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Full Time F1 Data Science Jobs (NOW HIRING)

Walmart

Director, Data Science

Gravette, AR · On-site

$130K - $260K/yr

... full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

Mayo Clinic

Data Science Analyst

Phoenix, AZ · On-site

$99K - $148K/yr

Responsibilities Data Scientists at Mayo Clinic perform detailed analysis of large bodies of ... Benefits Eligible Yes Schedule Full Time Hours/Pay Period 80 Schedule Details Monday- Friday (8:00 ...

Prescient Edge

Data Science Lead

Doral, FL · On-site

Job Title Data Science Lead Location Doral, FL 33122 US (Primary) Category Intelligence Job Type Full-Time Career Level Staff Education Master's Degree Travel Security Clearance Required TS/SCI ...

Paylocity

Manager Data Science

Job Type Full-time Description Paylocity is an award-winning provider of cloud-based HR and payroll ... Manager Data Science Position Overview The Paylocity Data Science team is focused on building ...

GDIT

Senior Data Scientist

Concord, NC · On-site

Data Science and Data Engineering Job Qualifications: Skills: AI Frameworks, Applied Problem ... F1, RMSE, AUC-ROC) to ensure production-quality model performance * Fine-tune and adapt open-source ...

Northern Trust

Sr. Data Scientist

Chicago, IL

$114K - $194K/yr

... data science language (F1 scores, regression error, statistical significance, etc.) as well as business domain specific language gained from experience analyzing the data in scope.Provide some ...

Liberty Mutual

Description We're seeking an exceptional, hands-on Data Scientist with deep expertise in data ... San Francisco Employment Type: FULL_TIME

College Board

Data Scientist, Data Science Team

This is a full-time position About the Team The Data Science team provides critical insights and tools to help the executive leadership team, technology teams, and business units optimize test ...

Northern Trust

Sr. Data Scientist

Chicago, IL · On-site

$114K - $194K/yr

... science language (F1 scores, regression error, statistical significance, etc.) as well as business domain specific language gained from experience analyzing the data in scope. • Provide some ...

Northern Trust

Sr. Data Scientist

Chicago, IL · On-site

$114K - $194K/yr

... science language (F1 scores, regression error, statistical significance, etc.) as well as business domain specific language gained from experience analyzing the data in scope. • Provide some ...

Fidelity Investments

Director, Data Science

Boston, MA · On-site

$126K/yr

The Role This is an individual contributor data science role.In this role, the individual leads ... Fidelity's Onsite Working Model Fidelity is transitioning to a full-time onsite working model ...

Fidelity Investments

Director, Data Science

Boston, MA · On-site

$126K/yr

The Role This is an individual contributor data science role. In this role, the individual leads ... Fidelity's Onsite Working Model Fidelity is transitioning to a full-time onsite working model ...

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How much do full time f1 data science jobs pay per year?

As of Jul 3, 2026, the average yearly pay for full time f1 data science in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is the 80 20 rule in data science?

The 80/20 rule in data science states that roughly 80% of the results come from 20% of the efforts or data. Data scientists often focus on the most impactful features or data subsets to improve model performance efficiently, emphasizing feature selection and data cleaning as key skills.

How much do F1 data scientists make?

F1 data scientists typically earn between $70,000 and $120,000 annually, depending on experience, location, and the complexity of the role. They often work with advanced analytics, machine learning tools, and real-time data to optimize team performance and race strategies.

Is 30 too late for data science?

Full Time F1 Data Science roles typically value skills, experience, and continuous learning over age. Many professionals transition into data science in their 30s or later by acquiring relevant skills such as programming, statistics, and tools like Python or R, and building a strong portfolio. Age is generally not a barrier if you demonstrate proficiency and a commitment to the field.

Can a data scientist work in F1?

A data scientist can work in Formula 1 by analyzing race data, vehicle telemetry, and performance metrics to optimize car setup and strategy. F1 teams often seek candidates with strong skills in statistical analysis, programming (e.g., Python, R), and experience with real-time data processing. Such roles typically require a background in data science, engineering, or related fields, along with knowledge of motorsport environments.
What cities are hiring for Full Time F1 Data Science jobs? Cities with the most Full Time F1 Data Science job openings:
What are the most commonly searched types of F1 Data Science jobs? The most popular types of F1 Data Science jobs are:
What states have the most Full Time F1 Data Science jobs? States with the most job openings for Full Time F1 Data Science jobs include:
Full Time F1 Data Science jobs near you
Data Scientist / Data Science Specialist

Data Scientist / Data Science Specialist

Adidev Technologies Inc

Dallas, TX • On-site

Full-time

Posted 12 days ago

Job description

Adidev Technologies Inc
www.adidevtechnologies.com
URGENT HIRE - HIRING PROCESS - 24-48 HOURS!
Adidev Technologies is seeking 2 yrs of relevant experience in Data Science. A project can last anywhere from 6 months to 18 months. Salary varies depending on experience, and we are in search of candidates looking to start as soon as possible. Excellent written and oral communication are required as is the ability to work well in a team environment.
If you are looking for a new challenge and are ready to make an impact on a growing team, then this will be a perfect fit. As a Data Scientist / Data Analyst / Data Science Specialist for Adidev Technologies Inc., you will be enhancing and debugging large-scale applications for one of our well-known clients.
Adidev Technologies is a growing software consulting company that is constantly expanding. As we are working with renowned clients and ready to take on new ones, we are seeking brilliant software engineers. Not only do we offer a great team to work with, but we also offer you an opportunity to make an immediate impact and get rewarded accordingly
JOB RESPONSIBILITIES
  • Perform exploratory data analysis, data verification, and cleaning, robust & reproducible statistical analysis with comprehensive reporting of results.
  • Develop novel ways to help business partners achieve objectives through analysis and modeling
  • Curate and connect external data sets for broad enterprise-wide analytic usage
  • Be a storyteller to explain the 'why and how' of your data-driven recommendations to cross-functional teams
  • Utilize machine learning to create repeatable, dynamic, and scalable models
  • Have a passion to advocate and educate on the value and importance of data-driven decision making and analytical methods
  • Responsible for implementing robust testing strategies leading to model optimizations, program effectiveness, and attribution of marketing mix elements

REQUIRED SKILLS
  • Experience designing, managing, developing, and analyzing multiple large complex data models spanning multiple disparate sources
  • Comfortable in basic statistical analysis, modeling, clustering, and data mining techniques to identify trends and insights
  • Proficiency in using query languages, such as SQL, Spark Data Frame API, etc. - an advantage
  • Lead the conception, development, and evaluation of new Deep Learning, Natural Language Processing, and Machine learning products.
  • Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
  • Experience in web technologies and frameworks (TensorFlow, PyTorch, Sci-kit Learn)
  • Familiarity with MLOps frameworks like MLflow.
  • Familiarity with SQL.
  • Some familiarity with AWS Lambda, AWS SageMaker, Jenkins, and Databricks.
  • Hands-on experience with AWS cloud computing services (IAM, EC2, Lambda, S3, DynamoDB, RDS, CloudFormation) for machine learning applications
  • Experience with Python and R, comfortable working with DataFrames
  • Ability to incorporate a variety of data sources in an analysis (HDFS, file, database, JSON, HTML, etc)
  • Experience with technologies used to build analytics dashboards/applications, such as RShiny, Dash, and Streamlit
  • Experience working with version control systems such as Git and SVN
  • Experience writing complex SQL queries
  • Understanding data warehousing and databases is critical
  • Experience with business intelligence/ visualization tools such as Qlik, Tableau or PowerBI

QUALIFICATIONS
  • Degree in Data Science, Computer Science, Engineering, Math, or Statistics preferred
  • At least 2 yrs of relevant experience in Data Science
  • Experience with Python
  • Experience with machine learning, Deep Learning
  • Mathematical and statistical background
  • Experience with Hadoop, Hive, and/or Spark

Benefits
  • Competitive Salary
  • Paid Relocation
  • Remote Support
  • Guaranteed Regular Salary Reviews
  • Job Type: W2 or Contract 1099 (full-time - 40 hours)

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