ZipRecruiter

Log In

1

Data Science Lead Jobs in Phoenix, AZ (NOW HIRING)

Deloitte

Data Science Consultant

Tempe, AZ · On-site

... automation, CRM, and lead-to-loyalty orchestration. Join us to drive impactful customer ... Data Science Consultant Our Deloitte Customer team empowers organizations to build deeper ...

USAA

Data Scientist Lead

Phoenix, AZ

The Opportunity We are seeking a Lead AI Individual Contributor Data Scientist to drive the ... Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial ...

New

onsemi

Sr. Manager AI & Data Science

Scottsdale, AZ · On-site

They are seeking a visionary Senior Manager of AI & Data Science to lead a team in delivering scalable AI/ML solutions while ensuring responsible AI governance and fostering a high-performance ...

State Farm

Digital Enablement Data Scientist

Tempe, AZ · On-site

Lead/mentor other data scientists, interns, and other technical work teams * Make strategic ... recommendations on data collection, integration, and retention requirements, incorporating business ...

onsemi

Sr. Manager AI & Data Science

Scottsdale, AZ · On-site

Sr. Manager AI & Data Science We are seeking a visionary and technically strong Senior Manager of AI & Data Science to lead a high-performing team focused on delivering scalable AI/ML solutions ...

onsemi

Sr. Manager AI & Data Science

Scottsdale, AZ · On-site

Sr. Manager AI & Data Science We are seeking a visionary and technically strong Senior Manager of AI & Data Science to lead a high-performing team focused on delivering scalable AI/ML solutions ...

next page

Showing results 1-20

People also search for

All JobsData Science Lead JobsData Science Lead Jobs in Phoenix, AZ

Data Science Lead information

See Phoenix, AZ salary details

$29

$68

$93

How much do data science lead jobs pay per hour?

As of May 28, 2026, the average hourly pay for data science lead in Phoenix, AZ is $68.21, according to ZipRecruiter salary data. Most workers in this role earn between $58.94 and $76.49 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.

What are popular job titles related to Data Science Lead jobs in Phoenix, AZ? For Data Science Lead jobs in Phoenix, AZ, the most frequently searched job titles are:
What job categories do people searching Data Science Lead jobs in Phoenix, AZ look for? The top searched job categories for Data Science Lead jobs in Phoenix, AZ are:
Data Science Lead jobs near you
Infographic showing various Data Science Lead job openings in Phoenix, AZ as of May 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $141,874 per year, or $68.2 per hour.

Vice President - Data Science

Caris Life Sciences

Tempe, AZ • On-site

Full-time

Posted 7 days ago

Job description

Job Summary:
Caris Life Sciences is transforming cancer care through precision medicine and innovative approaches. The Vice President, Data Science provides senior leadership for AI-driven clinical insights and predictive modeling initiatives, overseeing a multidisciplinary team and ensuring the delivery of impactful AI innovations.
Responsibilities:
• Define and execute the strategy for AI-driven clinical insight and molecular signature development across Caris’ molecular profiling platforms.
• Identify clinically relevant questions where advanced analytics can deliver prognostic or predictive insights.
• Oversee development of AI signatures integrating genomic, transcriptomic, proteomic, and clinical outcomes data.
• Establish governance and standards for model development, validation, documentation, and lifecycle management.
• Collaborate with Regulatory and Clinical Development teams to ensure appropriate validation and evidence generation.
• Lead implementation of AI products within a regulated CAP/CLIA clinical environment.
• Oversee engineering and production deployment of AI pipelines within Caris’ clinical reporting infrastructure.
• Ensure scalable, reproducible, auditable computational pipelines and canonical data models.
• Lead development of clinically interpretable reporting frameworks for physicians.
• Partner with Product and Commercial teams to integrate AI insights into clinical reports and decision-support tools.
• Build, mentor, and lead high-performing teams of data scientists and computational biologists.
• Set organizational goals, budgets, roadmaps, OKRs, and performance metrics aligned with corporate priorities.
• Champion a culture of scientific rigor, accountability, transparency, and continuous improvement.
Qualifications:
Required:
• PhD in Data Science, Biostatistics, Computer Science, Biomedical Engineering, or a related field.
• 10+ years of experience building and implementing supervised and unsupervised machine learning models for complex problem solving.
• Expert proficiency in Python (pandas, NumPy, statistical and ML libraries) and SQL.
• Strong expertise in machine learning, statistical modeling, and large-scale biomedical data analysis.
• Experience working with multi-omic datasets including genomics, transcriptomics, and proteomics.
• Experience leveraging large clinical datasets for biomarker discovery, predictive modeling, or outcomes research.
• Working knowledge of regulatory considerations for algorithm development in clinical diagnostics environments.
• Demonstrated people leadership and direct management experience with accountability for large-scale outcomes.
• Outstanding verbal and written communication skills.
• Proficient in Microsoft Office Suite including Word, Excel, Outlook, and PowerPoint.
• This is an onsite role based at our Phoenix, AZ office and requires regular in‑person presence.
Preferred:
• Experience working in regulated clinical laboratory environments (CAP/CLIA).
• Familiarity with cloud computing platforms and large-scale data infrastructures.
• Experience translating advanced analytics into physician-facing clinical products.
Company:
Caris Life Sciences develops molecular profiling and AI-driven technologies to support precision medicine in oncology. Founded in 2008, the company is headquartered in Irving, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

Apply