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Data Scientist Startup Jobs (NOW HIRING)

Hayden AI

Associate Data Scientist

San Francisco, CA · On-site

$69K - $70K/yr

Hayden AI seeks a Data Scientist to support a diverse set of stakeholders with Data and Analytics ... Prior experience in a startup environment and a desire to make a significant impact. #J-18808 ...

Partiful

Data Scientist

New York, NY · On-site

$165K - $190K/yr

The Role We're looking for a business-oriented data scientist to help us unlock the full value of ... startup; experience in consumer is preferred but not required * Fluency in SQL and Python ...

Swish Analytics

Data Scientist

San Francisco, CA · Remote

$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 ...

SupportFinity™

Data Scientist

San Francisco, CA · On-site

We're looking for someone who has been a great data scientist, analytics engineer, or data engineer ... Early‑stage startup experience. Why This Role * Set the standard for the industry - the team is ...

Northbeam

Senior Data Scientist

About the Role We are seeking a Senior Data Scientist to help build and scale Northbeam ... Comfortable working in a fast-paced startup environment and driving projects from concept to ...

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 ...

Swish Analytics

Soccer Data Scientist

San Francisco, CA · On-site +1

$130K/yr

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... Data Science is at the core of our business, so this team has true ownership and impact over ...

Alignment Healthcare

Data Scientist

Orange, CA · On-site

We are seeking a mission-driven Data Scientist (CAHPS and HOS) to join our growing team and support ... startup environment. * Knowledge of CMS Stars rating procedures. Work Environment The work ...

New

Gradient AI

Principal Data Scientist

Boston, MA · On-site +1

$190K/yr

We are looking for a Principal Data Scientist with deep, specialized expertise to lead our ... A fun, team-oriented startup culture. * Generous stock options - we all get to own a piece of what ...

Minerva

Data Scientist

Manhattan, NY · On-site

About the Role As a Data Scientist at Minerva, you build the models and features that power our ... Prior work at an early-stage startup. You don't need to tick every box. If you're strong on the ...

Arch

Data Scientist

San Francisco, CA · On-site

Role Overview We're hiring a Data Scientist to help architect the intelligence layer of Arch . You ... YC startup experience. Previously built wildfire response systems that save lives. Obsessed with ...

AlphaRoute

Data Scientist - Optimization/Operations Research Engineer (Boston Area, Full-Time, Salary) Who We Are AlphaRoute is a startup that provides dynamic, end-to-end software, advanced analytics, and ...

HappyRobot Inc

Data Scientist

San Francisco, CA · On-site

Must Have * 4+ years of experience in Data Science, Product Analytics, or another highly ... Prior experience in a fast-growing startup or other highly ambiguous environment. Why join us?

Knit Health

Senior Data Scientist

San Francisco, CA · On-site

$140K - $175K/yr

Why this role The data science team is responsible for understanding provider needs and clinical ... Experience working at an early-stage startup or in a fast-moving, ambiguous environment.

Swish Analytics

Soccer Data Scientist

San Francisco, CA · On-site

$130K/yr

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... Data Science is at the core of our business, so this team has true ownership and impact over ...

TENEX.AI

Senior Data Scientist

San Jose, CA · On-site

They are seeking a Senior Data Scientist to design, build, and deploy machine learning models that ... stage startup environment. Company : TENEX.AI is a cybersecurity company that combines human ...

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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.

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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?

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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.

Associate Data Scientist

San Francisco, CA • On-site

Hayden AI
Software Development • 11 - 50 employees
Learn more about Hayden AIexternal

$69K - $70K/yr

Other

Re-posted 24 days ago

Job description

About Us

At Hayden AI, we are on a mission to harness the power of computer vision to transform the way transit systems and other government agencies address real-world challenges.

From bus lane and bus stop enforcement to transportation optimization technologies and beyond, our innovative mobile perception system empowers our clients to accelerate transit, enhance street safety, and drive toward a sustainable future.

Job Summary:

Hayden AI seeks a Data Scientist to support a diverse set of stakeholders with Data and Analytics needs. This is a great opportunity for someone who wants to deliver a big impact: you’ll be supporting the Data Science team and operate at the intersection of Data Engineering, Analytics and Data Science. You will work with transit agencies, the customer success team, finance, product, company executives, and engineers. You will enable all of them to get their data questions answered in a timely manner with a high accuracy.

Responsibilities:

  • Create and improve standardized metrics from foundational datasets using dbt models and AWS Glue jobs

  • Create and improve compelling data stories, visualizations and dashboards based on stakeholder and UX feedback

  • Create data reports that answer ad hoc requests from cross-functional teams for impact analyses, anomaly investigations and root cause analyses, etc.

  • Serve as first responder for data discrepancy and freshness issues.

  • Translate business questions into data requirements, acting as the interface between customer-facing teams and the data team.

  • Monitor data quality and completeness in data processing steps across multiple fleets, flagging issues and driving fixes.

  • Support data scientists by preparing datasets, performing exploratory analysis, and providing review and feedback on team analyses.

  • Communicate findings and recommendations clearly to both technical and non-technical stakeholders.

Required Qualifications:

  • Master's in Data Science, Statistics, Computer Science, Economics, Transportation Engineering, or a related field.

  • 6+ months of Data Science related work, projects or internships.

  • Strong SQL skills and experience working with data warehouse systems such as Amazon Redshift, Google BigQuery, or Snowflake.

  • Strong knowledge of Python for data manipulation and analysis (e.g., Pandas, NumPy).

  • Experience with dbt, AWS Glue, or similar data transformation and pipeline tools.

  • Experience building and maintaining dashboards in BI tools such as Tableau or Looker.

  • Solid understanding of descriptive statistics and ability to interpret analytical results.

  • Strong communication skills with the ability to present findings to both technical and business audiences.

Preferred Qualifications:

  • Previous experience working with geospatial analytics and spatial datasets.

  • Experience with large-scale time-series and mobility datasets (e.g., GTFS, GPS traces, transit logs).

  • Experience with Grafana or similar operational monitoring tools.

  • Exposure to cloud platforms, especially AWS.

  • Prior experience in a startup environment and a desire to make a significant impact.

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