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Temp F1 Data Science Jobs (NOW HIRING)

Amazon

Sr Manager, Data Science & AI, R2L

Bellevue, WA · On-site

The R2L Science & AI team is the centralized data science and AI function serving all R2L business ... temporary employment. The benefits that generally apply to regular, full-time employees include ...

AllSTEM Connections

Data Scientist

Manhattan, NY · On-site

$114K - $129K/yr

This is a "full-stack" data science role. You won't just build models in a notebook; you will ... For temporary assignments lasting 13 weeks or longer, AllSTEM Connections is pleased to offer major ...

TaskRabbit

Staff Data Scientist

San Francisco, CA · On-site

$170 - $225/hr

W e are currently unable to provide visa sponsorship for this position (including H-1B, OPT, F1 ... About the Role Data Science plays a crucial role in driving impact at Taskrabbit. As a member of ...

Moffitt

Individuals holding temporary visas are not eligible. Join us in shaping the future of cancer ... of team science. Salary Range $69,804.80 - $97,726.72 Salary ranges posted for this position ...

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

As of Aug 13, 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 with skills in statistical analysis, machine learning, and programming tools like Python or R. Such roles typically require a strong background in data analysis, domain knowledge of motorsport, and the ability to work under tight deadlines in a high-pressure environment.

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:
Temp F1 Data Science jobs near you

Data Scientist - Modeling and Analytics

AAA Life Insurance Company

Livonia, MI • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Overview Why AAA Life AAA Life is a respected and trusted American brand that has been focusing on Life Insurance and Annuity Products since 1969. At AAA Life we have over 1.8 million policies where we take pride in earning the trust of our policyholders who understand our promise to be there for them - and their families - when we're needed most. By joining the AAA Life team, you are joining a company that genuinely cares about helping each other, with a devotion to protect the lives of those around us. We embrace a diverse, equitable, inclusive culture where all associates can feel a sense of belonging and use their unique talents and perspective to influence, innovate, motivate, and thrive. How You'll Work Work Solution: Hybrid Responsibilities What You'll Do As a Data Scientist - Modeling and Analytics, you will be responsible for creating statistical models and performing analyses that drive sales and policy growth for the organization. You will partner with marketing team members, marketing managers, and other data analysts and scientists to identify business needs, gather data, build, and maintain effective models, and assess model performance over time. This role requires proficiency in SQL for data manipulation, Sagemaker or other AI/ML tools for model building, R or Python for data analysis, and a visualization tool such as PowerBI for quickly assessing model performance.
  • Build, maintain, and automate models to predict purchase propensity, policy premium, policy lapse/retention, cross-selling, upselling, next best action, and other consumer behaviors using both internal data, census data, appended aggregated data, and macroeconomic data. Recommend marketing distribution strategies leveraging data and models.
  • Conduct advanced exploratory data analysis. Perform model interpretability and explainability analysis.
  • Leverage specific metrics for model performance evaluation (e.g., precision, recall, F1 score). Implement A/B testing and experimental design and quantitative benchmarks for model improvement
  • Apply data privacy and compliance rules under regulations like GDPR, CCPA. Apply ethical AI principles. Apply model fairness and bias mitigation techniques.
  • Conduct analyses to assess model performance and campaign performance, both against test datasets and actual results once deployed.
  • Forecast campaign results based on models built and validate forecast against actuals.
  • Work with marketing data architects and engineers to ensure data is clean, complete, correct, and suitable for modeling using AI/ML platforms.
  • Develop and maintain data pipelines. Implement feature engineering techniques. Find, recommend, and purchase additional data to use in model building
  • Proactively identify opportunities for model improvement and need for additional modeling projects.
  • Maintain clear and organized documentation of data, methodologies, and results.
  • Implement automation in existing processes to improve overall efficiency.
  • Perform ad hoc analysis to support Marketing Distribution efforts
  • Actively seek out innovation and optimization use cases and experiments that will result in organizational transformation and sales and profit improvements.
Qualifications Qualifications Basic Required Qualifications:
  • Skilled in cross-functional collaboration, agile methodologies, project management and stakeholder communication.
  • Advanced training or academic focus in non-parametric statistics, resampling methods, or Bayesian approaches for small sample inference
  • Experience applying sequential testing or multi-armed bandit approaches to maximize insights from limited samples in marketing contexts
  • Able to effectively communicate and translate complex, technical finding in a candid, clear, concise, and non-technical fashion to all audiences
  • Maintain perspective between the big picture and the tactical details. Remains aligned with the organization's strategic plan.
  • Stellar attention to detail, including maintaining accuracy and consistency across a suite of data science assets, keeping documentation up to date, and proactively identifying and addressing any quality concerns.
  • Self-starter with the ability to identify priorities and focus on items with high business impact.
  • Ability to present complex analytical findings with persuasiveness and succinctness.
Preferred Qualifications:
  • Master's degree in Statistics, Economics, Mathematics, Data Science, or related field. Experienced in marketing analytics or customer behavior modeling.
  • 5 to 7 years of experience in data science, including hands-on experience with Machine Learning (e.g., scikit-learn, TensorFlow, PyTorch, DataRobot, Databricks) and Generative Artificial Intelligence. Experience with automated model deployment and monitoring tools.
  • Possess outstanding analytical, modeling, problem-solving, and critical-thinking skills.
  • Experienced with cloud platforms such as AWS, Azure, and Google Cloud. Familiar with big data technologies (Spark, Hadoop)
  • Strong knowledge of machine learning algorithms and their applications in automated systems. Experience with advanced modeling techniques like ensemble methods, time series analysis, and probabilistic modeling
  • High proficiency in Python or R for statistical analysis, model development, and process automation. Proficient+ with SQL for data extraction and manipulation.
  • Proficiency with data visualization tools (Power BI, Tableau, or similar) and their automation capabilities
While performing the duties of this job, the employee is frequently required to stand, walk, sit, use hands to finger, handle, or feel, talk, hear and concentrate. Specific vision abilities required by this job include close vision, distance vision, depth perception, and ability to adjust focus. This job requires the ability to perform duties contained in the job description for this position, including, but not limited to, the above requirements. Reasonable accommodation will be made for otherwise qualified applicants as needed to enable them to fulfill these requirements. We are committed to ensuring equal employment opportunities for all job applicants and employees. Employment decisions are based upon job-related reasons regardless of an applicant's race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, marital status, genetic information, protected veteran status, or any other status protected by law. AAA Life Insurance Company does not offer immigration sponsorship for this position. This includes visa types such as H-1B, TN, and STEM OPT. Please do not apply if you currently require or may require employer-sponsored immigration support now or in the future. #LI-Hybrid

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