1

Temp F1 Data Science Jobs (NOW HIRING)

Data Science Associate

Des Moines, IA ยท On-site

$57K - $58K/yr

Specific exposure with hands-on data analysis of databases and files using SQL dialects and ... F1-OPT, F1-CPT, H-1B, TN, L-1, J-1, etc. For additional information around work authorization needs ...

Specific exposure with hands-on data analysis of databases and files using SQL dialects and ... F1-OPT, F1-CPT, H-1B, TN, L-1, J-1, etc. For additional information around work authorization needs ...

Integrated within the data science team, the intern data scientist will work on data projects ... Open to J1/F1 sponsorship To enhance your recruitment prospects and prepare for potential ...

This role focuses on applied data science at enterprise scale, including model development ... recall, F1 score, and related performance metrics) * Proven experience implementing MLOps ...

Lecturer (Data Science) Position Number: Pending Hiring Unit: College of Natural and Health ... Temporary Other Conditions: Lecturer applicant pool for Academic Year 2026 - 2027. Positions are ...

Lecturer (Data Science) Position Number: Pending Hiring Unit: College of Natural and Health ... Temporary Other Conditions: Lecturer applicant pool for Academic Year 2026 - 2027. Positions are ...

Quantify model performance (precision/recall, F1, ROC/AUC, calibration) and write clear reports ... Partner with DH stakeholders (biotech & breeding, Genome Technology Discovery, Data Science) to ...

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 ...

next page

Showing results 1-20

Temp F1 Data Science information

See salary details

$34K

$82.6K

$136K

How much do temp f1 data science jobs pay per year?

As of Jul 3, 2026, the average yearly pay for temp f1 data science in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

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 data scientists skilled in statistical analysis, machine learning, and programming languages like Python or R, working closely with engineers and strategists during race weekends and development periods.

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.

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 data. Data scientists often use this concept to focus on the most impactful features, data points, or tasks to improve model performance efficiently.

Is 30 too late for data science?

For a Temp F1 Data Science role, age is not a barrier; many professionals transition into data science later in their careers. Success depends on skills, relevant experience, and continuous learning in tools like Python, R, and SQL, regardless of age.

What is the difference between Temp F1 Data Science vs Data Analyst?

AspectTemp F1 Data ScienceData Analyst
Required CredentialsBachelor's in Data Science, Computer Science, or related field; some roles prefer certifications in data analysis or machine learningBachelor's in Statistics, Mathematics, or related field; often requires proficiency in data visualization and SQL
Work EnvironmentProject-based, collaborative teams, often in tech or finance industriesBusiness-focused, working with stakeholders to interpret data and generate reports
Employer & Industry UsageUsed by tech companies, financial institutions, and research organizationsCommon in corporate, healthcare, and marketing sectors

Temp F1 Data Science roles focus on developing models and advanced analytics, requiring technical skills in programming and machine learning. Data Analysts primarily interpret data, create reports, and support decision-making with visualization tools. Both roles share foundational skills but differ in complexity and scope.

What cities are hiring for Temp F1 Data Science jobs? Cities with the most Temp 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 Temp F1 Data Science jobs? States with the most job openings for Temp F1 Data Science jobs include:
Data Science Associate

Data Science Associate

Wellmark, Inc.

Des Moines, IA โ€ข On-site

$57K - $58K/yr

Full-time

Posted 29 days ago


Job description

Company Description

Why Wellmark?ย 

We are a mutual insurance company owned by our policy holders across Iowa and South Dakota, and we've built our reputation on over 80 years' worth of trust. We are not motivated by profits. We are motivated by the well-being of our friends, family, and neighbors-our members. If you're passionate about joining an organization working hard to put its members first, to provide best-in-class service, and one that is committed to sustainability and innovation, consider applying today!ย 

Learn more about our unique benefit offeringsย here.ย 

Want to know more? You can learn about life at Wellmarkย here.

Job Description

Responsible for extracting, integrating analyzing, and interpreting data from internal and external data sources, to develop intelligence packaging that draws conclusions and supports recommendations that will help to achieve business goals. Collaborate with team ย and key business stakeholders to ensure critical business objectives are met by following the analytics lifecycle within assigned domains. Work cross-functionally with business stakeholders to identify risk and provide solutions that drive data-enabled decisions.

Qualifications

Required:ย 

  • For consideration, you must meet one of the following educational/technical requirements:
  • Bachelor's degree in quantitative discipline such as statistics, mathematics, finance, accounting, computer science, engineering, or economics.
  • Less than 1-year hands-on experience with specific experience in data or statistical analysis, including data collection, joins, analysis, statistics and/or data presentation. Specific exposure with hands-on data analysis of databases and files using SQL dialects and statistical programming languages.
  • Strong formulas and data visualizations knowledge.
  • Exposure to business intelligence or analysis platforms.
  • Naturally curious and ability to drive business decisions and solutions.
  • Effective communication skills, both verbal and written, with the ability to present complex information.
  • Proactive, self-starter and can manage priorities through effective time management skills.

Preferred:

  • Master's degree.
  • Experience working with unstructured data sets.
  • Experience developing project roadmaps and timelines.
Additional Information

Job Responsibilitiesย 

a. Participate in or conduct discovery sessions and stakeholder interactions to gain business understanding and identify business problem. Understand the project objectives and gather requirements to build a preliminary plan.

b. Research and gather appropriate data from various sources. Source, extract, assemble, collate, and consolidate data needs for the business.

c. Profile and prepare data for analysis.

d. Build and execute models to analyze business outcomes, using tables, graphs, and charts, as well as algorithms, forecasts, and trends.

e. Interpret results, identify key findings to quantify business value.

f. Develop a narrative to summarize and convey findings to stakeholders. Make recommendations based on findings.

g. Create, update, and maintain a production schedule for reporting and ensure reports and presentations are completed on schedule.

h. Manage multiple projects simultaneously and support corporate process improvement initiatives, meeting aggressive timeframes.

i. Collaborate with peers to identify reporting objectives and develop reports and analyses that meet their need and drive Wellmark's value proposition for stakeholders.

j. Wrangle data from a wide variety of data sets and assemble into normalized and enriched data assets that enables new insights, solutions, and visualizations. Perform and document data profiling, quality assessment, source consolidation, aggregation, and other data manipulation efforts, to understand data formats, source systems, file sizes, etc.

k. Create, update, and maintain documentation and procedures for sourcing, analyzing, and preparing internal reporting and presentations. Ensure the highest quality and integrity of data sources.

l. Other duties as assigned.

An Equal Opportunity Employer

The policy of Wellmark Blue Cross Blue Shield is to recruit, hire, train and promote individuals in all job classifications without regard to race, color, religion, sex, national origin, age, veteran status, disability, sexual orientation, gender identity or any other characteristic protected by law.

Applicants requiring a reasonable accommodation due to a disability at any stage of the employment application process should contact us at [emailย protected]

Please inform us if you meet the definition of a "Covered DoD official".

At this time, Wellmark is not considering applicants for this position that require any type of immigration sponsorship (additional work authorization or permanent work authorization) now or in the future to work in the United States. This includes, but IS NOT LIMITED TO: F1-OPT, F1-CPT, H-1B, TN, L-1, J-1, etc. For additional information around work authorization needs please refer to the following resources:Nonimmigrant Workers and Green Card for Employment-Based Immigrantsย 

Wellmark supports and expects the responsible use of AI for our workforce! We welcome the responsible use of these tools by job seekers as well and are interested in learning from you; you will have an opportunity in the application process to share which tools you used and how you applied them.ย