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

Director, Data Science

New York, NY · On-site

$200K - $250K/yr

This role will manage and collaborate with data scientists across the U.S., Europe, and India while partnering closely with product, engineering, and commercial teams to deliver scalable, data-driven ...

We're hiring a Senior Manager, Data Science to join our Data Team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our ...

The Manager, Data Science - Oncology will support how we advance data capture, build and optimize data workflows and store data by designing and implementing engineering requirements. This role will ...

Director, Data Science

New York, NY · On-site

$120K - $175K/yr

PHD Data Scientists deliver analytic solutions across a wide variety of client applications and ... Excellent project management skills with an ability to set and achieve goals, meet deadlines and ...

We're hiring a Senior Manager, Data Science to join our Data Team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our ...

Senior Manager, Data Science

New York, NY · On-site

$180K - $236K/yr

We're hiring a Senior Manager, Data Science to join our Data Team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our ...

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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 Jun 11, 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 is the hottest job of the 21st century?

Data Science Manager is considered one of the most in-demand roles of the 21st century due to the rapid growth of data-driven decision making. These professionals oversee data teams, develop analytics strategies, and require skills in programming, statistics, and leadership. The role often involves working with tools like Python, R, and cloud platforms, and staying current with emerging technologies is essential.

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.

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 focus on the most impactful features or data subsets to optimize model performance and efficiency.

What is the salary of a data science manager?

The salary of a data science manager typically ranges from $100,000 to $160,000 annually, depending on experience, location, and company size. Senior managers or those in high-cost areas may earn higher compensation, often including bonuses and stock options.

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.

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:
Infographic showing various Data Science Manager job openings in Edison, NJ as of June 2026, with employment types broken down into 86% Full Time, and 14% Part Time. Highlights an 71% In-person, and 29% Remote job distribution, with an average salary of $100,569 per year, or $48.4 per hour.
Applied Science Manager, Ads Measurement Science

Applied Science Manager, Ads Measurement Science

Amazon

New York, NY

$42K - $56K/yr

Full-time

Posted 20 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,839 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

The Measurement Intelligence Science Team (MIST) in the Measurement, Ad Tech, and Data Science (MADS) organization of Amazon Ads serves a centralized role developing solutions for a multitude of performance measurement products. We create solutions which measure the comprehensive impact of their ad spend, including sales impacts both online and offline and across timescales, and provide actionable insights that enable our advertisers to optimize their media portfolios. We leverage a host of scientific technologies to accomplish this mission, including Generative AI, classical ML, Causal Inference, Natural Language Processing, and Computer Vision.
As an Applied Science Manager on the team, you will lead a team of scientists to define and execute a transformative vision for holistic measurement and reporting insights for ad effectiveness

Your team will own the science solutions for foundational experimentation platforms, foundational customer journey understanding technologies, state of the art attribution algorithms to measure the role of advertising in driving observed retail outcomes, and/or agentic AI solutions that help advertisers get quick access to custom insights that inform how to get the most out of their ad spend.
Key job responsibilities
You independently manage a team of scientists. You identify the needs of your team and effectively grow, hire, and promote scientists to maintain a high-performing team.
You have a broad understanding of scientific techniques, several of which may fall out of your specific job function.
You define the strategic vision for your team. You establish a roadmap and successfully deliver scientific solutions that execute that vision.
You define clear goals for your team and effectively prioritize, balancing short-term needs and long-term value.
You establish clear and effective metrics and scientific process to enforce consistent, high-quality artifact delivery.
You proactively identify risks and bring them to the attention of your manager, customers, and stakeholders with plans for mitigation before they become roadblocks

You know when to escalate.
You communicate ideas effectively, both verbally and in writing, to all types of audiences. You author strategic documentation for your team. You communicate issues and options with leaders in such a way that facilitates understanding and that leads to a decision.
You work successfully with customers, leaders, and engineering teams

You foster a constructive dialogue, harmonize discordant views, and lead the resolution of contentious issues.
About the team
We are a team of scientists across Applied, Research, Data Science and Economist disciplines. You will work with colleagues with deep expertise in ML, NLP, CV, Gen AI, and Causal Inference with a diverse range of backgrounds. We partner closely with top-notch engineers, product managers, sales leaders, and other scientists with expertise in the ads industry and on building scalable modeling and software solutions.


What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Amazon logo

About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US