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Sr Data Scientist Jobs (NOW HIRING)

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 · 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 · 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 ...

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 ...

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 ...

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 ...

OR · On-site

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 ...

The Senior Data Scientist must possess deep technical expertise as they will play a critical role in shaping the data science strategy. The Senior Data Scientist will collaborate closely with cross ...

Senior Data Scientist

San Jose, CA · On-site

$150K - $175K/yr

A Sr Data Scientist will work closely with our customers on developing AI/ML based solutions to solve complex credit-based decisions in the Business and Commercial lending space. Key responsibilities ...

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 ...

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Sr Data Scientist information

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$41.5K

$142.5K

$201K

How much do sr data scientist jobs pay per year?

As of Jun 13, 2026, the average yearly pay for sr 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 does a SR data scientist do?

A senior data scientist analyzes complex data sets to extract insights, develops predictive models, and supports data-driven decision-making within an organization. They often use tools like Python, R, and SQL, and may lead projects or mentor junior team members. Their role involves translating business problems into analytical solutions and communicating findings to stakeholders.

Is AI replacing data scientists?

AI is transforming the role of data scientists by automating routine tasks like data cleaning and feature engineering, but it does not replace the need for human expertise in designing models, interpreting results, and making strategic decisions. Data scientists are increasingly required to work alongside AI tools, leveraging skills in programming, statistical analysis, and domain knowledge to develop and refine AI systems. The demand for advanced analytical skills and critical thinking continues to grow in the field.

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

AspectSr Data ScientistData Analyst
Required CredentialsBachelor's/Master's/PhD in Data Science, Statistics, or related fields; experience with machine learningBachelor's degree in Data Analysis, Statistics, or related fields; proficiency in Excel, SQL
Work EnvironmentCollaborates with data science teams, develops models, and interprets complex dataPrepares reports, visualizes data, and supports decision-making
Employer & Industry UsageTech companies, finance, healthcare, and large enterprisesRetail, marketing, finance, and smaller organizations

The main difference between a Sr Data Scientist and a Data Analyst lies in their responsibilities and skill levels. Sr Data Scientists focus on building advanced models and algorithms, often requiring more technical expertise and experience with machine learning. Data Analysts primarily handle data cleaning, reporting, and visualization to support business decisions. Both roles are essential but serve different functions within data teams.

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

To thrive as a Sr Data Scientist, you need advanced knowledge of statistics, machine learning, and data analysis, typically backed by a degree in a quantitative field and several years of relevant experience. Expertise in programming languages like Python or R, experience with big data tools (e.g., Spark, Hadoop), and familiarity with cloud platforms or relevant certifications are commonly required. Strong problem-solving abilities, effective communication, and the ability to lead and mentor teams set standout professionals apart. These skills ensure that Sr Data Scientists can extract actionable insights from complex data, drive impactful projects, and support organizational decision-making.

How does a Sr Data Scientist typically collaborate with cross-functional teams within an organization?

A Sr Data Scientist often works closely with product managers, engineers, and business stakeholders to define project goals and translate business needs into analytical solutions. They play a key role in guiding junior data scientists and sharing insights with non-technical team members through clear communication and data visualization. Collaboration is integral, as projects frequently require input from different departments to ensure that data-driven solutions align with overall business strategies and technical feasibility. This cross-functional teamwork helps drive impactful results and fosters a culture of data-informed decision making.

Is 40 too late for data science?

Age is not a barrier to becoming a Sr Data Scientist; many professionals transition into data science later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Data scientists often use this rule to prioritize features, focus on high-impact data, and optimize models efficiently.
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Senior Data Scientist

PROPRIUS

San Francisco, CA

Full-time

Posted 28 days ago


Job description

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 problems? Do you want to work for a rapidly-expanding technology company that is driven by Data Science? Would you like to be part of a high caliber team who have access to huge volumes of real-time data?

An exciting, innovative company in San Francisco is looking for a talented Sr. Data Scientists to join their growing team. As a senior member of the team you will be expected to guide and mentor more junior engineers. This team contributes heavily to company’s core products and acts as the center of innovation within the business.


This is a fantastic opportunity to join a vibrant company and work as part of a diverse and talented Data Science team.

As a Senior Data Scientist, you will:

  • Drive the collection of new data and the improvement/refinement of existing sources.
  • Senior designer and builder of algorithms, models and products with the aim to derive deep insight from varied, complex Big Data sets.
  • Communicate findings effectively across the business to drive stakeholder engagement.
  • Solving challenging data science problems fundamental to their business.
  • Contribute to scientific publications, white papers and industry conference presentations.
  • Mentoring and leading a team.

PROPRIUS is an AI Industry recruiting firm. We’re lucky enough to recruit the best candidates into the most exciting companies all over the United States. We deliver performance.