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Data Science Manager Jobs in Edison, NJ (NOW HIRING)

Unilever

Data Science Manager

Hoboken, NJ

Data Science Manager Unilever is one of the world's leading suppliers of Food, Home, and Personal Care products, operating in over 190 countries and reaching more than 2 billion consumers every day.

Tatari

Data Science Manager

New York, NY · On-site

$160K - $220K/yr

We're looking for a Data Science Manager to lead our growing AI product data science function. This is a foundational role focused on building and managing a small team of data scientists working on ...

Tatari

Data Science Manager

New York, NY

$160K - $220K/yr

We're looking for a Data Science Manager to lead our growing AI product data science function. This is a foundational role focused on building and managing a small team of data scientists working on ...

Mercor

Data Science Manager

New York, NY · Remote

$70 - $100/hr

Data Science Experts Type: Contract Compensation: $70-$100/hour Location: Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams on data science methodology ...

ZS

Advanced Data Science Manager

Princeton, NJ · On-site

$225K - $240K/yr

Advanced Data Science Manager in AI will... * Lead and mentor a team of data scientists, providing guidance and support to ensure the successful execution of client projects. * Develop and implement ...

SoFi

Data Science Manager, Borrow

Manhattan, NY · On-site

The Borrow Data Science team seeks a Manager to lead Data Scientists, enhancing data execution in their Lending businesses while collaborating across various functions to drive business objectives.

PepsiCo

Data Science Associate Manager

Manhattan, NY · On-site

$120K - $205K/yr

Overview We're seeking a Data Science Manager to lead a high-performing team delivering scalable analytics and machine learning solutions. In this role, you will drive the technical vision, execution ...

PepsiCo

Data Science Associate Manager

Manhattan, NY

$120K - $205K/yr

Overview We're seeking a Data Science Manager to lead a high-performing team delivering scalable analytics and machine learning solutions. In this role, you will drive the technical vision, execution ...

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All JobsData Science Manager JobsData Science Manager Jobs in Edison, NJ

Data Science Manager information

See Edison, NJ salary details

$32.1K

$100.6K

$178.1K

How much do data science manager jobs pay per year?

As of Jul 4, 2026, the average yearly pay for data science manager in Edison, NJ is $100,569.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,300.00 and $129,900.00 per year, depending on experience, location, and employer.

What are the primary responsibilities of a Data Science Manager on a day-to-day basis?

As a Data Science Manager, your daily responsibilities typically include overseeing a team of data scientists and analysts, setting project priorities, and ensuring the timely delivery of data-driven solutions. You will often collaborate with cross-functional teams, such as engineering, product, and business stakeholders, to define problems, scope solutions, and communicate analytical insights. Your role also involves mentoring team members, reviewing code and analysis, and driving best practices in data science methodologies. This position requires balancing technical project oversight with team leadership and strategic business alignment.

What is a Data Science Manager job?

A Data Science Manager leads a team of data scientists to develop and implement data-driven solutions for business challenges. They oversee project timelines, ensure the quality of data analysis, and collaborate with cross-functional teams to drive decision-making. In addition to technical expertise, they require strong leadership, communication, and strategic thinking skills. Their role bridges the gap between data science initiatives and business objectives, ensuring the team's work aligns with company goals.

Is 40 too late for data science?

Age is not a barrier to becoming a data science manager; many professionals transition into data science roles later in their careers. Success depends on relevant skills, experience, and continuous learning in areas like programming, statistics, and machine learning. Employers value diverse backgrounds and practical expertise regardless of age.

What is the 80 20 rule in data science?

The 80/20 rule in data science suggests that roughly 80% of results come from 20% of the efforts or data. Data scientists often use this principle to focus on the most impactful features, models, or data subsets to improve efficiency and outcomes in projects.

What is the role of a data science manager?

A data science manager oversees data science teams, guiding project priorities, setting strategic goals, and ensuring the effective use of data analysis and modeling techniques. They coordinate between technical staff and business stakeholders, often requiring skills in leadership, communication, and familiarity with tools like Python, R, or SQL. Their responsibilities include managing workflows, mentoring team members, and ensuring project deliverables align with organizational objectives.

How much do data scientist managers make?

Data Science Managers typically earn between $110,000 and $160,000 annually, with salaries varying based on experience, location, and company size. They often oversee teams of data scientists, coordinate projects, and require strong skills in analytics tools and leadership. Senior roles or those in high-cost areas can offer higher compensation.

What are the key skills and qualifications needed to thrive in the Data Science Manager position, and why are they important?

To thrive as a Data Science Manager, you need strong analytical skills, experience in machine learning and data analytics, and a background in statistics or computer science, often supported by an advanced degree. Familiarity with tools like Python, R, SQL, cloud platforms, and experience managing data science projects are highly valued, and certifications such as Certified Analytics Professional (CAP) can be advantageous. Excellent leadership, project management, and communication skills are crucial for guiding teams and translating technical findings for stakeholders. These abilities ensure effective team performance, successful project delivery, and the alignment of data science initiatives with organizational goals.

What are the most commonly searched types of Data Science jobs in Edison, NJ? The most popular types of Data Science jobs in Edison, NJ are:
What job categories do people searching Data Science Manager jobs in Edison, NJ look for? The top searched job categories for Data Science Manager jobs in Edison, NJ are:
What cities near Edison, NJ are hiring for Data Science Manager jobs? Cities near Edison, NJ with the most Data Science Manager job openings:
Data Science Manager jobs near you
Data Science Manager

Data Science Manager

Unilever

Hoboken, NJ

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 21 days ago

Unilever rating

7.4

Company rating: 7.4 out of 10

Based on 54 frontline employees who took The Breakroom Quiz

146th of 389 rated food and drinks producers

Job description

Data Science Manager
Unilever is one of the world's leading suppliers of Food, Home, and Personal Care products, operating in over 190 countries and reaching more than 2 billion consumers every day. Our portfolio includes iconic brands such as Dove, Knorr, Domestos, Hellmann's, Persil, Cif, Tresemme, Rexona, and Axe.
Guided by our purpose-to make sustainable living commonplace-we aim to grow our business while addressing the challenges of climate change and human development, enabling people everywhere to live well within the limits of the planet.
About Global Data & Technology (GDT)
Data Foundation within GDT exists to make Unilever data-intelligent, empowering critical business decisions through data, advanced analytics, and AI.
Our vision is a future-fit Unilever-an organisation where data underpins decision-making across all functions: accelerating innovation, strengthening brands, driving excellence in customer execution, enhancing consumer experiences through personalisation, and transforming internal operations for efficiency and scale.
About the Role
As a Data Science Manager within the Customer Development XOPS team in Data Foundation, you will be responsible for leading data science delivery across products and markets, shaping technical direction, and developing high-performing teams. This is a hands-on leadership role, combining technical depth with people management and strong business partnership.
You will own the end-to-end data science lifecycle for key initiatives-translating business problems into scalable analytics solutions, ensuring high-quality delivery, and embedding data science into decision-making at scale.
Key Responsibilities
Technical & Product Leadership
Own and shape the data science roadmap for products within our Customer Development (CD) portfolio, aligned to commercial priorities and business outcomes.
Lead the design, development, and deployment of diagnostic, predictive, and prescriptive analytics solutions, ensuring robustness, scalability, and interpretability.
Set modelling and analytical standards across the team, covering classical statistical methods, machine learning, and emerging Generative and Agentic AI capabilities.
Ensure solutions are industrialised and production-ready, leveraging cloud platforms (Azure, Databricks) and aligned with MLOps best practices.
People Leadership & Capability Building
Lead, coach, and develop a team of data scientists, supporting both technical growth and career progression.
Foster a culture of high ownership, continuous improvement, and learning, encouraging experimentation while maintaining delivery discipline.
Provide technical guidance and review, acting as a mentor and escalation point for complex analytical challenges.
Stakeholder & Business Partnership
Partner closely with Product, Engineering, and Business stakeholders to shape problem definitions, prioritise initiatives, and drive adoption of data science solutions.
Translate complex analytics into clear, actionable insights for senior stakeholders, supporting data-driven decision-making.
Balance short-term delivery with long-term capability building, ensuring alignment between local market needs and global product strategy.
Ways of Working & Continuous Improvement
Champion agile ways of working, enabling fast-paced experimentation and iterative delivery.
Identify opportunities to build reusable frameworks, scale solutions, and feed innovation into the global CD product pipeline.
About You
Experience & Expertise
Degree qualified in a relevant technical discipline (Data Science, Computer Science, Engineering, Mathematics, Statistics, Econometrics, or similar).
Proven experience leading data science teams working on complex analytics initiatives in a commercial or product-driven environment.
Strong background in data science modelling, with deep expertise in several of the following:
o Econometric modelling (Regression, Bayesian approaches) especially in the context of pricing and promotions in the CPG/Retail space
o Time series forecasting
o Simulation and optimisation tools
Experience designing and industrialising machine learning solutions at scale; exposure to agent-based AI systems is a strong advantage.
Advanced proficiency in Python, Spark, and modern analytics stacks; hands-on experience with Databricks and Azure.
Leadership & Mindset
Strong people leader with experience coaching and developing talent in multidisciplinary teams.
Excellent communicator, able to influence and align senior stakeholders through clear storytelling and data-driven narratives.
Strategic thinker with the ability to prioritise effectively and focus teams on what delivers the most value.
Comfortable operating in a fast-paced, global, and ambiguous environment, balancing delivery with longer-term vision.
High ethical standards in data usage, governance, and decision-making.
What We Offer
A leadership role shaping high-impact, global data science products.
The opportunity to build and lead teams working on cutting-edge analytics, AI, and cloud technologies.
A collaborative, inclusive culture that values ownership, learning, and innovation.
Direct contribution to Unilever's growth ambitions and sustainability purpose.

Pay: The pay range for this position is $103,000 to $154,400. Unilever takes into consideration a wide range of factors that are utilized in making compensation decisions including, but not limited to, skill sets, experience and training, licensure and certifications, qualifications and education, and other business and organizational needs.

Bonus: This position is bonus eligible.

Long-Term Incentive (LTI): This position is LTI eligible.

Benefits: Unilever employees are eligible to participate in our benefits plan. Should the employee choose to participate, they can choose from a range of benefits to include, but is not limited to, health insurance

(including prescription drug, dental, and vision coverage), retirement savings benefits, life insurance and disability benefits, parental leave, sick leave, paid vacation and holidays, as well as access to numerous voluntary benefits. Any coverages for health insurance and retirement benefits will be in accordance with the terms and conditions of the applicable plans and associated governing plan documents.

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At Unilever, inclusion is at the heart of everything we do. We welcome applicants from all walks of life and are committed to creating an environment where everyone can thrive/succeed. All applicants will receive fair and respectful consideration, and we actively support the growth and development of every employee.
Unilever is an Equal Opportunity Employer/Protected Veterans/Persons with Disabilities.
For more information on your federal rights, please seeKnow Your Rights: Workplace Discrimination is Illegal

Employment is subject to verification of pre-screening tests, which may include drug screening, background check, credit check and DMV check.

If you are an individual with a disability in need of assistance at any time during our recruitment process, please contact us atNA.Accommodations@unilever.com. Please note: This email is reserved for individuals with disabilities in need of assistance and is not a means of inquiry about positions or application statuses. The Protected Veterans or Individuals with Disabilities AAP narratives are available for inspection by any employee or applicant for employment Monday through Friday during normal business hours at establishment.

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