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Data Scientist Startup Jobs (NOW HIRING)

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 Sustainment offers a competitive benefits ...

Spa Sway

Data Scientist

San Francisco, CA · On-site

Have experience building and shipping data products or models quickly but robustly, ideally in an early-stage startup context. * Hold a Bachelor's or Master's degree in Data Science, Statistics ...

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 Sustainment offers a competitive benefits ...

Highbeam, Inc

Data Scientist

New York, NY · On-site

$200K - $225K/yr

This role blends data science, customer analytics, financial analysis, and market insights to ... Chance to join the founding team of a well-funded startup chasing a huge opportunity * Competitive ...

Flexcar

Risk Data Scientist

Boston, MA · On-site

They are seeking a Risk Data Scientist to manage model-driven approaches to credit, accident, and ... startup or high-growth environment where the work is broad and the tooling is still evolving ...

Inspiren

Senior Data Scientist

They are seeking a Senior Data Scientist to build models and statistical analyses that drive ... startup where your work directly shapes care outcomes Preferred : • Experience working on ...

Findigs

Data Scientist

New York, NY · Hybrid

$160K - $185K/yr

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

Shift5

$120K - $170K/yr

Shift5 is seeking an Applied Data Scientist to join our growing Data Science team. In this role ... Bonus program and equity in a fast-growing startup * Competitive medical, dental, and vision ...

Findigs

Data Scientist

New York, NY · Hybrid

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

Findigs

Data Scientist

New York, NY · On-site

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

Shift5

Applied Data Scientist

Arlington, VA · On-site +1

$120K - $170K/yr

Shift5 is seeking an Applied Data Scientist to join our growing Data Science team. In this role ... Bonus program and equity in a fast-growing startup * Competitive medical, dental, and vision ...

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 ...

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 ...

Junction

Data Scientist

New York, NY · On-site +1

$180K - $220K/yr

We're hiring our first Data Scientist to take ownership of, and establish that standard. This role ... Comfort operating in a startup environment with ambiguity, limited structure, and high ownership ...

Quantifind

Associate Data Scientist

$60K - $60K/yr

They are seeking an Associate Data Scientist to collaborate with teams to analyze large datasets, train machine learning models, and implement solutions in a fast-paced startup environment.

Capital One

Manager, Data Scientist

Richmond, VA

As a startup, we disrupted the credit card industry by individually personalizing every credit card ... As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of ...

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All JobsData Scientist Startup Jobs

Data Scientist Startup information

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$122.7K

$196.5K

How much do data scientist startup jobs pay per year?

As of Jul 13, 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

Data Scientist

Sustainment

Austin, TX • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 5 days ago

Job description

Company Overview: Sustainment is an AI-native software platform that helps US-based manufacturers easily find and work with the critical suppliers they need to build and manage their supply chains. Our vision is to reimagine American manufacturing as a hyperconnected, secure, and resilient ecosystem of local and regional suppliers who can more easily connect, interact, and do business with the industry and government customers that rely on them. We are a dual-use technology platform that supports both DoD and commercial customers in pursuit of our vision.
CLEARANCE REQUIREMENT: Candidates must be eligible to obtain and maintain a U.S. Secret or Top Secret security clearance. This is a non-negotiable, hard requirement driven by our Department of War contractor obligations. Candidates who are not eligible will not be considered for this role.
Job Overview:
Sustainment is scaling fast. Our engineering team has grown significantly and our delivery surface spans commercial SaaS product development and government-funded R&D programs - including work supporting the U.S. Department of War.
We are looking for a Data Scientist who operates at the frontier of that data: collecting it, making sense of it when it's messy and unstructured, building models that drive product and business decisions, and owning high-impact analytics end-to-end. This role lives at the intersection of data science and data strategy. You're equally comfortable wrangling real-world data as you are designing experiments, building predictive models, and working with others to deploy data driven Machine Learning systems.
The ideal candidate gets excited by ambiguous, real-world data problems, wants to learn the business context behind them, and can zoom out from a dataset to ask: "what should we be collecting, modeling, and why?" You'll work across Product, Engineering, and Operations to expand what Sustainment knows about the U.S. industrial base and translate that knowledge into outcomes.
What you'll own:
  • Lead end-to-end data heavy projects through product, growth, operations, and customer experience; from problem framing through deployment and measurement
  • Identify, evaluate, and connect to new sources of unstructured and semi-structured data relevant to U.S. manufacturing
  • Build and maintain reporting pipelines and dashboards that translate raw data into clear analytics for stakeholders
  • Design and analyze experiments including A/B testing, causal inference, and uplift analysis
  • Develop scalable datasets, metrics, and analytical frameworks
  • Develop and document data collection strategies and thinking systematically about coverage, quality, and freshness across Sustainment's data assets
  • Apply AI-assisted workflows to enrich, normalize, and classify unstructured data
  • Partner with Product and Engineering to operationalize models, software, and insights
  • Collaborate with product and engineering to tie data quality directly to product outcomes: match rates, recommendation precision, and profile completeness
  • Maintain and improve Sustainment's data quality standards by identifying gaps and driving enrichment initiatives
  • Mentor junior and mid-level data practitioners and help shape data quality, governance, and experimentation best practices
  • Present findings and recommendations to cross-functional stakeholders and produce strategy documents that inform quarterly prioritization

What we're looking for:
  • [REQUIRED] Must be eligible to obtain and maintain a U.S. Secret or Top Secret security clearance
  • 4+ years of experience in Data Science, Applied ML, Analytics, or a related data-focused role
  • Strong proficiency in Python and SQL
  • Demonstrated experience working with unstructured or semi-structured data
  • Experience with experimentation, statistical analysis, and predictive modeling
  • Comfortable building dashboards and reporting layers
  • Active user of AI tools (Claude, ChatGPT, or similar) for data workflows
  • Familiarity with production ML systems and modern data tooling
  • Business intuition with the ability to connect analysis to outcomes and ask strategic questions about data coverage, quality, and collection
  • Experience working cross-functionally with Product and Engineering teams

Nice to have:
  • Background in or adjacent to manufacturing, defense, aerospace, or industrial sectors (strong preference)
  • Experience with NLP, entity resolution, or AI-assisted classification pipelines
  • Exposure to vector databases or semantic search concepts
  • Experience with LLMs or Generative AI applications
  • Familiarity with modern cloud and data platforms (Snowflake, Databricks, AWS, GCP)
  • Experience building self-serve analytics or experimentation platforms
  • Experience working in a Series A/B startup environment

Sustainment offers a competitive benefits package for full time employees including medical, dental, vision, paid time off, company holidays, and 401K matching.
Sustainment is proud to be an equal opportunity employer. We provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, veteran status, or any other protected class.
Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.
Sustainment participates in E-Verify.

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