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Full Time Data Science Manager Jobs (NOW HIRING)

Home Depot

DATA SCIENCE MANAGER

Atlanta, GA · On-site

The Data Science Manager is responsible for leading a team of data scientists (individual contributors), ensuring that their efforts drive business profitability, increased efficiencies and improved ...

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.

Maximus

Data Science Manager

VA · On-site +1

General information Job Posting Title Data Science Manager Date Tuesday, May 12, 2026 City Remote Country United States Working time Full-time Description & Requirements Maximus is seeking a Data ...

Unilever

Data Science Manager

Hoboken, NJ · On-site

As a Data Science Manager within the Customer Development XOPS team, you will lead data science delivery across products and markets, ensuring high-quality analytics solutions and embedding data ...

Home Depot

Data Science Manager - GenBI

Atlanta, GA · On-site

The Data Science Manager is responsible for leading a team of data scientists (individual contributors), ensuring that their efforts drive business profitability, increased efficiencies and improved ...

Blend360

Data Science Manager

Columbia, MD

$125K - $160K/yr

For more information, visit www.blend360.com We are seeking a skilled and versatile Data Science Manager with AI familiarity to join our growing team. In this role, you'll collaborate with practice ...

Blend360

Data Science Manager

Columbia, MD

For more information, visit www.blend360.com We are seeking a skilled and versatile Data Science Manager with AI familiarity to join our growing team. In this role, you'll collaborate with practice ...

Blend360

Data Science Manager

Columbia, MD · On-site

$125K - $160K/yr

For more information, visit www.blend360.com We are seeking a skilled and versatile Data Science Manager with AI familiarity to join our growing team. In this role, you'll collaborate with practice ...

Tatari

Data Science Manager

San Francisco, CA · 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 · 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

Los Angeles, CA · 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 ...

Lemonade

Data Science Manager

New York, NY · On-site

$210K - $230K/yr

... for an AI Data Science Manager to help lead the future of machine learning-driven pricing at ... Lemonade's US base salary range for this full-time position is $210,000 - $230,000 plus equity ...

Corvel

Data Science Manager

Irvine, CA · On-site +1

The Manager Data Science is responsible for architecting, building, and deploying production-grade ... A comprehensive benefits package is available for full-time regular employees and includes Medical ...

Corvel

Data Science Manager

Irvine, CA · On-site

$119K - $197K/yr

The Manager Data Science is responsible for architecting, building, and deploying production-grade ... A comprehensive benefits package is available for full-time regular employees and includes Medical ...

Globe Telecom, Inc.

Data Science Manager

Globe, AZ

... scientists, fostering a data-driven culture and promoting continuous learning in RPA and AI. * Communicate Effectively: Present findings and recommendations related to RPA and AI to senior management ...

Hinge Health, Inc

Data Science Manager

San Francisco, CA · On-site

$220K - $330K/yr

We are seeking a Manager, Data Science to lead the data strategy for two critical areas of our business: Treatment Experience and Hinge Select. In this role, you will own the data roadmap for our ...

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 ...

ATOMS Careers page

Data Science Manager

Pittsburgh, PA · On-site

$182K - $225K/yr

Experience mentoring, managing, and developing a team of data scientists. * Track record ... Benefits Summary (USA Full-Time Exempt Employees): * Medical, dental, and vision insurance ...

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Full Time Data Science Manager information

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$31K

$97.1K

$172K

How much do full time data science manager jobs pay per year?

As of Jun 16, 2026, the average yearly pay for full time data science manager in the United States is $97,145.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,000.00 and $125,500.00 per year, depending on experience, location, and employer.

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 80 20 rule in data science?

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

What is the difference between Full Time Data Science Manager vs Data Scientist?

AspectFull Time Data Science ManagerData Scientist
CredentialsBachelor's or Master's in Data Science, Statistics, or related field; often prefers leadership experienceBachelor's or Master's in Data Science, Statistics, Computer Science, or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersAnalyzes data, builds models, reports findings
Employer & Industry UsageUsed in organizations with data teams, tech companies, finance, healthcareUsed across industries for data analysis, modeling, and insights

The Full Time Data Science Manager oversees data teams and strategic projects, requiring leadership skills, while Data Scientists focus on analyzing data and building models. Both roles require strong technical skills, but the manager also emphasizes team management and project coordination.

Is AI replacing data scientists?

AI is transforming the role of data science managers by automating routine tasks like data cleaning and model deployment, but it does not replace the need for skilled data scientists. Data science managers oversee teams that develop, interpret, and implement AI models, requiring expertise in statistical analysis, programming, and domain knowledge. The demand for human oversight remains essential to ensure ethical, accurate, and effective use of AI technologies.

Is 40 too late for data science?

For a Full Time Data Science Manager role, age is not a barrier; many professionals transition into data science or management roles later in their careers. Success depends on relevant skills, experience, and continuous learning in areas like machine learning, programming, and data analysis. Age should not deter pursuing a data science career if you have the necessary expertise and a strong portfolio.
What cities are hiring for Full Time Data Science Manager jobs? Cities with the most Full Time Data Science Manager job openings:
What are the most commonly searched types of Data Science Manager jobs? The most popular types of Data Science Manager jobs are:
What states have the most Full Time Data Science Manager jobs? States with the most job openings for Full Time Data Science Manager jobs include:
Full Time Data Science Manager jobs near you
DATA SCIENCE MANAGER

DATA SCIENCE MANAGER

Home Depot

Atlanta, GA • On-site

Full-time

Posted 24 days ago

Home Depot rating

7.4

Company rating: 7.4 out of 10

Based on 6,265 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Job description

With a career at The Home Depot, you can be yourself and also be part of something bigger.
Position Purpose:
The Data Science Manager is responsible for leading a team of data scientists (individual contributors), ensuring that their efforts drive business profitability, increased efficiencies and improved customer experience. This role leads overall programs, maximizing resources, partnering with project teams and business partners, and supports problem solving efforts. Data Science Managers provide leadership, mentoring, and coaching to team members, along with supporting their development of business and technical skills . Based on the specific data science team, this role would need to be Proficient in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP.
As a Data Science Manager, you will provide executive summaries to all levels of the organization and leverage your business knowledge and network to identify opportunities to leverage data science solutions. This role is expected to collaborate with other Data Science Managers across the organization for aligning strategies and effectively managing talent. These responsibilities require effective communication skills, building relationships and partnerships, and leveraging business proficiency to solutions and recommendations.
Key Responsibilities:
  • 40% People Management & Team Leadership - Provide leadership, mentorship and coaching to Data Scientists (individual contributors) and evaluate performance, execution, and contribution; Attract, retain and develop top talent to build an effective and high performing team; Support team in development of business knowledge and technical skills with clear plans and regular assessment of progress; Ensure appropriate processes and job-specific requirements are properly documented; Develop onboarding and training plan for both technical and soft skills that will ensure high level of capabilities within the team; Manage resources effectively to align with strategic initiatives and business needs; Foster collaboration with team members to develop a supportive and engaged team; Support team in the design and development of algorithms and models to use against large datasets to create business insights; Drive team's results and celebrate accomplishments
  • 25% Project Management - Prioritize and assign projects by striking a balance between a variety of factors, like funding, return on investment, innovative or challenging work, among others; Manage programs for the team to ensure consistency of execution, balance of resources and quality solutions; Collaborate with program managers and business partners to align on objectives and expectations and ensure project teams deliver against them; Serve as escalation point for any issues or difficulties with specific projects; Provide executive updates to leaders at all levels of the organization on program effectiveness, team accomplishments, summary of findings and recommended solution, and explain internal and external impacts
  • 15% Strategy & Business Development - Leverage extensive business knowledge and relationships to seek out new business opportunities to leverage data science and advocate for team's skills; Effectively develop trust and collaboration with internal customers and cross-functional teams; Ensure alignment with IT support model, collaboration, tools and governance to enable data scientists to be most effective in executing their roles; Collaborate with other data science managers across the organization to establish high level strategy and optimize talent management
  • 20% Technical Exploration & Development - Seek further knowledge on key developments within data science, technical skill sets, and additional data sources; Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; Ensure best practices and vision for data analysis and model productionalization are leveraged

Direct Manager/Direct Reports:
  • This position typically reports to Senior Manager or above
  • This position has Direct Reports & manages programs

Travel Requirements:
  • Typically requires overnight travel 5% to 20% of the time.

Physical Requirements:
  • Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.

Working Conditions:
  • Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.

Minimum Qualifications:
  • Must be eighteen years of age or older.
  • Must be legally permitted to work in the United States.

Preferred Qualifications:
  • 9+ years of experience in business intelligence and analytics
  • Previous people or project team management experience
  • Expertise in predictive modeling, data mining and data analysis
  • Mastery running queries against data (preferably with Google BigQuery or SQL)
  • Proficient with data visualization software (preferably Tableau)
  • Mastery utilizing statistical techniques to identify key insights that help solve business problems
  • Proficient in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP
  • Demonstrated proficiency in predictive modeling, data mining and data analysis
  • Experience managing and growing team members in a professional setting

Minimum Education:
  • The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.

Preferred Education:
  • No additional education

Minimum Years of Work Experience:
  • 8

Preferred Years of Work Experience:
  • No additional years of experience

Minimum Leadership Experience:
  • None

Preferred Leadership Experience:
  • None

Certifications:
  • None

Competencies:
  • Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs
  • Builds Effective Teams: Building strong-identity teams that apply their diverse skills and perspectives to achieve common goals
  • Builds Networks: Effectively building formal and informal relationship networks inside and outside the organization
  • Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals
  • Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences
  • Develops Talent: Developing people to meet both their career goals and the organization's goals
  • Directs Work: Provides direction, delegating and removing obstacles to get work done
  • Drives Engagement: Creating an environment where people are motivated to do their best to help the organization achieve its objectives
  • Drives Vision and Purpose: Painting a compelling picture of the vision and strategy that motivates others to action
  • Instills Trust: Gaining the confidence and trust of others through honesty, integrity, and authenticity
  • Interpersonal Savvy: Relating openly and comfortably with diverse groups of people
  • Organizational Savvy: Maneuvering comfortably through complex policy, process, and people-related organizational dynamics
  • Persuades: Using compelling arguments to gain the support and commitment of others
  • Strategic Mindset: Seeing ahead to future possibilities and translating them into breakthrough strategies

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About Home Depot

Sourced by ZipRecruiter

The Home Depot is the world’s largest home improvement specialty retailer, operating a vast network of warehouse-format stores across the United States, Canada, and Mexico. Founded in 1978, the company has established itself as the primary resource for building materials, lawn and garden products, and home décor. Its business model caters to two distinct customer bases: Do-It-Yourself (DIY) homeowners and "Pro" customers, such as professional contractors and tradespeople. Beyond product sales, the company offers an extensive suite of services, including professional installation and one of the largest tool rental operations in North America.

Industry

Retail and manufacturing

Company size

10,000+ Employees

Headquarters location

Atlanta, GA, US

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