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Data Science Engineer Jobs in New Jersey (NOW HIRING)

SageSure

Director Data Science

Jersey City, NJ

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 ...

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

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 8, 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.

Data Science Growth Leader

Sky Consulting Inc

Jersey City, NJ • On-site

Other

Re-posted 29 days ago

Job description

We are seeking a dynamic and experienced Data Science Growth Leader to join our team. This role will co-own business development and growth initiatives from a technical perspective, designing strategy & supporting the execution of GTM efforts for our end-to-end enterprise-grade data science technology capabilities & solutions in AI, ML & AI Engineering across industries & domains. The ideal candidate will have a strong focus on delivering business outcomes for our customers using Data Science and possess a deep & fundamental understanding of DS methodologies and AI technology from experience in successfully delivering such business outcomes in their own careers.

Key Responsibilities

Business Development & Growth:

  • Identify and pursue new business opportunities in the AI & ML space.
  • Develop and execute strategies to expand our client base and market presence.
  • Build and maintain strong relationships with key stakeholders and clients.
  • Collaborate with sales and marketing teams to create compelling value propositions and proposals.

Technical Leadership:

  • Lead the design, development, and deployment of enterprise-level data science solutions.
  • Ensure solutions are scalable, robust, and aligned with business objectives.
  • Stay abreast of the latest advancements in AI & ML technologies and integrate them into our offerings.
  • Mentor and guide a team of data scientists and engineers to achieve project goals.

Strategic Planning:

  • Develop and implement a strategic roadmap for data science initiatives.
  • Align data science projects with overall business strategy and client needs.
  • Drive innovation and continuous improvement in data science methodologies and practices.

Client Engagement:

  • Work closely with clients to understand their business challenges and requirements.
  • Translate client needs into actionable data science solutions.
  • Present findings, insights, and recommendations to clients in a clear and compelling manner.
Requirements

Advanced degree (Ph.D. or Master's) in Data Science, Computer Science, Statistics, or a related field.

18-20 years of extensive experience in the Data Science space.

Proven experience in a leadership role within the AI & ML services industry.

Strong track record of driving business development and growth initiatives.

Extensive experience in developing and deploying enterprise-level data science solutions.

Excellent communication and interpersonal skills.

Ability to work collaboratively in a fast-paced, dynamic environment.

Preferred Skills:

Experience with cloud platforms (AWS, Azure, Google Cloud).

Proficiency in programming languages such as Python, R, and SQL.

Familiarity with big data technologies (Hadoop, Spark).

Strong analytical and problem-solving skills.