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Full Time Senior Data Scientist Jobs (NOW HIRING)

Senior Data Scientist

Boston, MA ยท On-site

$85K - $100K/yr

Responsibilities The Senior Data Scientist on the Data Management team will play a lead role in ... At least eight years of full-time, or equivalent part-time, professional experience in a data ...

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 ...

NOVACES is seeking a Senior Data Scientist for a U.S. Coast Guard Surface Forces Logistics Center Business Operations Division support opportunity in Baltimore, MD. The Senior Data Scientist will ...

Sr. Data Scientist

San Jose, CA ยท On-site

$158K - $218K/yr

Research & Development Employment Type: Full Time Location: US-California-San Jose Compensation: $158,550 - $218,100 / year Description The Sr. Data Scientist in the Research and Development (R&D) ...

NOVACES is seeking a Senior Data Scientist for a U.S. Coast Guard Surface Forces Logistics Center Business Operations Division support opportunity in Baltimore, MD. The Senior Data Scientist will ...

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. ...

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 ...

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 ...

Senior Data Scientist

Vienna, VA ยท 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 ...

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 ...

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 ...

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 ...

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 ...

Senior Data Scientist

Chantilly, VA ยท 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 ...

Showing results 21-40

Full Time Senior Data Scientist information

See salary details

$41.5K

$142.5K

$201K

How much do full time senior data scientist jobs pay per year?

As of Aug 6, 2026, the average yearly pay for full time 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 is the difference between Full Time Senior Data Scientist vs Data Analyst?

AspectFull Time Senior Data ScientistData Analyst
Required CredentialsAdvanced degree in Data Science, Statistics, or related field; extensive experienceBachelor's degree in related field; some roles prefer certifications
Work EnvironmentCollaborates with data engineering, product teams; focuses on complex modelingSupports business decisions; focuses on data reporting and visualization
Employer & Industry UsageTech, finance, healthcare, and large enterprisesRetail, marketing, finance, and small to medium businesses

The main difference between a Full Time Senior Data Scientist and a Data Analyst lies in their responsibilities and expertise. Senior Data Scientists handle complex modeling, predictive analytics, and advanced algorithms, often requiring advanced degrees and extensive experience. Data Analysts focus on interpreting data, creating reports, and supporting decision-making with less technical complexity. Both roles are vital but serve different levels of data maturity within organizations.

What cities are hiring for Full Time Senior Data Scientist jobs? Cities with the most Full Time Senior Data Scientist job openings:
What are the most commonly searched types of Senior Data Scientist jobs? The most popular types of Senior Data Scientist jobs are:
What states have the most Full Time Senior Data Scientist jobs? States with the most job openings for Full Time Senior Data Scientist jobs include:

Senior Data Scientist - Fulltime

Rootshell Enterprise Technologies, Inc.

Arlington, VA โ€ข On-site

Full-time

Re-posted 21 days ago


Job description

Position: Senior Data Scientist
Location: Arlington, VA (5 days on site)
Locals Preferred
Top 3 Skills:
8 years of data science experience Azure, Data Bricks, PySpark
Be able to communicate directly with business stakeholders
Job Description:
The Senior Data Scientist is responsible for developing and maintaining data analytics solutions and machine learning algorithms. As a senior role, the expectations are to mentor junior data scientists, further develop the data science lifecycle and best practices, and contribute to strategic discussions. The measures of an ideal candidate include communication skills, technical proficiency, collaboration, mentorship, strategic-thinking, and willingness to learn new things. This new position will be based in our Arlington, VA headquarters and report to the Director of Business Intelligence. This position is structured within IT under the Vice President of Applications.
The position will be located in Arlington, VA.
Key Responsibilities and Essential Duties:
  • Develop solutions to business problems using the data science life cycle.
  • Develop and maintain data analytics solutions and machine learning algorithms
  • Develop comprehensive project plans for implementing data science projects including solution architectures, resourcing, and dependencies.
  • Use predictive modeling and classification techniques to improve LNG production efficiency and mitigate safety or downtime risks.
  • Mine and analyze data from a data lake or data warehouse to drive optimization.
  • Work with stakeholders to identify opportunities to leverage data science to drive business solutions.
  • Understand where key decisions are needed and communicate options for solving business problems with stakeholders.
  • Provide ETL requirements to data engineers to effectively curate files for data analytics.
  • Document data science algorithms for maintainability.
  • Work with IT leadership to further define the data science life cycle and enhance the data science technology stack and architecture.
  • Design data architecture for future platform growth including data warehousing, machine learning, streaming analytics, and data visualization.
  • Assist in testing, governance, data quality, training, and documentation efforts.
  • Mentor junior data scientists and data analysts.
  • Actively engage in business stakeholder requirement workshops to understand, interpret, and translate requirements into effective technical solutions.

Job Qualifications
  • 8+ Years of practical data science/data analytics experience.
  • Bachelor's degree in computer science, Data Analytics, Engineering, Mathematics, Business, or related field of study.
  • Knowledge in cloud data analytics solutions, managing, developing, and maintaining machine learning solutions.
  • Fundamental skills in data processing languages such as SQL, Python, or Scala.
  • Knowledge in building data science solutions using cloud data services.
  • Ability to self-manage and make your own decisions.
  • Strong presentation skills to effectively communicate results of analytics to stakeholders.
  • Strong documentations skills.
  • Excellent interpersonal and communications skills, with strong critical thinking and attention to detail.
  • Strong work ethic with ability to effectively prioritize, meet deadlines, adapt to changing priorities and business needs, and succeed in a fast-paced environment.
  • Excellent attention to detail and the ability to efficiently summarize and prioritize information.
  • Preferred Qualifications
  • Experience with Azure infrastructure especially Azure Data Lake and Azure Data Factory.
  • Experience using Databricks for machine learning algorithm development
  • Experience in coding languages primarily PySpark, Python,and SQL.
  • Experience in agile development and sprint planning.
  • Experience utilizing DevOps
  • Experience working with streaming datasets/IoT.
  • Strong technical writing skills.