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Sr Data Scientist Jobs (NOW HIRING)

Hireblazer

Senior Data Scientist

Irvine, CA · On-site

Job Title: Sr. Data Scientist Location: Irvine, CA (Hybrid - Onsite and Remote) or San Francisco Market St (Onsite) or Telecommute (Remote) Contract Type: Contract to Hire Project Overview: The Sr. ...

Staffingine LLC

Senior Data Scientist

Los Angeles, CA · On-site

Senior Data Scientist Job Location: Los Angeles - California - USA Job Type: Contract * Design develop and deploy machine learning models and algorithms using Python Lead data science projects from ...

Cogitativo

Senior Data Scientist

Berkeley, CA · On-site

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 ...

Cogitativo

Senior Data Scientist

Berkeley, CA · On-site

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 ...

Nike

Senior Data Scientist

Beaverton, OR · On-site

WHO WE ARE LOOKING FOR We are looking for an experienced Senior Data Scientist to join our Data Science & Advanced Analytics team, which sits within Nike's Supply Chain and Planning Technology (SCPT)

RELX Group plc

Senior Data Scientist

Philadelphia, PA · On-site

Senior Data Scientist AI for Science, Research Intelligence & Knowledge Discovery Build AI That Helps Advance Human Knowledge What if your next AI model could help accelerate a medical breakthrough ...

SteerBridge

Senior Data Scientist

Vienna, VA · On-site

The Senior Data Scientist must be prepared to dive deep into disparate data from multiple sources in multiple formats in order to integrate and evaluate to determine the most appropriate modeling ...

SteerBridge

Senior Data Scientist

Vienna, VA · On-site

$160K - $180K/yr

The Senior Data Scientist must be prepared to dive deep into disparate data from multiple sources in multiple formats in order to integrate and evaluate to determine the most appropriate modeling ...

Addison Group

Sr. Data Scientist

Chicago, IL · Remote

$85 - $100/hr

Senior Data Scientist Remote/Onsite : Remote Contract Pay: $85/hr - $100/hr The Senior Data Scientist will design and implement AI, Machine Learning, and Operations Research models that transform ...

Leidos

Senior Data Scientist

Chantilly, VA · On-site

$154K - $278K/yr

Leidos is seeking a Senior Data Scientist to provide technical leadership and advanced analytics expertise in support of mission-critical national security programs. This role supports customers ...

Leidos

Senior Data Scientist

Chantilly, VA · On-site

$154K - $278K/yr

Leidos is seeking a Senior Data Scientist to provide technical leadership and advanced analytics expertise in support of mission-critical national security programs. This role supports customers ...

Elsevier

Senior Data Scientist

Philadelphia, PA · On-site

Senior Data Scientist AI for Science, Research Intelligence & Knowledge Discovery Build AI That Helps Advance Human Knowledge What if your next AI model could help accelerate a medical breakthrough ...

Elsevier

Senior Data Scientist

Philadelphia, PA

Senior Data Scientist AI for Science, Research Intelligence & Knowledge Discovery Build AI That Helps Advance Human Knowledge What if your next AI model could help accelerate a medical breakthrough ...

RELX

Senior Data Scientist

Philadelphia, PA · On-site

Senior Data Scientist AI for Science, Research Intelligence & Knowledge Discovery Build AI That Helps Advance Human Knowledge What if your next AI model could help accelerate a medical breakthrough ...

GRVTY

Senior Data Scientist

Saint Louis, MO

What Impact You'll Have We are seeking a Senior Data Scientist to support mission-driven analytic and modernization efforts across the Intelligence Community. This role leverages advanced analytics ...

SteerBridge

Senior Data Scientist

Vienna, VA · On-site

The Senior Data Scientist must be prepared to dive deep into disparate data from multiple sources in multiple formats in order to integrate and evaluate to determine the most appropriate modeling ...

City of New York

Senior Data Scientist

Manhattan, NY · On-site

The Senior Data Scientist will work closely with DCWP Investigators and Attorneys to develop and implement strategies for the discovery, collection, and analysis of business data relating to ...

City of New York

Senior Data Scientist

Manhattan, NY · On-site

$125K - $150K/yr

The Senior Data Scientist will work closely with DCWP Investigators and Attorneys to develop and implement strategies for the discovery, collection, and analysis of business data relating to ...

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Showing results 21-40

All JobsSr Data Scientist Jobs

Sr Data Scientist information

See salary details

$41.5K

$142.5K

$201K

How much do sr data scientist jobs pay per year?

As of Sep 3, 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 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.

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.

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What cities are hiring for Sr Data Scientist jobs?

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Sr Data Scientist jobs near you
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, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $142,460 per year, or $68.5 per hour.

Senior Data Scientist

Hireblazer

Irvine, CA • On-site

Full-time

Re-posted 12 days ago

Job description

Job Title: Sr. Data Scientist

Location: Irvine, CA (Hybrid - Onsite and Remote) or San Francisco Market St (Onsite) or Telecommute (Remote)

Contract Type: Contract to Hire

Project Overview:

The Sr. Data Scientist will join the Personalization Data Science and Machine Learning team to focus on solving recommendations, ranking, user condition predictions, and search problems. This KPI-driven team leverages Machine Learning (ML) to deliver personalized experiences. The role involves building end-to-end solutions, collaborating with data scientists and engineers, and ensuring engineering excellence with solid production releases. The team utilizes state-of-the-art machine learning and strives for low-latency solutions.

Top Responsibilities:

Apply advanced statistical and predictive modeling techniques to optimize healthcare and digital experiences.

Propose innovative solutions using data mining, statistical analysis, and machine learning.

Support business needs related to analytics, predictive modeling, and business intelligence.

Collaborate effectively with internal clients to translate their needs into data science use cases.

Provide ongoing tracking and monitoring of model performance and recommend improvements to methods and algorithms.

Required Qualifications:

Bachelor's Degree (Minimum Education Requirement).

Strong hands-on skills in Data Analytics and ML-Ops.

Ability to turn state-of-the-art research into production-level code.

Experience developing analytics with machine learning, deep learning, NLP, and/or other related modeling techniques.

Proficiency in Python, TensorFlow, PyTorch, and/or PySpark.

Ability to translate business needs and requirements into technical solutions.

Solid analytical and problem-solving skills.

Preferred Qualifications:

Master's or Ph.D. degree in Computer Science, Applied Mathematics, (Bio) Statistics, Applied Statistics, Economics, or similar quantitative fields.

Experience developing and deploying models related to recommender systems, NLP, and time series forecasting.

Experience developing algorithms for search engines (e.g., name entity recognition, intent classification, spell correction, auto-completion), cold-start recommendation, and semi-supervised learning (e.g., positive unlabeled learning).