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Data Science Team Lead Jobs (NOW HIRING)

This is a full-time position About the Team The Data Science team provides critical insights and tools to help the executive leadership team, technology teams, and business units optimize test ...

Acts as a liaison between the data science team and other departments. * Understands business needs ... Lead code reviews and enforce best practices in coding standards, model development, and deployment ...

This is a full-time position About the Team The Data Science team provides critical insights and tools to help the executive leadership team, technology teams, and business units optimize test ...

... lead, motivate, and manage a team of 7 data scientists, including multiple data projects. Responsibilities: * As a manager of a world-class data science team within a fast-evolving financial ...

... lead, motivate, and manage a team of 7 data scientists, including multiple data projects. Responsibilities: * As a manager of a world-class data science team within a fast-evolving financial ...

As Vice President of Data Science, you will lead and grow our in-house data science team. This team ... As lead of this team, you will take complete ownership of the technical and operational direction ...

The data science team is very much applied - their work directly makes its way into real products ... As lead of this team, you will take complete ownership of the technical and operational direction ...

The data science team is very much applied - their work directly makes its way into real products ... As lead of this team, you will take complete ownership of the technical and operational direction ...

Lead Data Scientist

Philadelphia, PA · On-site

$163K - $173K/yr

... experienced Lead or Principal Data Scientist to join our dynamic Data Science team. This is a ... Work with business stakeholders and the data science team to identify high-impact business problems ...

AD, Data Science

Bellevue, WA · On-site +1

$189.68K - $296K/yr

Operate as a full stack data scientist utilizing expertise in both machine learning and cloud technologies, while also growing and leading a team. * Lead data science projects through development ...

AD, Data Science

Bellevue, WA · On-site

$189.68K - $296K/yr

Operate as a full stack data scientist utilizing expertise in both machine learning and cloud technologies, while also growing and leading a team. * Lead data science projects through development ...

Lead and develop a global team of US and Europe-based data scientists, driving high-quality data science that is grounded in deep understanding of biology and applicable data science methodologies ...

The Data Science team, a part of the broader StubHub Data organization, is looking for an experienced, senior-level Data Science Manager to lead a growing team (currently 6, ranging from entry level ...

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Data Science Team Lead information

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$30

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How much do data science team lead jobs pay per hour?

As of May 31, 2026, the average hourly pay for data science team lead in the United States is $70.08, according to ZipRecruiter salary data. Most workers in this role earn between $60.58 and $78.61 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Science Team Lead, and why are they important?

To thrive as a Data Science Team Lead, you need strong expertise in statistics, machine learning, and data analysis, usually supported by an advanced degree in a quantitative field and prior experience in data science. Proficiency with technical tools like Python, R, SQL, cloud platforms (e.g., AWS, Azure), and experience with data visualization and version control systems is essential. Leadership, project management, and excellent communication skills help you guide teams and translate complex findings for stakeholders. These skills ensure effective project delivery, foster team growth, and drive impactful, data-driven business decisions.

How does a Data Science Team Lead typically balance hands-on technical work with leadership and management responsibilities?

As a Data Science Team Lead, you can expect to split your time between guiding your team’s technical projects and handling leadership responsibilities, such as mentoring, project planning, and collaborating with stakeholders. While you’ll stay involved in code reviews and high-level modeling decisions, much of your focus will shift toward setting direction, ensuring effective communication, and removing roadblocks for your team. Balancing these aspects requires strong time management and the ability to delegate tasks while maintaining technical oversight. This mix allows you to continue growing your technical expertise while developing leadership skills that are valuable for career advancement.

What is a Data Science Team Lead?

A Data Science Team Lead is a professional responsible for overseeing a team of data scientists and guiding data-driven projects within an organization. They manage workflows, set priorities, and ensure the quality and timely delivery of analytics solutions. In addition to technical expertise in data science, they also possess strong leadership and communication skills to coordinate between team members and stakeholders. Their role often involves mentoring junior data scientists, collaborating with other departments, and aligning the team’s work with business goals.
More about Data Science Team Lead jobs
What cities are hiring for Data Science Team Lead jobs? Cities with the most Data Science Team Lead job openings:
Data Scientist, Data Science Team

Data Scientist, Data Science Team

College Board

Remote

Full-time

Posted 9 days ago


Job description

Senior Data Scientist, Data Science Team
College Board - Technology Division
Location: This is a fully remote role. Candidates who live near CB offices have the option of being fully remote or hybrid (Tuesday and Wednesday in office).
Type: This is a full-time position
About the Team
The Data Science team provides critical insights and tools to help the executive leadership team, technology teams, and business units optimize test delivery, test development, and test security. Our expertise is understanding a wide array of business problems and using a variety of techniques including data analysis, machine learning, and software engineering to create value from data and support decision making. We have a passion for data analysis, programming, applying new technologies, and building practical solutions. Our tight-knit, self-organized team of Data Scientists and Machine Learning Engineers collaborates closely and uses creative problem solving to tackle difficult challenges for many of the organization's strategic initiatives. We love having virtual happy hours and celebrating our accomplishments.
About the Opportunity
As a Senior Data Scientist, you are a passionate collaborator who works closely with team members and stakeholders. You relish the opportunity to bring your ideas, love of coding, data savvy, and business acumen to improve processes that are expensive or impossible to perform without machine learning. You are not shy about taking on new work you may not have done before while eagerly building machine learning models to support the new digital testing platform or eagerly providing executive leadership critical insights to make strategic decisions.
In this role, you will
Develop machine learning applications (40%)
  • Design and implement high quality software using the latest and greatest cloud and machine learning technologies
  • Independently manage and complete all the work needed to deliver small or medium sized applications and analyses on time and at a very high level of quality
  • Help identify and build major components of complex machine learning models
  • Judiciously evaluate the effectiveness and fairness of models and articulate considerations and concerns around implementing models in the context of the business application
  • Build functions, APIs, and data stores to make predictions and analyses accessible to other systems

Data engineering, exploration, and analysis (40%)
  • Design and maintain scalable data pipelines that transform operational data into reliable, production-ready datasets
  • Create insights from existing data and drive the collection of new data
  • Communicate methodology and results of advanced analyses using accessible language and intuitive data visualizations
  • Create reproducible, documented analyses and models that lend themselves to automation

Team Operations & Success (20%)
  • Help the team break down the work into manageable tasks and support our Agile maturity
  • Substantially improve the team's productivity and quality by enhancing tools, processes, and code structure
  • Advise other teams on Machine Learning projects and assist with establishing Machine Learning governance
  • Assist in the identification and resolution of production issues

About you, you have:
  • Ideally a Master's in a quantitative discipline or computer science, OR a Bachelor's and 7+ years related experience
  • Programming expertise in Python and pandas, advanced skills in SQL
  • Expertise in data and statistical analysis.
  • Proven experience in developing Machine Learning (ML) and Deep Learning (DL) solutions to solve real-world problems.
  • Experience with SQL and NoSQL databases.
  • A passion for solving difficult problems creatively.
  • Excellent communication and listening skills, and are able to help others understand both problems and solutions.
  • The ability to tell a story with your data.
  • Worked within a close knit team and enjoy helping your colleagues succeed
  • Knowledge in CI/CD, DevOps and Agile
  • Knowledge in developing applications on a Serverless or Microservices cloud platform (AWS/Azure/GCP, etc.)

For all roles at College Board:
We are seeking individuals who are passionate about expanding educational and career opportunities and committed to mission-driven work. Candidates must be authorized to work in the United States for any employer and should possess clear and concise communication skills, both written and verbal. Proficiency in Microsoft Suite tools is preferred, though a willingness to learn is equally valued. We look for those with curiosity and enthusiasm for emerging technologies, particularly AI-driven solutions, and a proactive approach to independently learning and applying new digital tools. Most importantly, applicants should demonstrate the skills and mindsets aligned with College Board's Operating Principles, reflecting a commitment to continuous growth, collaboration, and impact, notably:
  • A commitment to candid, timely, respectful feedback
  • A learner orientation and an openness to ideas and diverse perspectives
  • The ability to push for excellence through data-informed decision-making, iterative learning, external benchmarking and user-inputs
  • Strong problem-solving skills, including the ability to break down complex issues and identify clear paths forward
  • A track record of prioritizing high-impact work, simplifying complexity, taking initiative, and making decisions quickly with clarity of purpose
  • A habit of collaborating across differences, practicing empathy, and contributing to a culture of trust and shared success

About Our Process
  • Application review will begin immediately and will continue until the position is filled. This role is expected to accept applications for a minimum of 5 business days.
  • While the hiring process may vary, it generally includes: resume and application submission, recruiter phone/video screen, hiring manager interview, performance exercise such as live coding, a panel interview, a conversation with leadership and reference checks.

What We Offer
At College Board, we offer more than just a paycheck-we provide a meaningful career, a supportive team, and a comprehensive package designed to help you thrive. We're a self-sustaining nonprofit that believes in fair and competitive compensation, grounded in your qualifications, experience, impact, and the market.
A Thoughtful Approach to Compensation
  • The hiring range for this role is $144,000-$173,000.
  • Your exact salary will depend on your location, experience, and how your background compares to others in similar roles at the College Board.
  • We aim to make our best offer upfront, rooted in fairness, transparency, and market data.
  • We adjust salaries by location to ensure fairness, no matter where you live.

You'll have open, transparent conversations about compensation, benefits, and what it's like to work at College Board throughout your hiring process. Check out our careers page for more.
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