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Senior Data Scientist Jobs (NOW HIRING)

Sr. Data Scientist

Pittsburgh, PA ยท On-site

$47.28 - $81.63/hr

UPMC Health Plan is hiring a Sr. Data Scientist to join the Artificial Intelligence team! This role may work fully remotely and must reside within the United States. The Senior Data Scientist ...

Senior Data Scientist Location: San Francisco, CA Sponsorship: Yes Relocation: Yes Industry:Data Science Are you an experienced Data Scientist with 5+ years' experience who likes solving complex ...

Senior Data Scientist

San Jose, CA ยท Hybrid

$179K - $212K/yr

As a Senior Data Scientist, you will also use a combination of technical skills, business intuition, and analytical thinking to partner with business leaders and provide actionable recommendations.

As a Senior Data Scientist, you will also use a combination of technical skills, business intuition, and analytical thinking to partner with business leaders and provide actionable recommendations.

Overview The Senior Data Scientist will support our customers initiatives by developing/maintaining/analyzing data sets in order to create models and determinate potential outcomes. The position is ...

Senior Data Scientist

San Jose, CA ยท On-site

$179K - $212K/yr

Senior Data Scientists at Roku are thought partners to executive business leaders, so communication and presentation are enormously important. Senior Data Scientists do not take direction from ...

Senior Data Scientists at Roku are thought partners to executive business leaders, so communication and presentation are enormously important. Senior Data Scientists do not take direction from ...

The Senior Data Scientist will design, deliver, and optimize powerful insights and visuals with advanced analytics and AI, including effective use of AI assistants within development tools to ...

POSITION SUMMARY Sr. Data Scientists at Domo are client-facing experts who work with Domo's strategic clients to develop custom production data science solutions that address and improve business ...

POSITION SUMMARY Sr. Data Scientists at Domo are client-facing experts who work with Domo's strategic clients to develop custom production data science solutions that address and improve business ...

Roles are open at both the L5 (Senior Data Scientist I) and L6 (Senior Data Scientist II) levels. You'll get the chance to learn about the different problems the Data Science team solves as you go ...

UPMC Health Plan is hiring a Sr. Data Scientist to join the Artificial Intelligence team! This role may work fully remotely and must reside within the United States. The Senior Data Scientist ...

Senior Data Scientist Senior Data Scientist Who are we? Versant Health is one of the nation's leading administrators of managed vision care, serving millions of our clients' members nationwide. We ...

Job Title Senior Data Scientist Location Reston, VA 20170 US (Primary) Category Intelligence Job Type Full-Time Career Level Staff Education Master's Degree Travel Security Clearance Required TS/SCI ...

Senior Data Scientist Senior Data Scientists on our team partner with product managers, SMEs and our clients to form a cross-functional team driving optimization of precious healthcare resources. We ...

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Senior Data Scientist information

See salary details

$41.5K

$142.5K

$201K

How much do senior data scientist jobs pay per year?

As of Jun 10, 2026, the average yearly pay for senior data scientist in the United States is $142,460.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,500.00 and $166,500.00 per year, depending on experience, location, and employer.

What are some of the main challenges Senior Data Scientists face when leading cross-functional projects?

Senior Data Scientists often encounter challenges such as aligning project goals across diverse teams, managing expectations of non-technical stakeholders, and ensuring data quality and accessibility. Balancing long-term research initiatives with immediate business needs can also be demanding. Effective communication, project management skills, and the ability to translate complex findings into actionable insights are essential for overcoming these hurdles and driving successful outcomes.

What are the key skills and qualifications needed to thrive as a Senior Data Scientist, and why are they important?

To thrive as a Senior Data Scientist, you need advanced expertise in statistics, machine learning, data analysis, and programming, typically supported by a degree in a quantitative field and several years of experience. Familiarity with tools like Python, R, SQL, cloud platforms, and machine learning frameworks, as well as relevant certifications such as AWS Certified Machine Learning or TensorFlow Developer, is highly valuable. Strong problem-solving abilities, communication skills, and leadership qualities help in translating data insights into actionable business strategies and mentoring junior team members. These skills and qualities are crucial for driving impactful data-driven decisions and fostering innovation within organizations.

What does a Senior Data Scientist do?

A Senior Data Scientist leads advanced analytical projects, utilizing statistical modeling, machine learning, and data mining techniques to extract insights from large datasets. They collaborate with cross-functional teams to identify business opportunities, design predictive models, and communicate findings to stakeholders. In addition to technical expertise, they often mentor junior data scientists, help define data strategies, and ensure best practices in data analysis and model deployment.

What is the difference between Senior Data Scientist vs Data Analyst?

AspectSenior Data ScientistData Analyst
Required CredentialsMaster's or PhD in Data Science, Statistics, or related fieldBachelor's degree in related field, often with certifications
Work EnvironmentAdvanced analytics, modeling, and machine learning projectsData reporting, visualization, and basic analysis
Employer & Industry UsageTech, finance, healthcare, and large enterprisesRetail, marketing, small to medium businesses

While both roles involve working with data, Senior Data Scientists focus on complex modeling and predictive analytics, whereas Data Analysts primarily handle data reporting and visualization. The Senior Data Scientist role requires advanced technical skills and higher education, making it suitable for more complex projects in larger organizations.

What Is a Senior Data Scientist?

A senior data scientist does complex data analysis. Job duties include gathering data and writing reports that can help people make decisions. In some cases, they may offer machine learning which is a way to help computers process and understand data. A senior data scientist may also be asked to formulate an algorithm to solve work problems. You need statistics and programming knowledge to be successful in this career.

What cities are hiring for Senior Data Scientist jobs? Cities with the most Senior Data Scientist job openings:
What are the most commonly searched types of Data Scientist jobs? The most popular types of Data Scientist jobs are:
Who are the top companies hiring for Senior Data Scientist jobs? The top employers for Senior Data Scientist jobs are:
What states have the most Senior Data Scientist jobs? States with the most job openings for Senior Data Scientist jobs include:
What are popular job titles related to Senior Data Scientist jobs? For Senior Data Scientist jobs, the most frequently searched job titles are:
Infographic showing various Senior Data Scientist job openings in the United States as of June 2026, with employment types broken down into 6% As Needed, 12% Full Time, and 82% Part Time. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $142,460 per year, or $68.5 per hour.

Sr. Data Scientist

UPMC Senior Communities

Pittsburgh, PA โ€ข On-site

$47.28 - $81.63/hr

Full-time

Posted 27 days ago


Job description

UPMC Health Plan is hiring a Sr. Data Scientist to join the Artificial Intelligence team! This role may work fully remotely and must reside within the United States.
The Senior Data Scientist develops, implements, and monitors advanced analytic, medical informatics, and predictive modeling tools for healthcare programs.
Responsibilities:
  • Design, develop, and implement health care analytic and biomedical modeling programs.
  • Converse with and provides guidance on the selection and use of modeling software and programs.
  • Serves as a consultant to ensure coordination in systems planning, development and implementation between utilization management and other areas needing reporting, development, information systems, and external organizations.
  • Implements plans for capturing and creating new data elements to support department needs.
  • Defines methodologies for reporting and evaluates software requirements needed to support analytic reporting.
  • Identifies staffing needs to enhance modeling and reporting abilities and participates in recruitment.
  • Collaborates with Health Plan and Health System data scientists, as needed.
  • Lead the development and deployment of advanced machine learning models.
  • Oversee the end-to-end data science process, from data collection to model deployment.
  • Mentor and guide junior data scientists and analysts.
  • Collaborate with senior leadership to identify and prioritize data science projects.
  • Communicate complex technical concepts to non-technical stakeholders.
  • If needed, creates and/or maintains documentation of a data dictionary to ensure that data is used efficiently and effectively, to help promote better data governance, improve data quality, & enhance data management processes.

Qualifications:
  • Ph.D. or Masters degree in data science, Statistics, Computer Science, or a related field with 4 years of relevant experience OR a Bachelor's degree with 7 years of relevant experience.
  • At least 2 years post terminal degree strongly preferred.
  • Extensive experience in data science and machine learning.
  • Strong programming skills in Python, SQL, and other relevant languages.
  • Experience conducting bias and segmentation analysis preferred.
  • Experience in the health care industry is a bonus.
  • Proven ability to lead and manage data science projects.
  • Excellent communication and leadership skills.
  • Strong expertise building and deploying models on Azure cloud framework or other cloud frameworks.
  • Preferred skills include using Transformers, Large Language models, GenAI, or AI Agents. .
    Licensure, Certifications, and Clearances:
    UPMC is an Equal Opportunity Employer/Disability/Veteran