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Data Science Team Lead Jobs (NOW HIRING)

Central Health

Principal Data Scientist

Austin, TX · Hybrid

Responsibilities Essential Functions Data Science Team Leadership & People Management Lead, manage, and develop a team of data scientists, providing day-to-day supervision, performance management ...

Central Health

Principal Data Scientist

Austin, TX · On-site

Responsibilities Essential Functions Data Science Team Leadership & People Management • Lead, manage, and develop a team of data scientists, providing day-to-day supervision, performance management ...

Numerator

Director, Data Science

Chicago, IL · On-site

As Director of Data Science , you will lead the team responsible for Numerator's consumer panel - the quality, currency, and representativeness of the signal at the heart of our data. Your team owns ...

Prescient Edge

Data Science Lead

Doral, FL · On-site

Job Title Data Science Lead Location Doral, FL 33122 US (Primary) Category Intelligence Job Type Full-Time Career Level Staff Education Master's Degree Travel Security Clearance Required TS/SCI ...

SOSi

Data Science Lead

Doral, FL · On-site

SOSi is seeking a Data Science Lead to support mission requirements for a structured approach to further develop, integrate, and sustain a scalable, federated data ecosystem that enhances ...

CookUnity

Director, Data Science/ML

OR · On-site +1

You'll build and lead a team focused on predictive modeling, personalization, experimentation ... Define and execute the product data science strategy, identifying opportunities where ML and ...

Total Wine & More

Director, Data Science

Bethesda, MD · On-site

This role will lead multiple data science team members with a significant portfolio of initiatives to design, develop, and scale advanced analytics, machine learning, and AI solutions that drive ...

Odesus

Manager of Data Science

Burbank, CA · On-site

$67.31/hr

Our Data Science team works very closely with Sales and Marketing, and in this position you will maintain and extend existing statistical and machine-learning work that informs how we window, price ...

CookUnity

Director, Data Science/ML

You'll build and lead a team focused on predictive modeling, personalization, experimentation ... Define and execute the product data science strategy, identifying opportunities where ML and ...

CookUnity

Director, Data Science/ML

Miami, FL

You'll build and lead a team focused on predictive modeling, personalization, experimentation ... Define and execute the product data science strategy, identifying opportunities where ML and ...

CookUnity

Director, Data Science/ML

Boston, MA · On-site

You'll build and lead a team focused on predictive modeling, personalization, experimentation ... Define and execute the product data science strategy, identifying opportunities where ML and ...

Gartner

Director, Data Science

Stamford, CT · Remote

Lead a team of data scientists, driving enhancements in accuracy, coverage, latency, scalability, stability, and adoption while maintaining strong MLOps practices. * Translate quantitative analysis ...

Jobgether

Our partner is looking for a Data Science Lead based in Netherlands. This is a strategic technical ... The final decision and next steps (interviews, assessments) are managed by their internal team. We ...

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Data Science Team Lead information

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$95

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

As of Aug 22, 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 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.

What are the key skills and qualifications needed to thrive as a data science team lead?

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 does a data science team lead do?

A data science team lead manages a group of data scientists, overseeing project planning, data analysis, and model development. They coordinate tasks, ensure quality, communicate findings to stakeholders, and often have expertise in programming languages like Python or R, as well as data visualization tools. The role requires strong leadership, technical skills, and the ability to translate complex data insights into actionable business strategies.

What is the salary of data science team lead?

The salary of a data science team lead typically ranges from $100,000 to $150,000 annually, depending on experience, location, and industry. Senior roles with advanced skills in machine learning, leadership, and tools like Python or R tend to command higher compensation.
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Data Science Team Lead jobs near you
Infographic showing various Data Science Team Lead job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 18% Part Time, and 4% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $145,772 per year, or $70.1 per hour.

Director, Data Science

Novartis Pharmaceuticals Corporation

East Hanover, NJ • On-site, Remote

$194K - $312K/yr

Full-time

Medical, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

Band

Level 6


Job Description Summary

This position will be located at the East Hanover, NJ location and will not have the ability to be located remotely.
This is 1 of 2 roles.


Job Description

The Insights and Decision Science (IDS) team is dedicated to enabling improved decision making at Novartis by leveraging superior data to identify actionable insights that drive enhanced performance. We collaborate closely with the US business, bringing insights and challenging ideas to empower smarter, data-driven decision-making. Reporting into the ED, AI and Innovation Data Science, this role is crucial in leading the development and deployment of advanced AI solutions that enhance operational efficiency and drive strategic growth across the organization.

This position plays a vital role in integrating AI-driven solutions across various platforms, fostering collaboration between the US commercial team and the India-based data science team. By championing the exploration of cutting-edge AI technologies, the Director ensures that our strategies are informed by the latest advancements in generative AI and large language models (LLMs). This role will collaborate with other members of the IDS AI and Innovation team members to create, pilot, and scale AI tools to support broader goals of the IDS strategy to transform business processes and outcomes.

Key Responsibilities:

  • Lead the development and deployment of scalable AI solutions, focusing on advanced AI applications across various business units.

  • Be prepared to engage in hands-on work when necessary to support the team and further our data science initiatives.

  • Collaborate with cross-functional teams to integrate AI-driven solutions across various platforms and services.

  • Drive innovation by staying current with advancements in AI, particularly in generative models and LLM technologies.

  • Champion the exploration and integration of cutting-edge AI technologies, particularly in the field generative AI.

  • Act as a key liaison between the US commercial team and the India-based data science team.

  • Stay abreast of state-of-the-art foundation models and other innovative trends in data science and leverage these insights to inform our strategies.

  • Bring a "can-do" attitude and teamwork and inspire others on culture change.

  • Acts as an AI role model, championing a culture that embraces cutting-edge AI technologies and encourages experimentation and adoption of best practices

Experience:

Novartis is seeking an individual with proven experience working with machine learning models. They should have a strong ability to support cross-team development of AI programs. A firm commitment to driving continuous improvement in AI solutions, informed by current innovations, is vital to this role.

Essential Requirements:

  • Advanced degree in Computer Science, Engineering, Statistics, or related field

  • Minimum of 10 years of experience in data science, with 6 years of experience in the pharmaceutical industryis preferred.

  • Build and deploy scalable machine learning models using cloud-based services such as AWS and Azure

  • Strong understanding of deep learning algorithms, foundational/ LLM models, statistics, and recommendation system

  • Deep knowledge of Large Language Models (LLMs) such as GPT, BERT, Cohere, and their applications in real-world scenarios.

  • Ability to operate in a hands-on capacity when necessary.

  • Proficient in programming languages such as Python, Spark, TensorFlow, and PyTorch

  • Experience with digital channel selection for "next best action"

  • Excellent problem-solving skills and ability to identify creative solutions to complex problems

  • Strong ability to effectively communicate and work across different time zones

The pay range for this position at commencement of employment is expected to be between: $194,600.00 and $312,400.00 a year; however, while salary ranges are effective from 1/1/25 through 12/31/25, fluctuations in the job market may necessitate adjustments to pay ranges during this period. Further, final pay determinations will depend on various factors, including, but not limited to geographical location, experience level, knowledge, skills, and abilities. The total compensation package for this position may also include other elements, including a sign-on bonus, restricted stock units, and discretionary awards in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave), dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employee will be in an "at-will position" and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.


EEO Statement:

The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status. We strive to create an inclusive workplace that cultivates bold innovation through collaboration and empowers our people to unleash their full potential.


Accessibility and reasonable accommodations

The Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or in order to perform the essential functions of a position, please send an e-mail to tas.nacomms@novartis.com call +1 (877)395-2339 and let us know the nature of your request and your contact information. Please include the job requisition number in your message.
https://www.novartis.com/careers/careers-research/notice-all-applicants-us-job-openings


Salary Range

$194,600.00 - $361,400.00


Skills Desired

Applied Mathematics, Artificial Intelligence (AI), Aws (Amazon Web Services), Big Data, Building Construction, Cloud Computing, Computer Science, Data Governance, Data Literacy, Data Management, Data Quality, Data Science, Data Strategy, Electrical Transformer, Machine Learning (ML), Master Data Management, Professional Services, Python (Programming Language), R (Programming Language), Random Forest Algorithm, Statistical Analysis, Time Series Analysis

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