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Data Science Lead Jobs (NOW HIRING)

Kontakt.io

Data Scientist Lead

New York, NY · On-site

As a Data Science Lead , you will play a pivotal role in designing, developing, and deploying machine learning models that drive AI-powered automation across healthcare operations. You will own end ...

Globe Telecom, Inc.

Data Science Manager

Globe, AZ · On-site

Lead and Innovate: Drive the development of RPA, analytical reports, and GPT workflows to support ... Lead and mentor a team of data scientists, fostering a data-driven culture and promoting continuous ...

Floor & Décor

Lead Data Scientist, AI

Atlanta, GA

As a foundational member of our AI Center of Excellence, you will serve as the data science lead for enterprise AI initiatives, architecting and deploying AI solutions that make a meaningful impact ...

SoTalent

Director Data Science

Boston, MA · On-site

Director, Real-World Evidence Data Sciences Lead 📍 Boston, MA (Hybrid) 🕒 Full-time 💼 Director / Data Science / RWE Role Overview Senior data science leadership role responsible for ...

New

Floor & Decor

Lead Data Scientist, AI

Atlanta, GA

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related ... Lead experimentation design, including A/B testing and causal inference, to validate model ...

TikTok

Data Science Lead, Quant Modeling

San Jose, CA · On-site

$179K - $374K/yr

As a member of the data science team, you will work with diverse and highly collaborative teams of ... We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company.

ECS

Data Scientist Lead

Tampa, FL · On-site

The successful candidate will be a senior subject matter expert in data science, leading a team of ... The Data Scientist Lead will provide oversight for the Data Management team and drive the ...

Sigmoid

Principal Data Scientist

Newark, NJ · On-site

The role is expected to serve as the primary client-facing data science lead for commercial analytics and RGM engagements. In this role, you will partner with senior client stakeholders, translate ...

Sigmoid

Principal Data Scientist

Newark, NJ · On-site

The role is expected to serve as the primary client-facing data science lead for commercial analytics and RGM engagements. In this role, you will partner with senior client stakeholders, translate ...

Zillow

Principal Data Scientist - Rentals Shopping

$169K - $270K/yr

As the Shopping pillar lead, you will be a key strategic partner to product leadership, helping shape the roadmap and ensuring decisions are grounded in high-quality data science in a highly ...

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All JobsData Science Lead Jobs

Data Science Lead information

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$30

$70

$95

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.
More about Data Science Lead jobs
What cities are hiring for Data Science Lead jobs? Cities with the most Data Science Lead job openings:
What states have the most Data Science Lead jobs? States with the most job openings for Data Science Lead jobs include:
What job categories do people searching Data Science Lead jobs look for? The top searched job categories for Data Science Lead jobs are:
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.
Data Scientist Lead

Data Scientist Lead

Kontakt.io

New York, NY • On-site

Full-time

Posted 19 days ago

Job description

About Kontakt.io

Kontakt.io is building the platform that care operations run on.

We reduce waste, cut costs, and improve throughput in hospitals by automating and orchestrating clinical workflows. Using AI, real-time location data (RTLS), and deep EHR integration, our platform enables care teams to operate with real-time intelligence and financial discipline.

Trusted by leading U.S. health systems including HCA, Sutter Health, AdventHealth, Trinity Health, and the U.S. Department of Veterans Affairs — and backed by Goldman Sachs — we are scaling rapidly toward the next phase of durable, disciplined hypergrowth.

As a Data Science Lead, you will play a pivotal role in designing, developing, and deploying machine learning models that drive AI-powered automation across healthcare operations. You will own end-to-end ML lifecycle management, ensuring operational excellence, measurable business impact, and collaboration with cross-functional teams. Your work will enable hospitals and healthcare facilities to deliver better, faster, and more cost-effective care.If you’re passionate about building impactful ML solutions, leading data science teams, and transforming care delivery operations, join Kontakt.io and help us redefine the future of healthcare!

Responsibilites

  • Own the full lifecycle of assigned ML models — from ideation to deployment and post-launch validation.

  • Translate business goals into measurable data science objectives (e.g., improve workflow efficiency or reduce operational latency).

  • Design and execute robust A/B or interleaved tests to quantify model impact; define success metrics before deployment.

  • Deliver production-ready, well-documented code following internal engineering standards (testing, CI/CD, peer review).

  • Package and deploy models as services (APIs, microservices), treating deployment as an integral part of development.

  • Maintain operational reliability, scalability, and performance of all owned models and pipelines.

  • Build dashboards and alerts for model health, drift detection, and SLA compliance.

  • Continuously monitor for degradation, bias, or data drift; proactively resolve issues.

  • Participate in on-call rotation for ML systems; enable team to serve as primary responder for incidents related to owned models and data services.

  • Lead root cause analysis (RCA) within 48 hours of production incidents and document remediation actions.

  • Serve as the internal subject-matter expert for your domain (e.g., patient journey, asset utilization).

  • Partner with Product, Engineering, and Leadership to communicate insights, model limitations, and roadmap priorities.

  • Identify high-value data sources and upstream improvements to improve model outcomes or enable new capabilities meaningfully.

  • Ensure all initiatives are tied to clear metrics or business KPIs.

What You Bring

  • Proven leadership experience with the ability to drive technical strategy while mentoring a high-performance Data Science and ML Engineering team.

  • 10+ years of experience in Data Science, Machine Learning, or related roles.

  • Strong proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch, or Scikit-learn).

  • Experience with production ML systems, including model deployment, monitoring, and lifecycle management.

  • Familiarity with cloud platforms (AWS) and scalable ML infrastructure.

  • Strong understanding of data engineering, feature engineering, and model evaluation metrics.

  • Experience with real-time systems, RTLS, or healthcare data

  • Knowledge of healthcare regulations and EHR systems (Epic, Cerner, Meditech)

Ready to Build the Future of Healthcare?

Apply now and help to build the platform that care operations run on. 🚀