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Manager Data Scientist Jobs (NOW HIRING)

Senior Manager, Data Science

Calumet, PA · On-site

$210K - $230K/yr

Senior Manager, Data Science Location: United States - Fully remote Salary: $210,000-$230,000 base ... a data scientist or machine learning engineer Strong Python, modeling and production data ...

Advanced skill in Data Management, Data Validation & Cleansing and Information Analysis Desired Qualifications and Education Requirements: All Data Scientist Roles * Doctoral degree in Statistics ...

Data Scientist Washington, DC (Hybrid) About the Role: We are looking for a highly motivated Data ... Work with cloud platforms (e.g., Databricks, AWS, GCP, Azure) to manage data pipelines, large-scale ...

Data Scientist Washington, DC (Hybrid) About the Role: We are looking for a highly motivated Data ... Work with cloud platforms (e.g., Databricks, AWS, GCP, Azure) to manage data pipelines, large-scale ...

Data Scientist Washington, DC (Hybrid) About the Role: We are looking for a highly motivated Data ... Work with cloud platforms (e.g., Databricks, AWS, GCP, Azure) to manage data pipelines, large-scale ...

This role manages the overall data scientist team or function for a key business which may include Modelers and/or Data Scientist roles. This role may also oversee the development of data models ...

In addition, data scientists shall interpret and analyze complex sets of data, as well as plan, execute, and manage ML projects with cloud-native platforms and advanced ML solutions. They understand ...

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Manager Data Scientist information

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$46K

$165K

$243.5K

How much do manager data scientist jobs pay per year?

As of Sep 10, 2026, the average yearly pay for manager data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is a manager data scientist?

Manager Data Scientists are professionals who oversee data science teams and projects within an organization. They combine advanced analytical skills with leadership abilities to guide data scientists, set project priorities, and ensure data-driven strategies align with business goals. In addition to technical expertise in data modeling, machine learning, and analytics, they are responsible for mentoring team members, managing resources, and communicating insights to stakeholders. Their role bridges the gap between technical execution and strategic decision-making.

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

To thrive as a Manager Data Scientist, you need expertise in statistical analysis, machine learning, data modeling, and a relevant degree such as in computer science, mathematics, or statistics. Familiarity with tools like Python, R, SQL, cloud platforms (e.g., AWS, Azure), and experience with data visualization software and project management methodologies are commonly required. Strong leadership, effective communication, and the ability to mentor and guide teams are vital soft skills in this role. These competencies ensure successful project delivery, drive data-driven business decisions, and foster a productive, innovative team environment.

How does a manager data scientist typically collaborate with cross-functional teams to drive business outcomes?

As a Manager Data Scientist, you will work closely with teams such as engineering, product management, and business stakeholders to ensure data-driven solutions align with company goals. This collaboration often involves translating complex analytical findings into actionable insights, setting project priorities, and managing expectations. You will also facilitate communication between data scientists and non-technical teams to foster understanding and ensure successful project delivery. Building strong relationships and promoting a culture of data-driven decision-making are essential aspects of the role.

What is the difference between Manager Data Scientist vs Data Scientist?

AspectManager Data ScientistData Scientist
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; leadership experienceBachelor's or Master's in Data Science, Statistics, or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersAnalyzes data, develops models, reports findings
Employer & Industry UsageUsed in organizations with data teams, tech, finance, healthcareFound across industries, entry to mid-level roles

The main difference is that a Manager Data Scientist oversees data teams and projects, focusing on leadership and strategic planning, while a Data Scientist primarily conducts data analysis and model development. The manager role involves more coordination, mentorship, and stakeholder communication, whereas the data scientist role emphasizes technical skills and hands-on analysis.

What cities are hiring for Manager Data Scientist jobs?

Cities with the most Manager Data Scientist job openings:

What are the most commonly searched types of Data Scientist jobs?

The most popular types of Data Scientist jobs are:

What states have the most Manager Data Scientist jobs?

States with the most job openings for Manager Data Scientist jobs include:

What are popular job titles related to Manager Data Scientist jobs?

For Manager Data Scientist jobs, the most frequently searched job titles are:

Infographic showing various Manager Data Scientist job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 80% Physical, 2% Hybrid, and 18% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Senior Manager, Data Science

Calumet, PA • On-site

$210K - $230K/yr

Other

Re-posted 6 days ago


Job description

Senior Manager, Data Science
Location: United States - Fully remote
Salary: $210,000-$230,000 base + equity
Type: Full-time
We're partnering with a high-growth AI and Data technology company developing advanced software used across government, payments and the digital-asset industry.
Following a recent Series C funding round, the business reached a valuation of $1 billion and continues to expand its technology, customer base and global operations. Its platform helps specialist teams bring together complex information, identify meaningful patterns and make faster decisions in high-consequence environments.
The opportunity
You'll lead an established team of data scientists working across applied machine learning, technically complex datasets and production-scale systems.
This is an 80/20 player-coach role. Most of your time will focus on managing, mentoring and developing the team, while remaining involved in technical reviews, modeling decisions and data workflows.
What you'll be doing
Leading and developing a high-performing data science team
Guiding machine learning and modeling work across complex investigative problems
Reviewing Python code and production data workflows
Helping the team process and interpret very large datasets
Partnering closely with product, engineering and intelligence teams
What we're looking for
+7 or more years of experience in data science or machine learning
+4 years directly managing Data Science or Machine learning teams
Previous hands-on experience as a data scientist or machine learning engineer
Strong Python, modeling and production data experience
Startup or hypergrowth company experience
Experience with large-scale data systems
Strong people-management and coaching skills
A quantitative degree, with an advanced degree preferred
Experience within fraud, fintech, financial crime, risk, blockchain or another data-intensive environment would be beneficial but isn't essential.
Experience with Airflow, BigQuery, Kafka or Snowflake are nice to haves.
Why join?
Join a business valued at $1 billion following a recent Series C
Build technology used across government, payments and digital assets
Support teams responsible for investigations, intelligence, compliance and risk
$210k-$230k base salary plus competitive equity
Fully remote within the United States
Lead an established data science team
Work across machine learning, modeling and production systems
Candidates must be US-based and able to overlap with Eastern time.