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Analytics Data Scientist Jobs (NOW HIRING)

Extend

Lead Risk Analytics Data Scientist

You'll join our centralized Risk, Analytics & Data Science team at Extend, where you'll play an essential role in the risk monitoring process for our product protection and shipping protection ...

Inizio Partners

Senior Data Scientist

New York, NY

$130K - $140K/yr

The primary responsibility of this role is to leverage your expertise in analytics, data science, machine learning and AI to empower the client in making informed business decisions. You will work ...

Tech-Marine Business Inc

Data Scientist

Washington, DC · On-site

$70K - $90K/yr

The Data Scientist will support data analytics activities for the NAVSEA Director for Surface Ship Maintenance, Modernization, and Sustainment (SEA 21). * This role is focused on leveraging advanced ...

Lincare

Data Scientist

Clearwater, FL

The Data Scientist is primarily responsible for supporting/leading AI-driven initiatives that will ... The individual will be conducting prescriptive,predictive and informational analytics to identify ...

OPS Consulting, LLC

Data Scientist

Laurel, MD · On-site

They are looking for a Data Scientist to extract insights from large datasets, applying mathematical and statistical expertise to analyze data and communicate findings effectively. Responsibilities ...

Brewer Science, Inc.

Data Scientist

Rolla, MO · On-site

Analyze large datasets to generate insights and identify patterns, working under guidance from senior data scientists. * Communicate data findings and suggest potential improvements to analyses and ...

APS

Data Scientist / Data Scientist, Senior

Phoenix, AZ · On-site

Possesses a combination of strong analytical and problem-solving skills and programming knowledge, or an equivalent combination of education and experience with demonstrated comparable knowledge and ...

Brewer Science Inc.

Data Scientist

Rolla, MO · On-site

Analyze large datasets to generate insights and identify patterns, working under guidance from senior data scientists. * Communicate data findings and suggest potential improvements to analyses and ...

Prescient Edge

Senior Data Scientist

Herndon, VA · On-site

Conduct data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis, and uses scientific techniques to correlate data into graphical, written ...

VTG

Data Scientist

Mclean, VA

Overview VTG is seeking a talented and experienced Data Scientist to join our dynamic and ... Collect, clean, and analyze large, complex datasets from multiple sources. * Develop and implement ...

Elder Research

Data Scientist

Raleigh, NC · On-site +1

Data Scientist General Information Requisition # 694 Locations USA-VA-Arlington OR USA-NC-Raleigh ... The focus is on leveraging advanced analytical methods to turn ambiguous business challenges into ...

Elder Research

Data Scientist

Arlington, VA · On-site

Data Scientist General Information Requisition # 674 Locations USA-VA-Arlington Posting Date 03/04 ... Demonstrated experience using Python, SQL, and Databricks for data analysis, modeling, statistical ...

Elder Research

Data Scientist

Arlington, VA · On-site

Data Scientist General Information Requisition # 674 Locations USA-VA-Arlington Posting Date 03/04 ... Demonstrated experience using Python, SQL, and Databricks for data analysis, modeling, statistical ...

Revenue Analytics

Data Scientist

Atlanta, GA · Remote

Data Scientist Revenue Analytics is a SaaS company that helps companies make better revenue decisions in pricing, products, and promotions. Our analytics solutions drive measurable revenue uplift and ...

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Analytics Data Scientist information

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How much do analytics data scientist jobs pay per year?

As of Jun 28, 2026, the average yearly pay for analytics data scientist 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 are the key skills and qualifications needed to thrive as an Analytics Data Scientist, and why are they important?

To thrive as an Analytics Data Scientist, you need a strong foundation in statistical analysis, data modeling, and programming languages such as Python or R, usually backed by a degree in a quantitative field. Proficiency with tools like SQL, machine learning frameworks (e.g., scikit-learn, TensorFlow), and data visualization platforms like Tableau is expected. Critical thinking, effective communication, and problem-solving skills help you translate complex data insights into actionable business recommendations. These competencies are essential for driving data-driven decisions that support organizational objectives and innovation.

What does an Analytics Data Scientist do?

An Analytics Data Scientist uses data analysis, statistical modeling, and machine learning techniques to help organizations extract insights from large datasets. They identify trends, create predictive models, and provide actionable recommendations to improve business outcomes. Their work involves cleaning and processing data, developing algorithms, and presenting findings to stakeholders in a clear and concise manner.

How does an Analytics Data Scientist typically collaborate with stakeholders across different departments?

Analytics Data Scientists frequently work closely with cross-functional teams, including business analysts, product managers, and IT professionals. They translate complex data findings into actionable insights tailored to each department's goals. Regular communication is essential, as they often present data-driven recommendations to non-technical audiences and adjust their analyses based on stakeholder feedback. This collaborative environment helps ensure that data-driven strategies align with business objectives and drive measurable impact.

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

AspectAnalytics Data ScientistData Analyst
Required SkillsStatistical analysis, machine learning, programming (Python, R)Data visualization, SQL, basic statistics
Work EnvironmentAdvanced analytics, predictive modeling, data science projectsReporting, data cleaning, descriptive analysis
Common EmployersTech companies, finance, healthcareRetail, marketing, business services

While both roles analyze data to support business decisions, Analytics Data Scientists focus on building predictive models and advanced analytics, whereas Data Analysts primarily handle data reporting and descriptive analysis. The roles often overlap but differ in complexity and technical depth.

More about Analytics Data Scientist jobs
What cities are hiring for Analytics Data Scientist jobs? Cities with the most Analytics Data Scientist job openings:
What job categories do people searching Analytics Data Scientist jobs look for? The top searched job categories for Analytics Data Scientist jobs are:
Analytics Data Scientist jobs near you
Infographic showing various Analytics Data Scientist job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 95% Full Time, 1% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Lead Risk Analytics Data Scientist

Lead Risk Analytics Data Scientist

Extend

Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 16 days ago

Job description

About Extend:
Extend is revolutionizing the post-purchase experience for retailers and their customers by providing merchants with AI-driven solutions that enhance customer satisfaction and drive revenue growth. Our comprehensive platform offers automated customer service handling, seamless returns/exchange management, end-to-end automated fulfillment, and product protection and shipping protection alongside Extend's best-in-class fraud detection. By integrating leading-edge technology with exceptional customer service, Extend empowers businesses to build trust and loyalty among consumers while reducing costs and increasing profits.
Today, Extend works with more than 1,000 leading merchant partners across industries, including fashion/apparel, cosmetics, furniture, jewelry, consumer electronics, auto parts, sports and fitness, and much more. Extend is backed by some of the most prominent technology investors in the industry, and our headquarters is in downtown San Francisco.
About the Role:
You'll join our centralized Risk, Analytics & Data Science team at Extend, where you'll play an essential role in the risk monitoring process for our product protection and shipping protection offerings. You will collaborate with cross-functional teams to help Extend maintain a healthy loss ratio through premium changes, underwriting process and claims initiatives. A great opportunity to convert your analytics expertise into business impact by supporting measurement of unit economics to feed strong business decisions.
You will also be partnering with the cross functional teams (Product / Program, Revenue / Sales, etc.) to develop appropriate premiums for new coverages and product categories. This isn't a "maintain the existing model" role. You'll be involved from the moment a new merchant deal is being negotiated, through program design, all the way to launch.
You also have the opportunity to take ownership of data architecture for the Risk Analytics function. We've invested heavily in modern data infrastructure and AI tooling, and we want someone who's excited to actually use them. If you enjoy autonomy and the freedom to build your own pricing infrastructure, you'll thrive on our team.
If you enjoy working with data and analytical tools / models and have always wanted to get more involved on the business side - this role is for you.
What You Will Be Doing:
As a core member of the Risk Analytics function of Extend, you will
  • Price deals no one has priced before. Every time Extend enters a new merchant category, such as a new product type, a new vertical, or a partnership being negotiated right now, there's no existing model to hand you. You'll design the premium structure from first principles, figure out how to validate it when the data is thin, and own it through launch. The work is genuinely unsolved, and the decisions are yours to make.
  • Turn a monitoring function into a decision engine. We know what our loss ratios are. What leadership needs is to know what to do about them: which claims initiatives to pursue, which premiums to adjust, which programs to renegotiate. You'll build the tooling that makes that call possible, and you'll be the person making the recommendation.
  • Own the risk narrative with senior leadership. When the loss ratio moves, you're the one who explains why and what comes next, to an audience that includes the C-suite. If you've wanted more visibility than your current role gives you, this one puts you in that room.
  • Build the data foundation for Risk Analytics - and make it yours. We have dbt and Snowflake. What we don't have is a fully built Risk Analytics layer sitting on top of it. You'll design the data models, set the standards, and shape how this function works for the next several years. If you've ever inherited an architecture you wished you could rebuild from scratch, this is the rare opportunity to build it right the first time.
  • Actually use AI to change how the team works. Not as a buzzword, but as a working practice. We use Claude heavily. For this role, that means finding the places in the risk analytics workflow where a manual step shouldn't be manual, automating it, and raising the floor on what the team can produce. You'll have latitude to experiment and the expectation that you will.
What We're Looking For:
  • Strong analytical and data skills spanning SQL, Python or R, pipeline development and data modeling (dbt, Snowflake), and visualization tools such as Tableau or Streamlit.
  • 5+ years of experience working on actuarial pricing, predictive modeling or other Risk Analytics related areas
  • Ability to dive deep into data and communicate insights to audiences of all backgrounds, especially to teams with less data & analytics experience
  • Relevant Actuarial experience (such as Associate of the Casualty Actuarial Society (ACAS) or equivalent exam experience) preferred but not required
  • Excited and passionate about the new AI tools (Claude, Gemini, etc.) and eager to learn how that can help improve our day-to-day efficiency
  • Bachelor's degree in Actuarial Science, Mathematics, Statistics, or a related field
  • Ability and interest in thinking beyond the insurance organization, considering the challenges of other teams, and prioritizing what is best for the business holistically, is essential
  • Empathy, humility, and curiosity

Expected Pay Range: $125,000 - $155,000 per year salaried*
* The target base salary range for this position is listed above. Individual salaries are determined based on a number of factors including, but not limited to, job-related knowledge, skills and experience.
Life at Extend:
  • Working with a great team from diverse backgrounds in a collaborative and supportive environment.
  • Competitive salary based on experience, with full medical and dental & vision benefits.
  • Stock in an early-stage startup growing quickly.
  • Generous, flexible paid time off policy.
  • 401(k) with Financial Guidance from Morgan Stanley.

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