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Data Science Lead Jobs (NOW HIRING)

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 ...

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 ...

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 ...

Lead and develop a team of data scientists and ML engineers, setting the cultural tone for the group * Drive applied research with a clear path to production , explicitly balancing innovation against ...

Data Science Lead, Quant Modeling

San Jose, CA · On-site

$179.20K - $374.40K/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.

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 ...

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 ...

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 ...

We are looking for a passionate, experienced Data Scientist II who thrives in a fast-paced ... Train junior employees in methods and techniques of quantitative social science. Lead the ...

Marketing Science Lead Agentio is seeking a Marketing Science Lead to establish our measurement ... Lead the effort to transform raw campaign data into proprietary market intelligence. You will ...

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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Data Science Lead information

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$30

$70

$95

How much do data science lead jobs pay per hour?

As of May 28, 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.

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.

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 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.

How much do lead data scientists make?

Lead data scientists typically earn between $100,000 and $160,000 annually, with salaries increasing based on experience, industry, and location. Senior roles often include additional compensation such as bonuses, stock options, or benefits, especially in competitive markets or tech companies.

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.

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:
Infographic showing various Data Science Lead job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $145,772 per year, or $70.1 per hour.
Corporate Vice President - Data Science Lead

Corporate Vice President - Data Science Lead

New York Life Insurance Co

Manhattan, NY • On-site

$147.50K - $211K/yr

Full-time

Life

Posted 10 days ago


Job description

Location Designation: Hybrid - 3 days per week
Role Overview
As part of the Artificial Intelligence & Data (AI&D) organization, you will contribute to New York Life's AI-led transformation by developing and supporting the deployment of AI and Machine Learning solutions that enhance efficiency, enable a seamless customer experience, and improve client, agent, and employee experiences, delivering unparalleled value as the firm continues to become tech, data, and AI enabled.
This role will support the development of AI solutions spanning traditional Machine Learning, Generative AI, and Agentic AI, while also providing technical leadership through mentoring junior data scientists and interns, supporting their growth and development. You will work in close partnership with business product owners to champion new ideas that advance AI adoption, while helping measure, articulate, and communicate business value.
You will collaborate closely with business stakeholders, data scientists, engineers, and product and technology partners, contribute to hiring decisions for full-time employees, interns, and contractors, and continue to build expertise in enterprise AI practices, model lifecycle management, responsible AI principles, and New York Life's technology ecosystem.
What You'll Do:
• Lead the execution of AI/ML and GenAI initiatives in partnership with data, technology, product, and business teams to deliver scalable solutions
• Partner with tech and business lead to redesign and operationalize business workflows that embed the AI, GenAI and Agentic solutions.
• Own business-aligned OKRs for AI initiatives, ensuring efforts are outcome-driven, tied to enterprise value creation and supported through PI planning and roadmap development.
• Deliver all aspects of full Model Development Life Cycle (MDLC) from data exploration and feature engineering to model training, validation, deployment, and performance monitoring.
• Develop and help operate models using cloud platforms (e.g., AWS, GCP) and modern data platforms (Snowflake, Databricks), ensuring quality, security, and scalability, partner with ML engineers for large-scale production deployment and scaling.
• Implement and refine LLM/RAG approaches (vector stores, embeddings, retrieval optimization, prompt orchestration) with evaluators for reliability.
• Adhere to model governance, documentation, testing, and CI/CD best practices in partnership with MLOps.
• Mentor and hire junior data scientists, interns and vendor resources to deliver key business initiatives.
• Assist in designing and evaluating agentic/AI-powered solutions that automate routine business tasks with human-in-the-loop checkpoints, escalation thresholds, and safety guardrails.
• Work with AI Engineers to ensure AI capabilities are accessible through APIs, dashboards, and integrated workflow applications used by business teams.
• Build lightweight UI prototypes (e.g., Streamlit) to validate usability and support adoption.
• Stay informed on industry trends by engaging in relevant conferences and sharing key insights with internal and external audiences as appropriate.
• This role involves limited travel (<10%) to events and vendor meetings.
What You'll Bring:
• Advanced degree in Computer Science, Data Science, Machine Learning, AI, Engineering, Mathematics, Statistics, or a related quantitative field.
• 8+ years of experience applying data science and AI/ML to real-world business problems.
• 2+ years of experience working with business stakeholders for delivering on the key roadmap initiatives.
• Ability to communicate complex ideas simply, presenting impact, trade-offs, and recommendations to non-technical partners.
• Proficiency in Python and SQL; working knowledge of core software engineering concepts (version control with Git/GitHub, testing, logging).
• Solid experience with cloud platforms like AWS/GCP services (e.g., SageMaker, Bedrock, Vertex AI) and modern data ecosystems (Snowflake/Databricks).
• Working knowledge of LLMs, RAG architecture, and agentic frameworks, including safe automation design and evaluation practices.
• Solid grounding in ML methods (supervised and unsupervised learning, gradient boosting, exposure to deep learning), feature engineering, regularization, cross-validation.
• Ability to translate analytical findings into clear business insights and collaborate effectively with cross-functional partners. Translate them into an overall AI roadmap.
• Experience collaborating across product, data, and engineering teams to deliver scalable, production-ready AI solutions.
• Experience in Life Insurance industry or consumer finance domains is a plus.
Pay Transparency
Salary Range: $147,500-$211,000
Overtime eligible: Exempt
Discretionary bonus eligible: Yes
Sales bonus eligible: No
Actual base salary will be determined based on several factors but not limited to individual's experience, skills, qualifications, and job location. Additionally, employees are eligible for an annual discretionary bonus. In addition to base salary, employees may also be eligible to participate in an incentive program.
Company Overview
At New York Life, our 180-year legacy of purpose and integrity fuels our future. As we evolve into a more technology-, data-, and AI-enabled organization, we remain grounded in the values that drive lasting impact.
Our diverse business portfolio creates opportunities to make a difference across industries and communities-inviting bold thinking, collaborative problem-solving, and purpose-driven innovation. Here, you'll find the rare balance of long-standing stability and forward momentum, supported by an inclusive team that honors tradition while embracing progress.
As a Fortune 100 mutual company, we offer a place to grow your skills, contribute to meaningful work, and deliver solutions that matter. Your ideas drive what's next, and your growth powers it.
Our Benefits
We provide a full package of benefits for employees - and have unique offerings for a modern workforce, including leave programs, adoption assistance, and student loan repayment programs. Based on feedback from our employees, we continue to refine and add benefits to our offering, so that you can flourish both inside and outside of work.Click hereto discover more about our comprehensive benefit options or visit our NYL Benefits Site.
Our Commitment to Inclusion
At New York Life, fostering an inclusive workplace is fundamental to who we are and how we serve our communities. We have a longstanding commitment to creating an environment where individuals can contribute their best and succeed together. This foundation is rooted in our core values of humanity and integrity, ensuring that every employee feels valued and supported. By embracing a broad range of perspectives and experiences, we achieve greater success and fulfill our promise of providing financial security and peace of mind to families across all communities. Click here to learn more about New York Life's leadership in this space.
Recognized as one of Fortune's World's Most Admired Companies, New York Life is committed to improving local communities through a culture of employee giving and volunteerism, supported by the Foundation. We're proud that due to our mutuality, we operate in the best interests of our policy owners. To learn more about career opportunities at New York Life, please visit the Careers page of www.NewYorkLife.com.
Visit our LinkedIn to see how our employees and agents are leading the industry and impacting communities.
Visit our Newsroom to learn more about how our company is constantly evolving to meet our clients' and employees' needs.
Job Requisition ID: 94081
About NY Life Insurance Company
Diversity & Humanity-two values that are deeply rooted in the New York Life culture and have laid the foundation for over 175 years of commitment to our employees, agents, policy owners, and the communities where we live and work. At New York Life you become a valued part of a welcoming, inclusive, and caring culture that has a long-standing legacy in stability and growth. The strength of New York Life revolves around our diversified, multi-dimensional business portfolio that goes beyond life insurance, and we want you to be a part of our legacy.
As a Fortune 100 company and industry leader, we provide an environment where you can explore your career ambitions, offering opportunities to tackle meaningful challenges and stretch your skills while balancing work and life priorities. You will be part of a diverse team guided by our belief to always be there for each other-providing the support and flexibility to grow and reach new heights while making an impact in the lives of others.
You are our future, and we commit to investing in you accordingly.
Visit our Linkedin to see how our employees and agents are leading the industry and impacting communities.
Visit our Newsroom to learn more about how our company is constantly evolving to meet our clients' and employees' needs.
Required Legal Notices - All Candidates Please Click Here