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Head Data Scientist Jobs (NOW HIRING)

Novella

Insurance Data Scientist

New York, NY · On-site

Partner with our Head of Programs teams to translate model outputs into actionable underwriting ... What We're Looking For * 7+ years in data science or actuarial science, with significant time spent ...

inTALENTgent

Data Scientist

Herndon, VA · On-site

The candidate will work with a team of software developers and data scientists to refine the new baseline of analytic tools and build out new tools on a routinized production cadence to meet the ...

Perpay Inc.

Data Scientist Manager

Philadelphia, PA · On-site

... Head of Data and the leads of Data Engineering and Strategic Analytics on broader org direction. • Teach about healthy data science team culture and trustworthy modeling. • Defend design ...

Isys Technologies

SME Data Scientist

NE · On-site

I2X Technologies is seeking a Data Scientist Job Duties: Our team needs a full-time AI/ML Engineer ... kneeling, reaching above the head, and forward motion will be required. The employee will ...

Isys Technologies

SME Data Scientist

NE

$140K - $160K/yr

I2X Technologies is seeking a Data Scientist Job Duties: Our team needs a full-time AI/ML Engineer ... kneeling, reaching above the head, and forward motion will be required. The employee will ...

Isys Technologies

SME Data Scientist

NE · On-site

I2X Technologies is seeking a Data Scientist Job Duties: Our team needs a full-time AI/ML Engineer ... kneeling, reaching above the head, and forward motion will be required. The employee will ...

Isys Technologies

SME Data Scientist

NE · On-site

$140K - $160K/yr

I2X Technologies is seeking a Data Scientist Job Duties: Our team needs a full-time AI/ML Engineer ... kneeling, reaching above the head, and forward motion will be required. The employee will ...

PROPRIUS

Director Data Science

San Francisco, CA

The head of this new Data Science division will be expected to solve classic e-commerce problems; targeted advertising and marketing, recommendation systems, behavioral analytics and customer ...

Socket.dev

Data Scientist - eCommerce

San Antonio, TX · On-site

$120 - $180/hr

As a Senior Data Scientist, your archetype is a Business Decision Scientist. Your passions include ... HEAD FOR BUSINESS... skills to serve as technical lead to support decision-making for complex cross ...

Octagon Talent

Head of Data Science

Fort Lauderdale, FL · On-site

We are seeking a Head of Data Science to lead a growing team of full-stack data scientists responsible for developing production-grade models that identify fraudsters and expand the company's suite ...

ABB

Data Scientist - People Analytics

Dallas, NC · Hybrid

Head of HR Experience and Operations What we believe in ABB is a worldwide provider of ... Your role and responsibilities As part of the People Analytics team, the Data Scientist will ...

HEB

Data Scientist - Demand Forecasting

San Antonio, TX · On-site

$158K/yr

HEAD FOR BUSINESS... skills to serve as technical lead to support decision-making for complex cross ... Data Scientist at H-E-B? - Technical knowledge in programming languages: SQL, R, Python, Scala ...

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Head Data Scientist information

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How much do head data scientist jobs pay per year?

As of Aug 10, 2026, the average yearly pay for head 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.

How does a head data scientist typically balance hands-on technical work with leadership responsibilities?

As a Head Data Scientist, you'll often split your time between high-level strategy, team leadership, and advanced technical problem-solving. While you'll guide project direction, mentor junior scientists, and collaborate with stakeholders, you'll also be expected to stay engaged with the latest analytical techniques and occasionally contribute directly to model development or code reviews. Striking this balance requires excellent time management and the ability to delegate effectively while ensuring technical standards remain high. Regular communication with both your team and other departments is essential to align data initiatives with business goals.

What is the difference between Head Data Scientist vs Data Scientist?

AspectHead Data ScientistData Scientist
CredentialsMaster's or PhD in Data Science, Statistics, or related fieldsBachelor's or Master's in relevant fields
Work EnvironmentLeads teams, strategic planning, oversees projectsExecutes data analysis, builds models, reports findings
Industry UsageCommonly found in organizations with large data teamsWidespread across industries for data analysis roles

The Head Data Scientist focuses on leadership, strategy, and overseeing data initiatives, while the Data Scientist primarily handles hands-on data analysis and modeling. Both roles require strong technical skills, but the Head Data Scientist has additional responsibilities in team management and strategic planning.

What is a head data scientist?

Head Data Scientists are senior professionals who lead data science teams in analyzing large datasets to extract insights, drive decision-making, and solve complex business problems. They set the strategic direction for data science initiatives, collaborate with other departments, and ensure that data-driven solutions align with organizational goals. In addition to overseeing technical work, they also mentor team members, manage projects, and often communicate findings to executive leadership.

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

A Head Data Scientist needs deep expertise in statistics, machine learning, and data analytics, typically supported by an advanced degree in a quantitative field. Proficiency with programming languages such as Python or R, cloud platforms, big data tools, and experience leading data science projects are crucial. Strong leadership, strategic thinking, and communication skills help guide teams and align data initiatives with business goals. These competencies ensure effective team management, innovative solutions, and measurable business impact from data-driven strategies.
More about Head Data Scientist jobs
What cities are hiring for Head Data Scientist jobs? Cities with the most Head Data Scientist job openings:
What are the most commonly searched types of Data Scientist jobs? The most popular types of Data Scientist jobs are:
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What job categories do people searching Head Data Scientist jobs look for? The top searched job categories for Head Data Scientist jobs are:
Head Data Scientist jobs near you
Infographic showing various Head Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Insurance Data Scientist

Novella

New York, NY • On-site

Full-time

Re-posted 28 days ago

Job description

Novella is the first AI native insurance brokerage protecting the largest, most complicated physical assets in the world. Whether it's sky scrapers on the Miami coast exposed to hurricanes, or rockets going to Mars - Novella's specialty AI agents are trained to help insurance brokers find coverage for their highest-risk customers.
These high-risk customers are part of a $150 Billion per year market segment called Excess and Surplus (E&S) Insurance. Today, all $150B of E&S premium is sold manually by humans working with humans. Novella is the first brokerage building AI agents that know how to protect these high-risk assets more accurately and more efficiently.
The Role
We're seeking a Senior Insurance Data Scientist to build the pricing and underwriting models that will power Novella's next generation of E&S products. This is a senior, hands-on role. We need someone who has done this before and can hit the ground running.
You'll work with historical bind and loss data to build models that help us price risk accurately, identify profitable segments, and give our underwriting team a data-driven edge. You understand the nuances of insurance data - how messy it is, what signals matter, and how to turn loss and submission data into models that actually work in production.
The ideal candidate has built pricing or underwriting models at an insurance company, MGA, or insurtech. You've seen what good looks like and you know how to get there without a team of 50 people. You're comfortable working with imperfect data, iterating quickly, and deploying models that drive real underwriting decisions.
The Day to Day
  • Build and refine pricing models using historical bind, quote, and loss data across commercial property and general liability lines.
  • Develop underwriting scoring models that help our team assess risk quality and identify profitable opportunities.
  • Use historical quote data to build a model that predicts pricing for the carrier we transact with.
  • Partner with our Head of Programs teams to translate model outputs into actionable underwriting guidelines for Novella Programs.
  • Continuously monitor model performance and recalibrate as our book grows and new data becomes available.

What We're Looking For
  • 7+ years in data science or actuarial science, with significant time spent building pricing or underwriting models in P&C insurance.
  • Hands-on experience with insurance loss data, loss development, exposure analysis, and rate adequacy.
  • Experience building models that have been deployed in production and used to make real underwriting or pricing decisions.
  • Experience building underwriting or pricing models from scratch - not just maintained legacy systems.
  • Understanding of E&S or specialty P&C is a strong plus.

Apply