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Data Science Lead Jobs (NOW HIRING)

Genentech

ADS Lead

Boston, MA · On-site

PDD Analytical Data Science teams are mobilized across the portfolio to generate data-driven ... The Opportunity The Analytical Data Science Lead serves as a senior leader within the Analytical ...

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How much do data science lead jobs pay per hour?

As of Jun 18, 2026, the average hourly pay for data science 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.

How does a Data Science Lead typically balance technical responsibilities with team leadership duties?

A Data Science Lead often splits their time between hands-on technical work and managing their team. While they actively contribute to model development, data analysis, and code reviews, they also spend significant time mentoring junior data scientists, coordinating project timelines, and aligning team efforts with business objectives. Effective Data Science Leads prioritize communication and delegation, ensuring the team remains innovative while meeting deadlines. This dual focus can be challenging, but it provides valuable opportunities for professional growth and impact across the organization.

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

AspectData Science LeadData Analyst
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related fields; often requires experience in machine learning and programmingBachelor's degree in Statistics, Mathematics, or related fields; focus on data interpretation and reporting
Work EnvironmentLeads data science projects, collaborates with cross-functional teams, and develops predictive modelsAnalyzes data sets, creates reports, and provides insights to support business decisions
Employer & Industry UsageUsed in tech, finance, healthcare, and large enterprises for strategic data initiativesCommon across various industries for operational and business analysis

The Data Science Lead focuses on leading complex data projects, developing models, and guiding teams, while Data Analysts primarily interpret data, generate reports, and support decision-making. Both roles require strong analytical skills, but the Lead role involves more technical expertise and leadership responsibilities.

What does a data science lead do?

A data science lead oversees data analysis and modeling projects, guiding a team of data scientists to develop insights and solutions using tools like Python, R, and SQL. They coordinate project goals, ensure data quality, and communicate findings to stakeholders, often requiring strong technical skills and leadership abilities.

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

To thrive as a Data Science Lead, you need deep expertise in statistical analysis, machine learning, and data modeling, usually supported by an advanced degree in a quantitative field. Familiarity with programming languages like Python or R, experience with data visualization tools (e.g., Tableau, Power BI), and knowledge of cloud platforms (such as AWS or Azure) are typically required. Strong leadership, communication, and project management skills set top candidates apart by enabling them to guide teams and translate complex insights to stakeholders. These skills ensure effective team performance, drive actionable business strategies, and maximize the impact of data-driven initiatives.

What are Data Science Leads?

Data Science Leads are professionals who oversee data science teams and projects within an organization. They are responsible for guiding data-driven strategies, managing data analysts and scientists, and ensuring the successful delivery of analytical solutions. Their role often includes project management, team mentorship, stakeholder communication, and hands-on technical work such as developing models and interpreting data. Data Science Leads bridge the gap between technical data teams and business leaders to drive organizational goals using data insights.

What jobs can data science lead to?

A Data Science Lead can advance to senior roles such as Data Science Director, Chief Data Officer, or Analytics Manager, overseeing teams and strategic initiatives. They often transition into roles requiring leadership, project management, and expertise in machine learning, statistical analysis, and data architecture.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as Pareto principle, suggests that roughly 80% of results come from 20% of efforts or features. Data scientists often use this concept to focus on the most impactful variables or tasks to optimize model performance and efficiency.

What is the salary of a lead data scientist?

The salary of a lead data scientist typically ranges from $100,000 to $160,000 annually, depending on experience, location, and industry. Senior roles often include additional compensation such as bonuses, stock options, or benefits, and require strong skills in machine learning, statistical analysis, and programming tools like Python or R.
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Data Science Lead jobs near you
Infographic showing various Data Science Lead job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 90% Full Time, 8% Part Time, and 1% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $145,772 per year, or $70.1 per hour.
Senior Machine Learning & Data Science Lead

Senior Machine Learning & Data Science Lead

Insomnia Cookies

Philadelphia, PA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 19 days ago

Insomnia Cookies rating

4.9

Company rating: 4.9 out of 10

Based on 67 frontline employees who took The Breakroom Quiz

27th of 43 rated bakeries

Job description

About the Role
Insomnia Cookies is on a mission to sweeten the digital experience through intelligent personalization, predictive insights, and real-time decisioning.
We're looking for a Senior Machine Learning & Data Science Lead who enjoys working hands-on with models, data, and production systems-while collaborating closely with product, engineering, and marketing teams. This role blends applied data science with practical ML engineering to help design, build, and improve AI-powered capabilities across our digital channels and operations.
Sweet Position Perks:
• Excellent comprehensive benefits coverage that includes medical, dental, vision & pet insurance plans
• 401K with contribution match
• 3 weeks paid vacation plus 2 paid Insomnia personal wellness days
• Relaxed, fun, come as you are office culture
• Free cookies, branded swag and so much more!
What You'll Do
• Collaborate with teams to design and implement ML models for personalization, recommendations, targeting, and operational improvements.
• Develop predictive and forecasting solutions that use first-party data to support marketing, store operations, and inventory planning.
• Integrate models into production environments, partnering with engineers to ensure scalability, reliability, and maintainability.
• Contribute to experimentation efforts, helping design and analyze A/B tests to measure impact.
• Support ongoing model monitoring and refinement, ensuring quality, fairness, and explainability remain central.
• Work across the business to explore new opportunities where data science and ML can improve customer experience or operational efficiency.
What You Bring
• 5+ years in applied ML, data science, or quantitative product roles.
• Experience with recommendation systems, predictive modeling, clustering, and time series forecasting.
• Practical experience deploying models to production (Python, AWS/GCP, APIs).
• Proficiency in SQL and working with large datasets.
• Familiarity with A/B testing and statistical analysis for experimentation.
• Ability to communicate technical concepts clearly to technical and non-technical audiences.
• Bonus: background in eCommerce, QSR, or real-time customer engagement systems.
Why This Role Rocks
• Work on a variety of high-impact, customer-facing and operational projects.
• Be part of the early-stage buildout of our AI and ML capabilities.
• Collaborate with multiple teams on initiatives that directly shape digital experiences.
• Join a fast-moving, playful culture that values experimentation and innovation.
About us:
Insomnia Cookies was founded in a college dorm room by then-student, Seth Berkowitz. Fast forward 20 years and so... many....cookies... later, our innovative bakery + delivery concept has become a cult brand known for its rabid following of cookie lovers who crave Insomnia's warm, delicious delivery all day and late into the night. With an expanding footprint of over 300 stores globally, an experiential, "sweet-easy" concept as the brand's flagship in Philadelphia, Pa. (where Insomnia Cookies is headquartered), and a rapidly-growing nationwide shipping and gifting portfolio... Insomnia Cookies is revolutionizing the cookie game by truly "Imagining What's Possible"!

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