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Temp F1 Data Science Jobs (NOW HIRING)

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 ...

nLIGHT

Temporary Data Scientist

Vancouver, WA · On-site

$45 - $58/hr

We are seeking a Temporary Data Scientist to support analysis and data-driven decision-making ... D. in Data Science, Statistics, Computer Science, Engineering, or a related field is preferred.

nLIGHT

Temporary Data Engineer

Vancouver, WA

We are seeking a Temporary Data Engineer to support analysis and data-driven decision-making within ... D. in Data Science, Statistics, Computer Science, Engineering, or a related field is preferred.

T-Mobile

Senior Data Science Engineer

Philadelphia, PA · On-site

$116K - $210K/yr

You'll collaborate with engineers, data scientists, product managers, and other stakeholders to ... At T-Mobile, employees in regular, non-temporary roles are eligible for an annual bonus or periodic ...

Publicis Groupe Holdings B.V

Data Scientist

Manhattan, NY · On-site

$72K - $109K/yr

... Data Science practice. Qualifications We're looking for relevant academic, research or work ... Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan ...

Truist

Fraud Data Scientist II

Atlanta, GA

Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United ... science solution design, technical delivery, and measurable business outcome. 4. Engage in ...

Truist Bank

Fraud Data Scientist II

Charlotte, NC · On-site

Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United ... science solution design, technical delivery, and measurable business outcome. 4. Engage in ...

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

As of Jul 23, 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:
Temp F1 Data Science jobs near you
Senior Data Scientist

Senior Data Scientist

Crown Equipment Corporation

New Bremen, OH • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago

Crown Equipment Corporation rating

7.9

Company rating: 7.9 out of 10

Based on 255 frontline employees who took The Breakroom Quiz

170th of 433 rated machine equipment manufacturers

Job description

Company Description:
Crown Equipment Corporation is a leading innovator in world-class forklift and material handling equipment and technology. As one of the world's largest lift truck manufacturers, we are committed to providing the customer with the safest, most efficient and ergonomic lift truck possible to lower their total cost of ownership.
Job Posting External
Primary Responsibilities
  • Build and maintain scalable data science pipelines and workflows using modern tools and frameworks.
  • Implement MLOps practices to ensure model reproducibility, monitoring, and lifecycle management.
  • Collaborate with data engineering teams to ensure data quality, accessibility, and pipeline reliability.
  • Deploy models into production environments and monitor performance over time.
  • Develop and maintain code libraries, documentation, and best practices for data science work.
  • Identify high-value opportunities where advanced analytics can drive business outcomes.
  • Evaluate and recommend new tools, technologies, and approaches to enhance data science capabilities.
  • Lead proof-of-concept initiatives to demonstrate the value of innovative analytical approaches.
  • Establish standards and frameworks for data science work across the organization
  • Design, develop, and deploy predictive and prescriptive models to address key business challenges in manufacturing, supply chain, quality, and operations.
  • Build machine learning models for demand forecasting, production optimization, predictive maintenance, quality prediction, and yield improvement.
  • Develop statistical models to identify root causes of process variations, defects, and operational inefficiencies.
  • Create optimization algorithms for resource allocation, production scheduling, and inventory management.
  • Apply natural language processing and computer vision techniques where applicable to manufacturing use cases.
  • Conduct A/B testing and experimental design to validate hypotheses and measure impact of interventions.
  • Partner with business stakeholders across manufacturing, operations, supply chain, quality, and maintenance to understand requirements and pain points.
  • Work closely with data engineers, analysts, and IT teams to integrate data science solutions into business processes.

Minimum Qualifications
  • Bachelor's degree in Computer Science, Data Science, Statistics, or a related field, along with at least 5 years of experience
    • Non-degree considered if 12+ years of related experience along with a high school diploma or GED

Preferred Qualifications
  • 6 years of relevant project experience in successfully launching, planning, and executing data science projects, including statistical analysis, data engineering, and data visualization.
  • Experience leading projects that apply ML and data science to business functions.
  • Fluency in multiple programming languages and statistical analysis tools such as Python, C++, JavaScript, R, SAS, Excel, SQL, MATLAB, SPSS.
  • Knowledge of statistical and data mining techniques such as GLM/regression, random forest, boosting, trees, text mining, hierarchical clustering, deep learning, CNN, RNN.
  • Strong understanding of AI, its potential roles in solving business problems, and the future trajectory of generative AI models.
  • MS in quantitative discipline (Computer Science, Data Science, Statistics or related fields).
  • Knowledge of Six Sigma, Lean Manufacturing, or related process improvement methodologies.
  • Experience with predictive maintenance, quality analytics, or process optimization in manufacturing.
  • Familiarity with IIoT platforms and edge computing.
  • Experience with computer vision applications for quality inspection or process monitoring.
  • Publications or presentations at data science conferences or in peer-reviewed journals.
  • Certifications in cloud platforms (Azure, AWS) or data science specializations.

Work Authorization:
Crown will only employ those who are legally authorized to work in the United States. This is not a position for which sponsorship will be provided. Individuals with temporary visas or who need sponsorship for work authorization now or in the future, are not eligible for hire.
No agency calls please.
Compensation and Benefits:
Crown offers an excellent wage and benefits package for full-time employees including Health/Dental/Vision/Prescription Drug Plan, Flexible Benefits Plan, 401K Retirement Savings Plan, Life and Disability Benefits, Paid Parental Leave, Paid Holidays, Paid Vacation, Tuition Reimbursement, and much more.
EOE Veterans/Disabilities

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About Crown Equipment

Sourced by ZipRecruiter

Crown Equipment Corporation is a leading innovator in world-class forklift and material handling equipment and technology. As one of the world's largest lift truck manufacturers, we are committed to providing the customer with the safest, most efficient and ergonomic lift truck possible to lower their total cost of ownership.

Industry

Trucking and warehousing and storage

Company size

10,000+ Employees

Headquarters location

New Bremen, OH, US

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