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Science Manager Jobs in New York (NOW HIRING)

Data Science & Analytics Manager

New York, NY ยท On-site

$240K - $300K/yr

The Role We're looking for a Data Science Manager to lead Clay's Data Science and Analytics team (DSA). DSA is a team of data scientists and analytics engineers that serves as the company's center of ...

Senior Data Scientist

Manhattan, NY ยท On-site

$114.75 - $153/hr

This role will report to Data Science Manager, and partner heavily with all of the key stakeholder functions including Data Science, Product, and Engineering. Responsibilities You are an experienced ...

Professor - Data Science - Tenured Department: Proteomics Salary: Open Posting Summary: Rutgers, The State University of New Jersey (New Brunswick, NJ, USA) invites applications for a distinguished ...

Data Scientist

Brooklyn, NY ยท On-site

$100K - $132K/yr

This Data Science role will report to our Data Science manager who leads Data Science for Amplify's Sales, Marketing and Finance departments. As such, they will be empowered to innovate and ...

Lead a team of >10 highly talented decision science managers, and data scientists with deep hands-on expertise in Optimization, Simulation/Digital Twin, Advanced Analytics, Decision Intelligence, AI ...

New

Senior Data Scientist

New York, NY ยท On-site

$114K - $153K/yr

This role will report to Data Science Manager, and partner heavily with all of the key stakeholder functions including Data Science, Product, and Engineering. Responsibilities: Your are an ...

Senior Data Scientist

Manhattan, NY ยท Hybrid

$114K - $153K/yr

This role will report to Data Science Manager, and partner heavily with all of the key stakeholder functions including Data Science, Product, and Engineering. Responsibilities: Your are an ...

Senior Data Scientist

Manhattan, NY ยท Hybrid

$114K - $153K/yr

This role will report to Data Science Manager, and partner heavily with all of the key stakeholder functions including Data Science, Product, and Engineering. Responsibilities: Your are an ...

Senior Data Scientist

New York, NY ยท On-site

$114K - $153K/yr

This role will report to Data Science Manager, and partner heavily with all of the key stakeholder functions including Data Science, Product, and Engineering. Responsibilities: Your are an ...

Industry/Sector Not Applicable Specialism Data Science Management Level Manager & Summary The Opportunity As an AI Data Scientist Manager, you will play a pivotal role within our Data and Analytics ...

Science Teacher

Stamford, CT ยท On-site

$51K - $66K/yr

Science Teacher Location: Stamford, CT 06902 Description: Birch Agency is seeking Middle School ... Excellent classroom management skills * Ability to differentiate instruction to meet the needs of ...

Director of Data Science

New York, NY ยท On-site

$225K - $250K/yr

Managing and growing a team of data scientists focused on modeling key business problems. * Mentoring and guiding team members as they build out quantitative models in python using industry-standard ...

Showing results 41-60

Science Manager information

See New York salary details

$10

$28

$59

How much do science manager jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for science manager in New York is $28.83, according to ZipRecruiter salary data. Most workers in this role earn between $18.94 and $35.77 per hour, depending on experience, location, and employer.

What is a science manager?

Science Managers are professionals who oversee scientific research projects, teams, or departments within organizations such as research institutes, universities, government agencies, or private companies. Their responsibilities include coordinating research activities, managing budgets and resources, ensuring compliance with regulations, and facilitating communication between scientists and other stakeholders. Science Managers play a crucial role in translating scientific objectives into actionable plans and ensuring that projects are completed efficiently and effectively. They often have advanced degrees in science and strong leadership, organizational, and communication skills.

What are the key skills and qualifications needed to thrive as a science manager?

To thrive as a Science Manager, you generally need a strong background in scientific research, leadership experience, and an advanced degree such as a PhD or MSc in a relevant field. Familiarity with data analysis software, laboratory information management systems (LIMS), and project management tools is typically required. Outstanding communication, problem-solving, and team-building skills help Science Managers effectively lead multidisciplinary teams and coordinate complex projects. These skills are crucial for ensuring scientific rigor, driving innovation, and achieving organizational objectives in research environments.

What are the main challenges a science manager faces when leading interdisciplinary research teams?

One of the main challenges Science Managers encounter is effectively coordinating communication and collaboration among team members from diverse scientific backgrounds. Aligning different methodologies, expectations, and terminologies can require extra effort to ensure everyone is working toward common goals. Additionally, Science Managers must balance administrative responsibilities, such as securing funding and managing budgets, with supporting the scientific growth of their team. Successful Science Managers foster an inclusive environment that encourages innovation while maintaining clear project timelines and deliverables.

What is the difference between Science Manager vs Research Scientist?

AspectScience ManagerResearch Scientist
Required credentialsTypically a master's or PhD in a scientific field, leadership experienceUsually a PhD or master's in a specific science, strong research background
Work environmentLeads teams, manages projects, oversees research activitiesConducts experiments, analyzes data, publishes findings
Employer and industry usageUsed in biotech, pharma, research institutions, and corporate R&DCommon in academia, industry, government research labs

Science Managers focus on leading research teams and managing projects, while Research Scientists primarily conduct experiments and analyze data. Both roles require advanced scientific credentials, but their responsibilities and work environments differ significantly.

What does a science manager do?

A science manager oversees scientific research projects, coordinates teams of scientists, and ensures that experiments and studies meet objectives and standards. They often manage budgets, develop strategies, and communicate findings to stakeholders, requiring strong leadership and knowledge of scientific methods and tools.

What are the most commonly searched types of Science jobs in New York?

The most popular types of Science jobs in New York are:

What cities in New York are hiring for Science Manager jobs?

Cities in New York with the most Science Manager job openings:

Infographic showing various Science Manager job openings in New York as of August 2026, with employment types broken down into 86% Full Time, 13% Part Time, and 1% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $59,960 per year, or $28.8 per hour.

Data Science & Analytics Manager

AI Chopping Block

Manhattan, NY โ€ข On-site

$150 - $210/hr

Other

Posted 4 days ago


Job description

About Clay

Our mission is to help organizations turn any growth idea into reality.

We see growth as a creative practice, not a formula. Finding and reaching your best-fit customers takes unique ideas and constant iteration. As AI makes execution faster and tactics easier to copy, creativity is the only lasting advantage. We\'re already helping thousands of customers โ€” including Anthropic, Notion, Google, and Ramp โ€” go to market with unique data, signals, and AI research.

In 2025, we raised a $100M Series C backed by world-class investors including Sequoia, CapitalG, and First Round โ€” and crossed $100M in revenue.

In 2026, we announced our second employee tender offer in 9 months at a new $5B valuation. We also launched a community equity round, for our customers, agency partners, and club members.

Some things to know about us:

  • Our community includes 11,000+ customers, 150+ integration partners, 125+ agencies, 50+ Clay clubs, and 30k members on Slack.

  • Our culture is unique inside and outside of work. Our team members are also DJs, activists, writers, clowns, marathoners, skydivers, psychedelic therapists, social workers, and more.

  • All employees can work for free with world-class coaches who specialize in creativity, management, and more.

  • Our operating principles โ€” including negative maintenance and non-attached action โ€” guide our work. Read more about them here.

  • Read about us in the NYT, Forbes, First Round Review, and more.

Hear from our employees directly on our Glassdoor page!

The Role

We\'re looking for a Data Science Manager to lead Clay\'s Data Science and Analytics team (DSA). DSA is a team of data scientists and analytics engineers that serves as the company\'s center of excellence for experimentation, metric design, insights, and data-driven decision-making across all areas of the business (Product, Marketing, Sales, Finance, and Partnerships). The manager of this team will be a key leader in setting product and business strategy: partnering with executives to meet ideas with numbers and set the internal narrative and focus using data.

The team has strong foundations and is at the forefront of AI for data: weโ€™ve basically solved the self-serve analytics problem via our custom in-house AI agent โ€œMonty.โ€ We\'re looking for a strong leader with strong data intuition, product and business acumen, and data storytelling skills who can multiply this team\'s strategic influence on one of the fastest-growing AI businesses.

What you\'ll do

Lead and grow the team. Manage and develop data scientists and analytics engineers. Recruit, interview, and onboard top talent as the team scales. Create shared standards for what great data work looks like, and coach the team to get there. Establish rituals that build team cohesion and support technical growth.

Set the technical bar. Hold high standards for experimentation, analysis, insights, metric design, and data modeling. Ensure that Clay remains at the forefront of the latest innovations in AI for data science and analytics.

Relentlessly focus on impact. Ensure the team is making the right tradeoffs. Keep the team focused on work that actually changes decisions and meaningfully impacts the business trajectory of Clay, and leave the rest.

Strategically partner and prioritize across the business. Own staffing across partner areas to ensure every key stakeholder has the support they need, while holding a high bar for impact and pushing back where needed. Ensure partners are making data-informed decisions, and that they have the tooling, insights, and partnership they need to do so.

Shape product and business strategy. Directly inform what we prioritize using data; opportunity size new potential areas for investment and proactively identify potential new directions through analysis and insights. Set the narrative internally using numbers.

Define our key measurement frameworks. Partner with stakeholders to define our business and product goals. Lead the development and championing of key metrics; ensure our most important metrics are properly instrumented and monitored. Create a data-obsessed organization.

Develop a deep understanding of and empathy for our users. Partner with UXR and customer feedback teams to create the most comprehensive understanding of what Clay users, buyers, and prospects want and need.

What we\'re looking for

2+ years managing data scientists and/or analytics engineers, and 6+ years overall in data science or analytics, with a track record of shipping work that has directly influenced product and business decisions

Strong technical depth in experimentation, analytics, statistics, data modeling, and metric design; can coach and set a high technical bar for senior ICs

Expertise in product or growth data science: an expert-level understanding of user funnels (acquisition, activation, engagement, retention) in B2B or B2C products

Skilled at stakeholder management: comfortable partnering with senior leaders across Product, GTM, and Finance, and pushing back when needed

Proven experience influencing product roadmaps via data and insights, and the proven ability to connect data work to business outcomes

Excellent data storytelling skills

An empathetic communicator who expresses nuanced ideas clearly for different audiences and prioritizes curiosity and partnership

Experience growing teams: hiring, coaching, and developing senior ICs

Excitement about AI-native ways of working

Nice to have

Experience with our stack: Snowflake, GitHub, dbt, Hex, Sigma, Dagster

Experience in product-led growth or B2B SaaS, especially usage-based pricing

Experience running embedded/hub-and-spoke data team models

Experience scaling a data team through rapid company growth

Experience working on AI products

Why Clay

Data is at the heart of what we do at Clay. We are building a self-learning revenue engine; we need data leadership to understand how that engine is operating internally and for our customers. We are building a team of strategic leaders and trusted truth-tellers: come lead it!

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