Data Science Analyst Jobs
Data Science Analyst jobs are open across technology, finance, healthcare, and retail, from entry-level to senior and lead roles, with specializations in predictive modeling, business intelligence, and machine learning engineering. Find a role that fits from the openings below and apply directly.
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Showing 5 of 653+ Data Science Analyst jobs
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 Analyst Jobs by Experience Level
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Find Data Science Analyst JobsData Science Analyst 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 analyst jobs.
- Proficiency in Python or R for data analysis and statistical modeling
- Strong SQL skills for querying and manipulating large relational datasets
- Experience with data visualization tools such as Tableau or Power BI
- Bachelor's degree in statistics, computer science, mathematics, or a related field
- Familiarity with machine learning libraries such as scikit-learn or TensorFlow
- Experience communicating analytical findings clearly to non-technical stakeholders
Tips for Your Data Science Analyst Job Search
Quantify model impact on your resume
Recruiters for data science analyst roles want to see outcomes, not just tools. Replace 'built predictive models' with the business result: how much churn you reduced, revenue you influenced, or processing time you cut. Specific numbers make your resume stand out in applicant stacks.
Tailor your portfolio to the industry
A portfolio project in e-commerce demand forecasting won't land the same way at a hospital system. Swap or reframe one project to match the domain you're targeting. Hiring managers in healthcare or finance respond more to domain-relevant examples than technically impressive but unrelated work.
Filter openings by required stack, not just title
Data science analyst roles vary widely in their tooling. Some require Python and SQL, others center on Tableau or Power BI. Search by the specific tools listed in job descriptions you want to land, and deprioritize postings where your stack differs on more than two core requirements.
Apply early to roles that fit
Migrate Mate lists data science analyst openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Prepare for a technical screen before the HR call
Many data science analyst pipelines front-load a take-home SQL or Python assessment before any recruiter conversation. Brush up on window functions, joins, and basic statistical concepts now, so you're not scrambling after you apply. Knowing this stage exists helps you pace your prep correctly.
Negotiate using role-specific comp levers
Data science analyst offers often include components beyond base salary: signing bonuses, equity, conference budgets, and learning stipends. When you receive an offer, ask explicitly about each. Employers who can't move on base often have flexibility on these secondary levers, especially at mid-size tech and fintech firms.
Data Science Analyst Jobs: Frequently Asked Questions
Which companies are hiring the most data science analysts?
The companies hiring the most data science analysts 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. Demand is especially active in technology, financial services, and healthcare sectors.
How many data science analyst jobs are remote?
About 65% of data science analyst openings are fully remote or hybrid as of September 2026, making it one of the more flexible roles in the analytics field. Positions focused on business intelligence, reporting, and predictive modeling tend to have the highest share of remote arrangements, while roles requiring close collaboration with lab or operations teams are more often on-site.
How do you become a data science analyst?
Start by building a foundation in statistics, Python or R, and SQL through coursework, bootcamps, or self-study. Develop a portfolio of projects that show you can clean messy data, build models, and communicate results. Earn a relevant degree or a recognized certification such as Google's Data Analytics Certificate or the IBM Data Science Professional Certificate. Then apply to entry-level analyst or junior data roles to gain professional experience.
Can you get a data science analyst job with little or no experience?
Yes, you can break into data science analyst roles without a formal work history by leading with a strong project portfolio. Build two or three end-to-end projects using publicly available datasets, publish them on GitHub, and explain your methodology clearly. Entry-level titles like junior data analyst, analytics associate, or business intelligence analyst are designed for candidates transitioning into the field, and many employers value demonstrated skill over years of experience.
What does the data science analyst interview process look like?
Most data science analyst pipelines follow four stages: an initial recruiter screen, a technical assessment covering SQL and Python or statistics, a case study or take-home project where you analyze a dataset and present findings, and a final round with the hiring manager and team. The technical screen and case study carry the most weight. Expect to explain your reasoning out loud, not just produce a correct answer.
Where can I find and apply to data science analyst jobs?
You can find and apply to data science analyst jobs on Migrate Mate, which lists current openings from employers across the United States. Search the listings to find roles that match your skills, location preference, and experience level, then apply directly to each one that fits.
See All 653+ Data Science Analyst Jobs
Find roles that match your experience and apply in just a few clicks.
Find Data Science Analyst Jobs