-paced, agile, or startup-like environment. You must have a ...

SAIC

Data Scientist

Mclean, VA · On-site

$200K - $240K/yr

Data Scientist Schedule: Full-Time Shift: Day Job Travel: No Minimum Clearance Required: TS.SCI ... Support a startup integrated security initiative with a focus on analyzing current processes ...

Findigs

Data Scientist

Manhattan, NY · On-site

$160K - $185K/yr

As Data Scientist at Findigs, you will strengthen our data science and applied machine learning ... Startup / scale‑up experience Benefits * Location: We operate on a hybrid schedule (3‑4x times ...

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Data Scientist Startup information

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How much do data scientist startup jobs pay per year?

As of Sep 14, 2026, the average yearly pay for data scientist startup in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What does a data scientist do at a startup?

A Data Scientist at a startup typically wears many hats, leveraging data to drive business decisions, build predictive models, and develop data-driven products. Unlike in larger companies, startup Data Scientists often work closely with other teams, handle end-to-end data pipelines, and may even take on responsibilities like data engineering or analytics. The fast-paced environment requires adaptability, strong problem-solving skills, and the ability to quickly turn raw data into actionable insights that can have a direct impact on the company's growth.

What are the key skills and qualifications needed to thrive as a data scientist in a startup?

To thrive as a Data Scientist in a startup, you need a solid foundation in statistics, data analysis, and programming (often Python or R), usually backed by a relevant degree in computer science, mathematics, or a related field. Familiarity with machine learning libraries (like scikit-learn, TensorFlow), cloud platforms (such as AWS or GCP), and data visualization tools (such as Tableau or Power BI) is typically required. Strong problem-solving skills, adaptability, and the ability to communicate complex findings to non-technical stakeholders are essential soft skills. These competencies are crucial in a startup environment, where rapid iteration, cross-functional collaboration, and translating data insights into actionable business strategies are key to driving growth and innovation.

What unique challenges might a data scientist face when working at a startup compared to a larger company?

At a startup, Data Scientists often work with limited resources, less historical data, and rapidly changing business priorities. This means you'll likely wear multiple hats—handling data collection, cleaning, modeling, and sometimes even deploying solutions on your own. The pace is fast, and you'll need to adapt quickly to shifting objectives while collaborating closely with engineers, product managers, and founders. However, this environment also offers significant opportunities to make a direct impact and gain broad experience across the data science pipeline.

What is the difference between Data Scientist Startup vs Data Analyst?

AspectData Scientist StartupData Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fields; programming skills in Python/RBachelor's in Statistics, Mathematics, or related fields; proficiency in Excel, SQL
Work EnvironmentFast-paced startup setting, cross-functional teams, innovative projectsCorporate or business environment, reporting and visualization tasks
Employer & Industry UsageTech startups, e-commerce, SaaS companiesFinancial firms, marketing agencies, retail companies

In summary, Data Scientist Startup roles focus on advanced analytics, machine learning, and building predictive models, requiring stronger technical skills and often a higher level of education. Data Analysts typically handle data reporting, visualization, and basic analysis, with a focus on interpreting existing data for business insights. Both roles are essential but differ in complexity and scope within startup environments.

More about Data Scientist Startup jobs

What cities are hiring for Data Scientist Startup jobs?

Cities with the most Data Scientist Startup job openings:

What states have the most Data Scientist Startup jobs?

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

What are popular job titles related to Data Scientist Startup jobs?

For Data Scientist Startup jobs, the most frequently searched job titles are:

Data Scientist Startup jobs near you
Infographic showing various Data Scientist Startup job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 12% Part Time, and 2% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data Scientist

Madison, WI • On-site, Remote

Polco
Internet Websites and Web Search Portals • 11 - 50 employees
Learn more about Polcoexternal

$90K - $120K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 10 days ago

Job description

Polco is hiring a Data Scientist! Polco runs some of the most important local government performance databases in the country, including GPAL, which is a 'Bloomberg Terminal of local government performance.' As a Data Scientist at Polco, you'll help synthesize advanced insights for our roughly 400 premier US local governments across 50 states. With an average population of over 90,000, you'll be positively impacting more than 36 million Americans.
This role spans descriptive analytics (characterizing community trends and benchmarks), predictive analytics (cloud-based machine learning models that show communities where their key metrics are headed), and causal analytics (contributing to the causal econometric work Polco is known for, with mentorship from our PhD economist).
If you're a mission-driven Data Scientist with a solid statistics foundation and are comfortable working in Python and SQL (R is a plus) on large, cloud-based datasets (Snowflake), this is the role for you.
While remote candidates across the US will be considered, our preferred candidate will be located in the Madison, WI area and work a hybrid schedule based out of Polco's headquarters office.
Key Responsibilities
  • Maintain and run Polco's recurring data processes, including GPAL and other analytic databases (data ingests, cleaning, dataset refreshes), survey weighting and benchmarking, and periodic model updates.
  • Build and improve statistical and predictive models using GPAL and our other databases (for example, our customer renewal model), and adapt existing models as our needs change.
  • With mentorship from Polco leadership, take on advanced client analytics projects-including impact and causal-inference studies-and communicate results clearly to internal and external stakeholders through written, in-person, and virtual presentations.
  • Partner with our Engineering Team to automate data workflows (ingest, cleaning, analytics, dashboards) and make statistical and AI tooling more accessible across the company.
  • Collaborate with our Marketing, Sales, Customer Success, and Survey Research Teams on internal analytics like renewal models.
  • Keep clear, organized, and professional documentation so your work is reproducible and transferable across the team, and contribute to Polco's online reporting tools and internal data apps.

Skills & Requirements
  • Bachelor's degree or equivalent experience in a quantitative field grounded in statistics (data science, statistics, economics, or similar). A graduate degree will be helpful, but not required.
  • 2+ years of applied, non-academic industry experience in data science or quantitative analysis. A strong applied-project or capstone portfolio can offset part of this.
  • Proficiency in Python and SQL (required).
  • Working knowledge of R, or willingness to read and learn it as some of our existing tools and internal apps are written in R.
  • A solid statistics foundation and genuine interest in causal inference and model building. Deep causal-inference expertise is not required (we'll mentor it), but the aptitude and curiosity to learn it are mandatory.
  • Experience building with agentic AI tools (e.g., Claude, Codex)-not just using them, but orchestrating them to run analyses, develop reusable workflows and skills, and extend what you can do statistically beyond what you could hand-code alone.
  • Strong written and verbal communication skills, including explaining technical work to non-technical stakeholders.
  • Experience working in ambiguity and excitement about moving at startup pace-you like bringing structure to messy, open-ended problems and adapt well when priorities shift.
  • Highly organized, detail-oriented, and able to manage multiple projects with minimal oversight.

Nice-to-have Experience
  • Survey research, public-sector, or civic-data experience.
  • Strong data-visualization skills and a 'storytelling with data' sensibility.
  • Experience automating or scaling data workflows in the cloud (Snowflake, etc.).

Perks & Benefits:
  • Exceptional benefits package including dental, medical, and vision coverage.
  • Hybrid work environment if located in the Madison, WI area; 100% remote if elsewhere.
  • Flexible work hours, 15 company holidays, and generous paid time off.

To Apply:
Apply for the Data Scientist position by submitting a resume, cover letter, and your personal information to the listing on Polco's careers page (both a cover letter and resume are required for full consideration). Please upload your application materials as PDFs. This position was opened on September 2, 2026 and will remain open until filled.

Apply