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Phd Data Scientist Jobs (NOW HIRING)

Parafin, Inc

Data Scientist

San Francisco, CA · On-site

Our Team Enthusiasm, skepticism, and respect for data are in our DNA - two of our co-founders were PhD data scientists at Robinhood. Since our founding, we have grown the team to include perspectives ...

MM International

Data Scientist

New York, NY · Remote

PhD, MS, or BA/BS in statistics, biostatistics, computer science, data science, life science, or a related field. * Relevant clinical development experience (programming, RBM/RBQM, Data Management ...

Waymo

Data Scientist

San Diego, CA

Waymo data scientists work hand-in-hand with engineering teams at each stage of the software ... PhD in a quantitative field * Experience solving problems related to Autonomous Driving or Ride ...

Beth Page tech

Data Scientist

Houston, TX · On-site

Master's/PhD in Computer Science, Data Science, or equivalent experience * 4-7 years of industry experience working with real-world datasets * Experience with Agile Scrum development methodology * C# ...

Figma

Data Scientist, Core Data - PhD (2026)

Required : • PhD in a quantitative field (Statistics, Computer Science, Economics, Operations ... distributed data systems (e.g. Snowflake) through research or internships • Ability to ...

Xforia, Inc.

Data Scientist

This role will be responsible for data science and ML Ops on the Databricks platform. This role ... MS or PhD preferred) in computer science, engineering, statistics, mathematics, or related field ...

ZR Sandbox

Data Scientist

Boulder, CO · On-site

$130K - $160K/yr

THE TYPE OF CANDIDATE WE'RE LOOKING FORMaster's or PhD in Data Science, Statistics, or related field.5-8 years of data science experience.Expertise in Python, SQL, and machine learning frameworks.

Victory

Data Scientist

Austin, TX · On-site +1

MA or PhD degree in Computer Science, Engineering or other relevant area; graduate degree in Data Science or other quantitative field is preferred * Must be a U.S. Citizen Employment Type: FULL_TIME

Victory

Data Scientist

Austin, TX · On-site +1

MA or PhD degree in Computer Science, Engineering or other relevant area; graduate degree in Data Science or other quantitative field is preferred * Must be a U.S. Citizen

Aven

Data Scientist

Campbell, CA · On-site

We are seeking a seasoned Data Scientist to collaborate closely with cross-functional teams. Your ... A PhD or MS in a quantitative field (e.g., Engineering, Mathematics, Natural Sciences, or Economics)

VTG

Data Scientist

Chantilly, VA · On-site

Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field (PhD preferred for some roles) * 5+ years of experience in data science or a related field

Aven

Data Scientist

Campbell, CA · On-site

Required : • 5+ years of data science experience with a track record of thought leadership and innovation • A PhD or MS in a quantitative field (e.g., Engineering, Mathematics, Natural Sciences ...

Newton Research

Data Scientist

Boston, MA

$160K - $180K/yr

Master's or PhD in a quantitative field such as Mathematics, Physics, Computer Science, or a related discipline. * Strong foundation in data analysis, statistical modeling, and machine learning ...

Avenue Code, LLC

Data Scientist

Manhattan, NY · On-site

... or PhD in Computer Science, Statistics, Mathematics, or a related field 3+ years of experience in data science, machine learning, or a related field Strong understanding of statistical modeling ...

Aven

Data Scientist

Campbell, CA · On-site

Required : • 5+ years of data science experience with a track record of thought leadership and innovation • A PhD or MS in a quantitative field (e.g., Engineering, Mathematics, Natural Sciences ...

Amgen, Inc.

Data Scientist

MS or PhD in Statistics/Biostatistics, Mathematics, Computer Science, Data Science, Physics, Informatics, Life Sciences, or quantitative related field. * A proven ability to write robust code in R ...

Apple

Data Scientist

Cupertino, CA · On-site

Minimum Qualifications MS/PhD in Computer Science, Statistics, Physics, Operations Research, or similar quantitative domain 3+ years experience with data analysis at web scale or relevant work ...

Amgen

Data Scientist

MS or PhD in Statistics/Biostatistics, Mathematics, Computer Science, Data Science, Physics, Informatics, Life Sciences, or quantitative related field. * A proven ability to write robust code in R ...

Initial Therapeutics, Inc.

Data Scientist

Washington, DC · On-site

$120 - $170/hr

MS or PhD in Statistics/Biostatistics, Mathematics, Computer Science, Data Science, Physics, Informatics, Life Sciences, or quantitative related field. * A proven ability to write robust code in R ...

VT Group (VTG)

Data Scientist

Chantilly, VA · On-site

Required : • Active TS/SCI with Polygraph required. • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field (PhD preferred for some roles) • ...

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Phd Data Scientist information

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How much do phd data scientist jobs pay per year?

As of Aug 26, 2026, the average yearly pay for phd 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.

What is a PhD data scientist?

PhD Data Scientists are professionals who have earned a doctoral degree (PhD) in a relevant field, such as computer science, statistics, mathematics, or engineering, and work in roles focused on analyzing and interpreting complex data. They leverage advanced research skills, deep theoretical knowledge, and expertise in data modeling to solve challenging problems, build predictive models, and derive actionable insights for organizations. PhD Data Scientists often contribute to cutting-edge projects, publish research, and help bridge the gap between academic research and practical, real-world applications.

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

To thrive as a PhD Data Scientist, you need advanced expertise in statistics, machine learning, and data analysis, typically backed by a PhD in a quantitative field. Proficiency with programming languages like Python or R, experience with big data tools (e.g., Hadoop, Spark), and familiarity with cloud platforms and version control systems are commonly required. Strong problem-solving skills, communication abilities, and the capacity to explain complex concepts to non-technical stakeholders are crucial soft skills. These skills and qualities are essential for extracting actionable insights from complex datasets and driving data-informed decision-making in organizations.

What are some common challenges PhD data scientists face when transitioning from academia to industry roles?

PhD Data Scientists often encounter challenges when moving from academia to industry, such as adapting to faster project timelines, prioritizing business impact over exploratory research, and communicating complex findings to non-technical stakeholders. In industry, there is a greater emphasis on collaborative teamwork and delivering actionable insights that align with organizational goals. Building skills in agile development, stakeholder engagement, and product-focused thinking can help smooth the transition and ensure success in a corporate environment.

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

AspectPhd Data ScientistData Analyst
Required CredentialsPhD or Master's in Data Science, Statistics, or related fieldBachelor's or Master's in related field, often with certifications
Work EnvironmentResearch-focused, complex modeling, advanced analyticsBusiness reporting, data visualization, basic analysis
Employer & Industry UsageTech, academia, research institutions, large corporationsBusiness, marketing, finance, healthcare

Phd Data Scientists typically have advanced degrees and focus on complex modeling and research, while Data Analysts handle more straightforward data reporting and visualization tasks. Both roles are essential in data-driven organizations but differ in scope and expertise.

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Phd Data Scientist jobs near you
Infographic showing various Phd Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Data Scientist

San Francisco, CA • On-site

Parafin, Inc
See more jobs at Parafin, Incexternal

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted yesterday

Job description

About Us:
At Parafin, we're on a mission to grow small businesses.
Small businesses are the backbone of our economy, but traditional banks often don't have their backs. We build tech that makes it simple for small businesses to access the financial tools they need through the platforms they already sell on.
We partner with companies like DoorDash, Amazon, Worldpay, and Mindbody to offer fast and flexible funding, spend management, and savings tools to their small business users via a simple integration. Parafin takes on all the complexity of capital markets, underwriting, servicing, compliance, and customer service for our partners.
We're a tight-knit team of innovators hailing from Stripe, Square, Plaid, Coinbase, Robinhood, CERN, and more - all united by a passion for building tools that help small businesses succeed. Parafin is backed by prominent venture capitalists including GIC, Notable Capital, Redpoint Ventures, Ribbit Capital, and Thrive Capital. Parafin is a Series C company, and we have raised more than $194M in equity and $340M in debt facilities.
Join us in creating a future where every small business has the financial tools they need.
The Data Science Team
Our Impact
Data is core to Parafin's mission to grow small businesses. Our platform partnerships and portfolio provide rich insight into SMB financial health, allowing us to create fair, automated, and broad access to financial services. As Parafin scales, the breadth and depth of our data grows with it, amplifying the impact we can have on customers and the trajectory of the business.
Our Team
Enthusiasm, skepticism, and respect for data are in our DNA - two of our co-founders were PhD data scientists at Robinhood. Since our founding, we have grown the team to include perspectives from graduate studies in physics, mathematics, bioengineering, economics, financial engineering, and electrical engineering and professional experience at Robinhood, Uber, Lyft, Airbnb, Faire, Segment, Facebook, and Google. We value first-principles thinking, attention to detail, and craftsmanship.
Our Work
Our mission is to help Parafin succeed by leveraging the vast data that powers our platform. Our team partners closely with leaders across the company to drive impact. This role's scope includes:
Growth: We design experiments and analyses that expand access to capital while keeping the portfolio healthy. Example projects:
  • Designing experiments that navigate the tradeoff between growth and risk - expanding access to capital while keeping the portfolio healthy
  • Studying the full merchant lifecycle - first offer, repayment, repeat capital - to find where we can responsibly extend more
  • Modeling how a prospective partner's portfolio would perform on our platform, so we can size new opportunities before launching

Portfolio Monitoring & Servicing: We build models and tooling that forecast portfolio performance and measure the impact of our servicing efforts on merchant outcomes. Example projects:
  • Building and shipping ML models (XGBoost and friends) that forecast merchant repayment behavior - from feature engineering through production deployment - to inform how we price and size offers
  • Measuring whether our servicing actually works - how much balance we recover after reaching out to a struggling merchant, and what interventions move the needle

Infrastructure: We build the data pipelines, automated systems, and internal tools that let the rest of the company operate at scale. Example projects:
  • Building the data pipelines that power every analysis, dashboard, and ML model across the company
  • Automating processes - lien filings, KYC checks, fraud screens - using APIs, ML, and LLMs
  • Building internal tools - Streamlit apps, dashboards, Slack bots - that the rest of the company uses every day

Beyond these focus areas, our team helps expand our impact by recruiting exceptional talent, improving our tools, and supporting each other through regular seminars and project reviews.
About You
Your Impact
You will make an outsized impact on Parafin's trajectory by leading projects from end to end. You will quickly learn new methods, apply them across diverse areas of the business, and implement them robustly. You will develop expertise in specific areas of the business, but may tackle projects across domains as our priorities evolve.
Your Background and Skills
Bachelor's Degree (or higher) in Computer Science, Statistics, Mathematics, Data Science (or related fields). We believe the most effective data scientists bring the following skills to their work:
  • Statistical Reasoning
    • Approach data analysis with a critical, intellectually honest eye
    • Design concise metrics that guide decision making
    • Use robust causal inference methods
    • Develop valid and predictive machine learning models
  • Business Acumen
    • Identify and effectively prioritize business problems
    • Solve business problems using appropriate data science techniques
    • Anticipate the impact of your work on our financial performance, customers, and compliance obligations
  • Engineering Mindset
    • Write legible, reliable, and tested code
    • Build or source tools to boost the team's efficiency
    • Contribute to model and data infrastructure design
  • Leadership and Collaboration
    • Model Parafin's values of efficiency, intellectual honesty, accountability, and empathy
    • Build trusted relationships with stakeholders
    • Document work, seek feedback, and share learnings proactively
    • Mentor other DS members on the team
    • Management experience, a plus!
  • Focused Execution
    • Prioritize high-impact use of your time
    • Scope projects rigorously
    • Act with urgency
  • AI Tool Fluency
    • Rapidly learn and adopt emerging AI tools and workflows to accelerate analysis
    • Critically evaluate AI-generated outputs for accuracy and reliability

What We Offer
  • Salary:
    DS / Senior DS: $200k - $260k + EQ
    Staff/Principal: $265-330k + EQ
  • Equity grant
  • Medical, dental & vision insurance
  • Work from home flexibility
  • Unlimited PTO
  • Commuter benefits
  • Free lunches
  • Paid parental leave
  • 401(k)
  • Employee assistance program

If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please contact us.

Apply