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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

Chantilly, VA ยท On-site

$130K - $160K/yr

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 ...

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 ...

The Senior Data Scientist will build machine learning-based tools and processes within the company's current big data infrastructure such as recommendation engines, automated propensity scoring ...

The Senior Data Scientist will build machine learning-based tools and processes within the company's current big data infrastructure such as recommendation engines, automated propensity scoring ...

Senior Data Scientist

Plainsboro, NJ ยท On-site

$120.30 - $222.60/hr

The Senior Data Scientist will build machine learning-based tools and processes within the company's current big data infrastructure such as recommendation engines, automated propensity scoring ...

The Senior Data Scientist will build machine learning-based tools and processes within the company's current big data infrastructure such as recommendation engines, automated propensity scoring ...

Senior Data Scientist

Boston, MA ยท On-site

$130 - $175/hr

Overview We are searching for a strategic and inquisitive senior data scientist to develop and run data-centered projects. In keeping with this overarching aim, the senior data scientist will be ...

Senior Data Scientist

Sacramento, CA ยท On-site

$116K - $241K/yr

The Senior Data Scientist leads and contributes to a diverse portfolio of cutting-edge, collaborative data science projects. Responsibilities include delivering direct analytical and modeling support ...

Additional Responsibilities (Senior Data Scientist) Serve as analytics lead for the pod. Own analytical quality across engagements. Act as peer reviewer and mentor internal and client analysts. Drive ...

JOB SUMMARY As a Senior Data Scientist 5, you will join a team of other talented Data Scientists and Machine Learning Engineers - with a goal to convert as a true Lead. For the contract duration, you ...

Senior Data Scientist - GenAI / RAG Location: Houston, TX (Onsite - 5 Days) Type: Full-Time We are looking for a Senior Data Scientist with a strong traditional ML/DS background and hands-on ...

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 ...

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 ...

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Sr Data Scientist information

See salary details

$41.5K

$142.5K

$201K

How much do sr data scientist jobs pay per year?

As of Aug 14, 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 Sr Data Scientist is responsible for analyzing complex data sets to extract meaningful insights and guide business decision-making. They design and implement advanced machine learning models, lead data-driven projects, and collaborate with cross-functional teams. In addition to technical tasks, Sr Data Scientists often mentor junior team members and play a key role in setting data strategy within the organization.

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?

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.
More about Sr Data Scientist jobs

What cities are hiring for Sr Data Scientist jobs?

Cities with the most Sr Data Scientist job openings:

What states have the most Sr Data Scientist jobs?

States with the most job openings for Sr Data Scientist jobs include:

Infographic showing various Sr Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $142,460 per year, or $68.5 per hour.

Senior Data Scientist

PROPRIUS

San Francisco, CA โ€ข On-site

Full-time

Re-posted 19 hours 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.