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Top Data Science Jobs (NOW HIRING)

Home Depot

Data Science Manager - GenBI

Atlanta, GA · On-site

The Data Science Manager is responsible for leading a team of data scientists (individual ... Attract, retain and develop top talent to build an effective and high performing team; Support team ...

StubHub

Data Science Manager

Los Angeles, CA · On-site +1

$300K - $400K/yr

The Data Science team, a part of the broader StubHub Data organization, is looking for an ... Top Tier Compensation Package: Competitive base, equity, and upside that tracks with your impact

Evolver

Applied Data Science Intern

Palo Alto, CA

Applied Data Science Summer Internship About Us: Evolver is a rapidly growing enterprise AI company ... Founders includes former executives from some of the world's top organizations, including the ...

Evolver

Applied Data Science Intern

Palo Alto, CA · On-site

Applied Data Science Summer Internship About Us: Evolver is a rapidly growing enterprise AI company ... Founders includes former executives from some of the world's top organizations, including the ...

Faire

Data Science Intern

San Francisco, CA

$75/hr

Our Data Science team builds and maintains the algorithmic systems - spanning search ... Publications or submissions to top-tier venues such as KDD, RecSys, ICML, NeurIPS, WWW, or SIGIR

SoFi

Senior Manager, Data Science

Manhattan, NY · On-site

They are seeking a Senior Manager of Data Science to lead a team of Data Scientists, improve data ... top talent • Ensure that the team is operating in an agile and efficient manner • Stay up-to ...

XPO

Senior Scientist, Data Science - Hybrid

Boston, MA

$106.38K - $132.98K/yr

A Master's or PhD in Computer Science, AI, Data Science, or a related quantitative field * years of ... About XPO XPO is a top ten global provider of transportation services, with a highly integrated ...

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Top Data Science information

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$37.5K

$122.7K

$196.5K

How much do top data science jobs pay per year?

As of May 30, 2026, the average yearly pay for top data science in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Top Data Scientist, and why are they important?

To thrive as a Top Data Scientist, you need advanced proficiency in statistics, machine learning, and programming (commonly in Python or R), typically supported by a degree in computer science, mathematics, or a related field. Familiarity with data analysis tools like Pandas, NumPy, TensorFlow, and data visualization platforms, as well as experience with big data infrastructure such as Hadoop or Spark, is essential. Strong problem-solving ability, critical thinking, and effective communication skills distinguish top performers in this field. These skills and qualities are crucial for extracting actionable insights from complex datasets and driving data-driven decision-making in organizations.

What are some typical challenges a data scientist faces when working on cross-functional teams?

Data scientists often collaborate with professionals from engineering, product management, and business units, which can present challenges such as aligning on project goals, communicating complex technical findings to non-technical stakeholders, and managing differing priorities. It’s common to navigate ambiguity in data requirements or business objectives, requiring strong communication and adaptability. Building successful partnerships across functions is key to ensuring that data-driven insights are actionable and impactful.

What is a data scientist?

A data scientist is a professional who analyzes and interprets complex digital data to help organizations make informed decisions. They use techniques from statistics, computer science, and machine learning to extract insights from large datasets. Data scientists often build predictive models, visualize data trends, and communicate findings to stakeholders. Their work helps businesses optimize operations, identify new opportunities, and solve challenging problems using data-driven approaches.

What is the difference between Top Data Science vs Data Analyst?

AspectTop Data ScienceData Analyst
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fields; often includes certifications in machine learning or AIBachelor's in Statistics, Mathematics, or related fields; certifications in data analysis tools are common
Work EnvironmentResearch and development teams, data science departments, often in tech or finance industriesBusiness units, marketing, finance, or operations teams across various industries
Employer & Industry UsageTech companies, finance, healthcare, e-commerce, and startups focusing on predictive modeling and AIRetail, finance, healthcare, and other sectors focusing on reporting and data interpretation

Top Data Science roles focus on advanced analytics, machine learning, and predictive modeling, requiring specialized skills and higher-level credentials. Data Analysts primarily handle data reporting, visualization, and basic analysis. While both roles work with data, Top Data Science positions involve more complex modeling and algorithm development, often in tech-driven environments.

More about Top Data Science jobs
What states have the most Top Data Science jobs? States with the most job openings for Top Data Science jobs include:
What job categories do people searching Top Data Science jobs look for? The top searched job categories for Top Data Science jobs are:
Top Data Science jobs near you
Infographic showing various Top Data Science job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Data Science Manager - GenBI

Data Science Manager - GenBI

Home Depot

Atlanta, GA • On-site

Full-time

Posted 2 days ago

Home Depot rating

7.5

Company rating: 7.5 out of 10

Based on 6,226 frontline employees who took The Breakroom Quiz

5th 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:
Join our newly established Generative Business Intelligence (Gen BI) team and help shape the future of enterprise analytics. As a key player in this strategic initiative, you will partner closely with IT to build a foundational enterprise semantic layer and design advanced, multi-agent architectures. Your work will drive a curated, persona-based approach to Gen BI, empowering end-users across the organization with seamless access to actionable, AI-driven insights grounded in verified, trusted BI metrics.
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:
  • Strong background in Business Intelligence (BI), enterprise data strategy, and semantic layers.
  • Experience building, deploying, or working with AI agents and multi-agent architectures.
  • Hands-on experience with Databricks is a strong plus.
  • 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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