Data Science Lead Jobs
Data Science Lead jobs are open across technology, healthcare, finance, and retail, from senior individual contributor to principal and director levels, with specializations in machine learning, analytics engineering, and applied research. Find a role that fits from the openings below and apply directly.
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About AbbVie
AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube.
Job Description
The Clinical Data Strategy and Operations (CDSO) DMO Lead or Clinical Data Scientist (CDS) serves as the data management domain expert and key strategic partner to the clinical study team. This role owns the data collection strategy, drives implementation, oversees data quality delivery, and supports on-time achievement of key study milestones. As the Data Operations single point of contact for cross-functional stakeholders, the DMO Lead or CDS applies strong project management, risk oversight, and continuous process optimization to enable data quality, inspection readiness, and successful trial delivery.
Responsibilities:
- Serves as the CDSO data management subject matter expert and single point of contact for assigned studies, owning data collection, data cleaning, and database lock strategies to enable high-quality, inspection-ready study delivery.
- Leads risk-based and continuous data review strategies from study start-up through database lock, leveraging centralized monitoring, statistical review, and clinical data science methodologies to proactively identify and mitigate study risks.
- Triages data quality standards across studies to identify trends, drive site-level actions through effective cross-functional communication, and maintain data currency in support of timely, reliable study decisions.
- Interprets clinical and operational data, quality metrics, predictive signals, and dashboard outputs to develop data-driven recommendations that strengthen study execution, risk management, patient safety oversight, and quality across the clinical development lifecycle.
- Contributes to defining, managing, and monitoring data-driven protocol deviations.
- Defines and manages study data flow and triages issues from raw EDC data through mapped SDTM data, partnering with internal technology teams, service providers, and vendors to drive timely mitigation and support end-to-end data integrity.
- Performs data mining and custom analytics, gathers business requirements for study dashboards, and generates operational metrics that support study decisions.
- Ensures adherence to federal and applicable local regulations, Good Clinical Practices (GCPs), ICH Guidelines, AbbVie SOPs, and functional quality standards; stays abreast of evolving guidance.
- Influences cross-functional stakeholders without direct authority, aligning clinical, statistical, medical, safety, regulatory, technology, and vendor organizations around data-driven decisions and clinical data science strategies.
- Leads CDSO innovation and process improvement initiatives and participates in cross-functional efforts that improve operational effectiveness, scalability, and study delivery quality.
- Coaches and mentors team members.
Qualifications
- Bachelor’s degree in business, management information systems, computer science, life sciences or equivalent. Masters preferred.
- Must have 6+ years of pharma / clinical research / data management / health care experience or 8+ years of project management experience (and / or applicable work experience).
- In-depth understanding of clinical trial processes and clinical technology. Management of a clinical trial from initiation through to completion in a lead role is preferred.
- Demonstrated performance as a functional leader
- Demonstrated ability to influence others without direct authority
- Demonstrated ability to successfully coach / mentor in a matrix environment
- Demonstrated effective communication skills
- Demonstrated effective analytical skills
Additional Information
Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law:
- The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future.
- We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.
- This job is eligible to participate in our long-term incentive programs.
Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law.
AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled.
US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html
US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:
https://www.abbvie.com/join-us/reasonable-accommodations.html
About AbbVie
AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube.
Job Description
The Clinical Data Strategy and Operations (CDSO) DMO Lead or Clinical Data Scientist (CDS) serves as the data management domain expert and key strategic partner to the clinical study team. This role owns the data collection strategy, drives implementation, oversees data quality delivery, and supports on-time achievement of key study milestones. As the Data Operations single point of contact for cross-functional stakeholders, the DMO Lead or CDS applies strong project management, risk oversight, and continuous process optimization to enable data quality, inspection readiness, and successful trial delivery.
Responsibilities:
- Serves as the CDSO data management subject matter expert and single point of contact for assigned studies, owning data collection, data cleaning, and database lock strategies to enable high-quality, inspection-ready study delivery.
- Leads risk-based and continuous data review strategies from study start-up through database lock, leveraging centralized monitoring, statistical review, and clinical data science methodologies to proactively identify and mitigate study risks.
- Triages data quality standards across studies to identify trends, drive site-level actions through effective cross-functional communication, and maintain data currency in support of timely, reliable study decisions.
- Interprets clinical and operational data, quality metrics, predictive signals, and dashboard outputs to develop data-driven recommendations that strengthen study execution, risk management, patient safety oversight, and quality across the clinical development lifecycle.
- Contributes to defining, managing, and monitoring data-driven protocol deviations.
- Defines and manages study data flow and triages issues from raw EDC data through mapped SDTM data, partnering with internal technology teams, service providers, and vendors to drive timely mitigation and support end-to-end data integrity.
- Performs data mining and custom analytics, gathers business requirements for study dashboards, and generates operational metrics that support study decisions.
- Ensures adherence to federal and applicable local regulations, Good Clinical Practices (GCPs), ICH Guidelines, AbbVie SOPs, and functional quality standards; stays abreast of evolving guidance.
- Influences cross-functional stakeholders without direct authority, aligning clinical, statistical, medical, safety, regulatory, technology, and vendor organizations around data-driven decisions and clinical data science strategies.
- Leads CDSO innovation and process improvement initiatives and participates in cross-functional efforts that improve operational effectiveness, scalability, and study delivery quality.
- Coaches and mentors team members.
Qualifications
- Bachelor’s degree in business, management information systems, computer science, life sciences or equivalent. Masters preferred.
- Must have 6+ years of pharma / clinical research / data management / health care experience or 8+ years of project management experience (and / or applicable work experience).
- In-depth understanding of clinical trial processes and clinical technology. Management of a clinical trial from initiation through to completion in a lead role is preferred.
- Demonstrated performance as a functional leader
- Demonstrated ability to influence others without direct authority
- Demonstrated ability to successfully coach / mentor in a matrix environment
- Demonstrated effective communication skills
- Demonstrated effective analytical skills
Additional Information
Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law:
- The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future.
- We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.
- This job is eligible to participate in our long-term incentive programs.
Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law.
AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled.
US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html
US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:
https://www.abbvie.com/join-us/reasonable-accommodations.html
Data Science Lead Jobs by Experience Level
Top Cities Hiring Data Science Leads
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Find Data Science Lead JobsData Science Lead Job Market
Who's Hiring
- Amazon33
- Capital One18
- Walmart16
- Deloitte12
- TikTok10
Top Industries Hiring
- Technology & Software45
- Education23
- Retail13
- Banking & Financial Services13
- Insurance9
What Employers Look For
The qualifications that appear most often in data science lead jobs.
- 5+ years of experience in data science with at least 2 years in a lead or senior role
- Proficiency in Python or R along with SQL for data manipulation and modeling workflows
- Experience deploying machine learning models to production environments at scale
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for data infrastructure
- Demonstrated ability to mentor junior data scientists and manage cross-functional projects
- Graduate degree in statistics, computer science, mathematics, or a closely related field
Tips for Your Data Science Lead Job Search
Quantify impact at the team level
Your resume needs to show outcomes you drove as a lead, not just your individual work. Highlight model deployment cycles you shortened, team velocity you improved, or revenue impact from decisions your team's models informed. Hiring managers are evaluating whether you can lead people, not just build pipelines.
Apply early to roles that fit
Migrate Mate lists data science lead openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Tailor your portfolio for leadership scope
Showcase projects where you defined the problem, structured the team's approach, and owned the stakeholder communication, not just the modeling work. A GitHub repo of solo notebooks signals an individual contributor, not a lead. Include documentation, roadmaps, or retrospectives that show how you guided a team through ambiguity.
Filter openings by reporting structure
Data science lead roles vary widely, some report into engineering, others into product or analytics. Before you apply, read the job description for who you'd report to and who would report to you. A role buried inside an engineering org will have different expectations than one sitting directly under a chief data officer.
Prepare a cross-functional conflict story
Interviewers at the lead level almost always ask how you've handled disagreements with engineering, product, or business stakeholders over model priorities or data definitions. Walk in with a specific story that shows you resolved the conflict without escalating and moved the project forward.
Negotiate scope before you negotiate compensation
Once you receive an offer, clarify headcount, tooling budget, and whether the team exists or needs to be built. A data science lead role at a company without a functioning data infrastructure is a different job than the title suggests, and scope directly affects your leverage in compensation discussions.
Data Science Lead Jobs: Frequently Asked Questions
Which companies are hiring the most data science leads?
The companies hiring the most data science leads right now include Amazon, Capital One, and Walmart, with the largest share of openings in California, New York, and Virginia, based on current listings on Migrate Mate as of September 2026. Technology, healthcare, and financial services companies consistently post the highest volume of data science lead openings.
How many data science lead jobs are remote?
About 65% of data science lead openings are fully remote or hybrid as of September 2026, making it one of the more flexible roles at the senior level. Sub-areas like applied machine learning research and analytics engineering tend to have the highest share of fully remote postings, while roles that require close collaboration with on-site engineering teams are more likely to be hybrid.
How do you become a data science lead?
You become a data science lead by first building deep individual contributor experience in machine learning, statistical modeling, or analytics, then taking on informal mentorship and project ownership before seeking a formal lead title. The clearest path is to volunteer to lead a cross-functional project, document the outcomes, and make that work visible to your manager when a lead role opens.
Can you get a data science lead job without prior management experience?
You can get a data science lead job without formal management experience if you can demonstrate informal leadership, such as mentoring junior team members, owning a project end-to-end, or driving a technical decision that affected the broader team. Smaller companies and startups are more likely to hire a strong senior data scientist into a first lead role than large enterprises, which typically require prior people management.
What does the data science lead interview process look like?
The data science lead interview process typically includes a recruiter screen, a technical take-home or live coding assessment focused on modeling and SQL, a system design or case study round where you architect a machine learning solution, and a behavioral round assessing leadership and cross-functional collaboration. Many companies add a stakeholder or executive presentation, where you walk through past work and field business-focused questions about how you prioritized and communicated results.
Where can I find and apply to data science lead jobs?
You can find and apply to data science lead jobs on Migrate Mate, which lists current openings from across the United States in one place. Find roles that match your background and apply directly to each listing from the results on this page.
See All 653+ Data Science Lead Jobs
Find roles that match your experience and apply in just a few clicks.
Find Data Science Lead Jobs