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Data Scientist Startup Jobs (NOW HIRING)

Embedding VC

Data Scientist

Redwood City, CA · On-site

First Data Scientist hire in the US - set the bar, shape the function, and build the foundation of ... Experience as the first or early DS hire at a startup * Experience working with consumer products ...

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 ...

PhaseV

Senior Data Scientist

Boston, 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 ...

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 ...

Imran Yousuf

Data Scientist

San Francisco, CA · On-site

We are seeking a commercially-minded Data Scientist to join our team. In this role, you will have ... Grit and energy to thrive in an early-stage startup environment. While expertise in all the ...

Sustainment

Data Scientist

Austin, TX · On-site

We are looking for a Data Scientist who operates at the frontier of that data: collecting it ... Experience working in a Series A/B startup environment

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 ...

Air

Data Scientist

Pittsburgh, PA

Your role on the Data Science team will be primarily focused on our large datasets, and you will ... Experience in or exposure to the nuances of a startup or other entrepreneurial environment

Prodege LLC

Senior Data Scientist

El Segundo, CA

We operate with startup speed and a startup appetite for change, backed by the resources of a major investment partner. The must-haves: * Bachelor's or Master's in Statistics, Economics, Data Science ...

Prodege LLC

Senior Data Scientist

El Segundo, CA · On-site +1

We operate with startup speed and a startup appetite for change, backed by the resources of a major investment partner. The must-haves: * Bachelor's or Master's in Statistics, Economics, Data Science ...

SAIC

Data Scientist

Mclean, VA

$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 ...

Air

Data Scientist

Pittsburgh, PA · On-site

Your role on the Data Science team will be primarily focused on our large datasets, and you will ... Experience in or exposure to the nuances of a startup or other entrepreneurial environment

AllyNd Partners

Sr. Data Scientist

New York, NY · Remote

About AllyNds Client This client is a mission-driven FinTech startup democratizing credit with ... Were seeking a Senior Data Scientist who thrives in high-autonomy environments and wants to build ...

Terzo

Data Scientist

OR · On-site +1

Data Scientist - Product Location : US Level : Senior Individual Contributor Team : Engineering ... Prior work at a high-growth startup or enterprise AI company * An MS or PhD in a quantitative field ...

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 ...

Partiful

Data Scientist

New York, NY · On-site

$150K - $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 ...

Knit Health

Senior Data Scientist

San Francisco, CA

$140K - $175K/yr

As a senior member of our growing data science team, you will lead the design, curation, and ... Prior work in a startup or high-growth environment. Salary Range Knit Health offers a competitive ...

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All JobsData Scientist Startup Jobs

Data Scientist Startup information

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How much do data scientist startup jobs pay per year?

As of Jul 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 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.

What are the key skills and qualifications needed to thrive as a Data Scientist in a startup, and why are they important?

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.
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 job categories do people searching Data Scientist Startup jobs look for? The top searched job categories for Data Scientist Startup jobs are:
Data Scientist Startup jobs near you
Infographic showing various Data Scientist Startup job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data Scientist

Embedding VC

Redwood City, CA • On-site

Full-time

Re-posted 8 days ago

Job description

About OpenArt
OpenArt is an AI Storytelling and Visual Creation Platform used by millions worldwide. We're building the next generation of creative tools powered by cutting-edge AI, enabling anyone to create videos, visuals, characters, and stories with unprecedented speed and imagination. We believe the future of creativity is AI-native, and we're shaping that future.
Why Join OpenArt
  • First Data Scientist hire in the US - set the bar, shape the function, and build the foundation of OpenArt's data science practice.
  • Direct impact on product strategy - your work shapes what we build, how we prioritize, and how we measure success.
  • Work across product, engineering, data, marketing, and finance - one of the most cross-functional roles in the company.
  • Build from 0 → 1 - define how we use data to drive product decisions at OpenArt.
  • High ownership, low process, fast iteration environment.
  • 7-10X revenue growth over the past 2 years - now scaling our data and analytics infrastructure to match.
About the Role
We're looking for a Data Scientist to be our first DS hire in the US (we have a Data Analyst based in Shenzhen) and help build OpenArt's data science function from the ground up.
This role sits at the intersection of product, analytics, and experimentation - focused on turning data into product decisions that move the needle for millions of creators.
You'll work closely with cross-functional teams including Product, Engineering, Data Engineering, Marketing, and Finance. By applying your technical skills, analytical mindset, and product intuition, you will help our customers improve their creative experience and help OpenArt identify and solve product development's biggest challenges.
What You'll Do
  • Product leadership: use data to shape product development, quantify new opportunities, set goals, identify upcoming challenges, and ensure the products we build bring value to our customers.
  • Analytics: develop hypotheses and employ a diverse toolkit of rigorous analytical approaches - different methodologies, frameworks, and technical techniques - to test them.
  • Experimentation: design, run, and analyze A/B tests and other causal experiments; help establish the experimentation culture and standards across the company.
  • Metrics and measurement: define and own key product metrics, build dashboards, and ensure leaders and teams have accurate, trusted data to make decisions.
  • User and behavioral analysis: deep-dive into how users create, share, and engage on OpenArt to surface insights that drive retention, engagement, and monetization.
  • Communication and influence: convince and influence your partners by telling clear data stories - translate complex analyses into crisp recommendations for PMs, engineers, and execs.
  • Cross-functional partnership: collaborate with Data Engineering on instrumentation and pipelines, with Product/Eng on feature design and measurement, and with Marketing/Finance on growth and revenue analytics.
  • Build the function: establish DS best practices, mentor over time, and help shape the team as it grows.
What We're Looking For
Core Requirements
  • Bachelor's or above in a quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field
  • Minimum 3 years of work experience in analytics or data science
  • Expert SQL and strong Python skills
  • Deep understanding of statistical analysis, experimentation design, and common analytical techniques such as regression and decision trees
  • Strong product intuition - able to connect numbers to user behavior and product decisions
  • Strong verbal and written communication skills; able to tell clear data stories to both technical and non-technical audiences
  • A humble, collaborative, can-do attitude and natural curiosity
  • High ownership, fast execution, and strong attention to detail

Nice to Have
  • Experience as the first or early DS hire at a startup
  • Experience working with consumer products, marketplaces, or creator/UGC platforms
  • Familiarity with experimentation platforms and causal inference methods
  • Experience with BigQuery, Amplitude, Metabase, or similar tools in data stack
  • Experience partnering with marketing/growth teams (LTV, retention, funnel analysis)
  • Exposure to AI/ML products or generative AI
  • Comfort working across time zones with a globally distributed team
Tech Stack You'll Work With
BigQuery, SQL, Python, Amplitude, Metabase, Stripe, GCP
Compensation
  • Competitive base salary and bonus program
  • Equity - meaningful ownership in what you build
  • High autonomy, high growth environment
Work Setup
  • Bay Area preferred (hybrid allowed)
  • Visa sponsorship available
  • We'll consider remote

Apply