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Data Science Engineer Jobs in New Jersey (NOW HIRING)

SageSure

Director Data Science

Jersey City, NJ · On-site

Partner with senior leaders across Product, Engineering, Program, and Operations to understand business needs and translate them into a cohesive Data Science strategy and roadmap. * Influence and ...

FanDuel

Data Science Manager

Jersey City, NJ · On-site

Minimum of 5 years' of industry experience in data science, analytics or engineering preferred * Bachelor's Degree in a highly numerate major (Math, Stats, Econ, etc.) or relevant experience in data ...

FanDuel

Data Science Manager

Jersey City, NJ · On-site

Minimum of 5 years' of industry experience in data science, analytics or engineering preferred * Bachelor's Degree in a highly numerate major (Math, Stats, Econ, etc.) or relevant experience in data ...

FanDuel

Data Science Manager

Jersey City, NJ · On-site

Minimum of 5 years' of industry experience in data science, analytics or engineering preferred * Bachelor's Degree in a highly numerate major (Math, Stats, Econ, etc.) or relevant experience in data ...

Tranzact

Head of Data Science

Fort Lee, NJ · On-site

Our diverse team of analysts, writers, engineers, designers, business leads, data scientists and sales professionals all work together to create thoughtful, data-driven and effective marketing ...

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Data Science Engineer information

See New Jersey salary details

$45.2K

$131.7K

$180.2K

How much do data science engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for data science engineer in New Jersey is $131,693.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,200.00 and $139,600.00 per year, depending on experience, location, and employer.

What is a data science engineer?

A Data Science Engineer is a professional who bridges the gap between data science and software engineering. They focus on designing, building, and maintaining scalable data pipelines, infrastructure, and machine learning models for production use. Their role involves data preprocessing, model deployment, performance optimization, and integrating AI solutions into applications. They work closely with data scientists, software engineers, and DevOps teams to ensure efficient data workflows.

What are the typical daily responsibilities of a data science engineer?

Data Science Engineers typically spend their days designing and building data pipelines, preparing and cleaning large datasets, and developing machine learning models to solve business problems. They work closely with data scientists, software engineers, and business stakeholders to translate requirements into scalable technical solutions. Responsibilities also include deploying models to production, monitoring their performance, and iterating on solutions based on feedback. This role offers a dynamic mix of coding, data analysis, and teamwork, making each day varied and intellectually engaging.

What are the key skills and qualifications needed to thrive in the data science engineer position, and why are they important?

A Data Science Engineer should have a strong background in statistics, machine learning, programming (typically Python or R), and data engineering, often supported by a degree in computer science, engineering, or a related field. Familiarity with data processing frameworks (like Spark or Hadoop), cloud platforms (AWS, GCP, or Azure), and certifications in data science or cloud technology are highly valued. Excellent problem-solving skills, communication abilities, and collaboration are essential soft skills for working effectively in cross-functional teams. These competencies enable Data Science Engineers to build scalable data solutions, deliver actionable insights, and drive business impact.

What does a data science engineer do?

A data science engineer designs, develops, and maintains data pipelines and infrastructure to support data analysis and machine learning models. They work with large datasets, use programming languages like Python or Scala, and often collaborate with data scientists and software engineers to implement scalable data solutions.

What are popular job titles related to Data Science Engineer jobs in New Jersey?

For Data Science Engineer jobs in New Jersey, the most frequently searched job titles are:

What job categories do people searching Data Science Engineer jobs in New Jersey look for?

The top searched job categories for Data Science Engineer jobs in New Jersey are:

Data Science Engineer jobs near you
Infographic showing various Data Science Engineer job openings in New Jersey as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $131,693 per year, or $63.3 per hour.

Director Data Science

SageSure

Jersey City, NJ • On-site

Full-time

Posted 16 days ago

Job description

Overview:
If you're looking for the stability of a profitable, growing company with the entrepreneurial spirit of a startup, we're hiring. SageSure, a leader in catastrophe-exposed property insurance, is seeking a Director, Data Science. In this role, you will lead a team of data scientists in solving some of the most complex and high-impact challenges in the business. You will guide the development of advanced analytics, AI, and machine learning solutions while shaping strategy, influencing cross-functional decision-making, and building scalable processes that mature SageSure's data capabilities.
We are looking for a highly motivated, strategically minded, and innovative leader who thrives in both ambiguity and complexity-someone who can elevate team performance, collaborate across the organization, and set a vision for the future of Data Science at SageSure.
What you'd be doing:
  • Partner with senior leaders across Product, Engineering, Program, and Operations to understand business needs and translate them into a cohesive Data Science strategy and roadmap.
  • Influence and align stakeholders by articulating clear priorities, trade-offs, and expected outcomes; ensure downstream teams have full context to execute effectively.
  • Foster a culture of accountability, collaboration, and continuous improvement across the team and cross-functional partners.
  • Lead, mentor, and develop a high-performing team of data scientists; provide coaching, career development, and structured feedback while ensuring clarity of expectations.
  • Build strong team health by promoting inclusion, psychological safety, and a values-driven culture.
  • Ensure the team structure, processes, and operating rhythms support long-term scalability and organizational needs.
  • Oversee the design, development, and deployment of machine learning models and advanced analytics solutions that drive business impact, improve operational efficiency, and strengthen decision-making.
  • Champion experimentation, innovation, and responsible use of AI; ensure solutions adhere to best practices in model governance, data ethics, and performance monitoring.
  • Translate complex technical concepts into clear, actionable insights for non-technical stakeholders, including senior executives.
  • Build and refine scalable processes, documentation, and standards that enhance quality, reproducibility, and onboarding efficiency.
  • Ensure responsible stewardship of data, models, and technical resources; make fiscally sound decisions aligned with departmental objectives and priorities.
  • Break down silos by promoting cross-functional problem-solving and encouraging teams to think beyond their lane to achieve shared goals.

We're looking for someone who has:
  • Bachelor's or Master's degree in a quantitative field (Data Science, Computer Science, Statistics, Mathematics, etc.).
  • 3+ years of leadership experience managing data scientists or analytics teams in a fast-paced environment.
  • Deep expertise in Python, SQL, and modern data science/ML tooling (Pandas, NumPy, TensorFlow, etc.).
  • Strong understanding of AWS or comparable cloud architecture.
  • Demonstrated success delivering machine learning solutions that drive measurable business outcomes.
  • Proven ability to think strategically, manage complex initiatives, and prioritize effectively across competing demands.
  • Exceptional communication skills, with the ability to influence senior executives and guide teams through ambiguity.

Highly preferred candidates also have:
  • Experience in P&C insurance or another highly regulated, data-intensive industry.
  • Exposure to large-scale, real-time data pipelines and MLOps practices.
  • Experience building cross-functional operating models, processes, or governance frameworks.
  • Experience leading through organizational change and building long-term analytics foundations.

Data and AI at SageSure:
At SageSure, data and AI aren't just functions-they're engines for innovation. Our Data & AI organization brings together Data Science, Business Intelligence, Data Management, and emerging AI capabilities to power smarter decisions and deliver meaningful impact across the business. From advanced machine learning models to scalable data ecosystems and real-time insights, we transform complex information into clarity that drives strategic outcomes.
We're building a team of curious, collaborative problem-solvers who are excited about pushing the boundaries of what data and AI can do. Whether you're developing predictive models, enhancing AI-driven capabilities, strengthening data governance, or uncovering insights that influence key decisions, you'll play a critical role in shaping how SageSure uses data and intelligence to lead the future of insurance.
About SageSure:
Named among the Best Places to Work in Insurance by Business Insurance for four years in a row (2020-2023), SageSure is one of the largest managing general underwriters (MGU) focused on catastrophe-exposed property in the US. Since its founding in 2009, SageSure has experienced exceptional growth while generating underwriting profits for carrier partners through hurricanes, wildfires, and hail. Available in 16 states, SageSure offers more than 110 home, flood, and commercial products on behalf of its highly rated carrier partners. Today, SageSure manages more than $3.2 billion of inforce premium and helps protect more than 970,000 policyholders.
We have more than 1,000 employees in a distributed workforce environment across 12 offices-Fairfield, CA; Mountain View, CA; Cheshire, CT; Jacksonville, FL; Tallahassee, FL; Tampa, FL; Chicago, IL; Jersey City, NJ; Marlton, NJ; Cincinnati, OH; Houston, TX; Sheboygan, WI-who are tackling the industry's toughest challenges.
SageSure is a proud Equal Opportunity Employer committed to building a workforce that reflects the spectrum of perspectives, experiences, and abilities of the world we live in. We recognize that our differences make us strong, and we actively seek out diverse candidates through partnerships with organizations, institutions and communities that represent various backgrounds. We champion belonging and inclusion for all identities, including, but not limited to, race, ethnicity, religion, sexual orientation, age, veteran status, ability status, gender, and country of origin, striving to create a culture where all individuals feel valued, respected, and empowered to bring their authentic selves to work.
Our nimble, highly responsive culture nurtures critical thinkers who run toward problems and engineer solutions. We relentlessly pursue better outcomes by investing in the technology, talent, and tools that position us to succeed in demanding markets. Come join our team! Visit sagesure.com/careers to find a position for you.
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