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Temp F1 Data Science Jobs (NOW HIRING)

Intel

Data Science and Analytics Intern

Phoenix, AZ · On-site

This position offers a unique opportunity to apply data science principles in a high-impact ... temporary internship position Position is not eligible for Intel's immigration sponsorship ...

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 Scientist

Vancouver, WA

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 Scientist

Vancouver, WA

$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.

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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:
Temp F1 Data Science jobs near you
Director Artificial Intelligence & Data Science

Director Artificial Intelligence & Data Science

Alliant

Chicago, IL • On-site

$167K - $287K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 22 days ago

Job description

Responsible enterprise leader for defining and executing the organization's AI, advanced analytics, and data science strategy. Bridges business strategy, advanced analytics, and AI platform enablement to deliver measurable business outcomes, optimize decision-making, and drive responsible AI adoption at scale. Lead cross-functional teams to design, build, and operationalize advanced analytics models and enterprise AI platforms while ensuring alignment with regulatory requirements, governance standards, and ethical AI principles. Foster a data-driven culture and position the organization to maximize value from AI and analytics investments.
Essential Responsibilities
  • Define and execute the enterprise strategy for AI enablement, data science, and advanced analytics.
  • Translate business priorities into scalable AI, analytics, and platform roadmaps with clear outcomes.
  • Lead the design, implementation, and optimization of enterprise AI platforms, including MLOps/LLMOps capabilities.
  • Own the "Industrial" Use Case portfolio (i.e., large enterprise-grade AI use cases), including intake, prioritization, roadmap, execution, and value realization across enterprise AI and advanced analytics initiatives.
  • Lead decision science efforts spanning predictive modeling, optimization, experimentation, and decision strategy to improve business performance, risk outcomes, and operational efficiency.
  • Establish and scale reusable frameworks, standards, and tools to enable responsible AI adoption.
  • Deliver actionable insights and recommendations through data storytelling and visualization to influence decision-making.
  • Ensure compliance with Alliant's governance, regulatory, legal, privacy, and ethical AI requirements across solutions.
  • Partner with technology, data, risk, and business leaders to align AI and analytics initiatives with enterprise goals.
  • Drive adoption and value realization of AI and analytics solutions across the organization.
  • Establish and track KPIs to measure platform performance, model effectiveness, and business impact.
  • Evaluate and manage AI technologies, tools, and vendor partnerships.
  • Foster a culture of innovation, continuous learning, and enterprise-wide data and AI maturity.
  • Plan, oversee and lead the work of the team to meet functional and individual operational objectives and goals. Coach, mentor, and develop staff, including overseeing new employee onboarding and providing career development planning and opportunities. Responsible for hire, fire, performance, discipline and problem-resolution decisions.

Education & Years of Experience
  • Minimum - 4 Year Bachelors Degree in Computer Science, Data Science, Engineering, Finance Data or related
  • Preferred - Graduate Degree in Computer Science, Data Science, Engineering, Finance Data or related
  • Minimum - 10 Years of AI, data science, analytics, technology leadership role or related
  • Minimum - 5 Years of People Management

In Lieu of Education
  • 15 Years of AI, data science, analytics, technology leadership role including people management

Compensation & Benefits:
Typical hiring range: $167,700.00 to $287,500.00 Annually. Actual compensation will be determined using factors such as experience, skills & knowledge.
Benefits: Alliant provides a benefits package including health care, vision, dental, and 401k with employer match including:
  • Annual performance bonus
  • Work from home up to 3 days a week
  • Paid parental leave
  • Employee discount programs
  • Time off including paid personal and sick days
  • 11 paid holidays
  • Education reimbursement

*Note that eligibility and cost of benefits can vary depending on the number of regularly scheduled hours, and job status such as regular full-time, regular part-time, or temporary employment.
Adhere to and ensure compliance of all business transactions with policy and process of the Bank Secrecy Act. Ensures compliance with all applicable state and federal laws, company procedures and policies. Maintains integrity and ethics in all actions and conversations with or regarding credit union members and their accounts; complies with Privacy Act directives.
The responsibilities listed do not contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this position. Duties, responsibilities and activities may change at any time with or without notice.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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