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Temporary 2024 Data Science Jobs (NOW HIRING)

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 ...

In January of 2024, Hg Capital made a significant investment in CINC to accelerate the company ... science, statistics, and applied machine learning · Collaborate with Data Engineering and AI ...

In January of 2024, Hg Capital made a significant investment in CINC to accelerate the company ... science, statistics, and applied machine learning • Collaborate with Data Engineering and AI ...

Data Science - (College of Health and Sciences) Opening Date: 01/25/2024 Join our vibrant community ... Temporary, Contractors and Seasonal Employees: Individuals in this status are scheduled on an as ...

Data Scientist

New York, NY · On-site

$130K - $150K/yr

... 2024. We're now expanding into adjacent verticals (e.g. home, motorcycle, RV, etc) to become the one-stop-shop for all your physical assets. Why We're Hiring Our Data Science & Analytics team has ...

... 2024. We're now expanding into adjacent verticals (e.g. home, motorcycle, RV, etc) to become the one-stop-shop for all your physical assets. Why We're Hiring Our Data Science & Analytics team has ...

Required : • Master's degree in data science; bachelor's degree in materials science, chemistry ... S. national, person lawfully admitted for permanent residence, temporary resident under sections ...

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Temporary 2024 Data Science information

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$37.5K

$122.7K

$196.5K

How much do temporary 2024 data science jobs pay per year?

As of Jul 1, 2026, the average yearly pay for temporary 2024 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 difference between Temporary 2024 Data Science vs Data Analyst?

AspectTemporary 2024 Data ScienceData Analyst
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fields; often some experience with machine learningBachelor's in Statistics, Mathematics, or related fields; proficiency in data visualization and basic analytics
Work EnvironmentProject-based, often in tech, finance, or healthcare industries; collaborative teamsBusiness-focused, working with management to interpret data and generate reports
Employer & Industry UsageUsed by companies seeking advanced data modeling and predictive analyticsCommon in retail, marketing, and finance for reporting and operational insights

Temporary 2024 Data Science roles focus on developing predictive models and advanced analytics, requiring technical expertise in machine learning. Data Analysts primarily interpret data, create reports, and support decision-making with less emphasis on complex modeling. Both roles are essential but differ in technical depth and project scope.

More about Temporary 2024 Data Science jobs
What cities are hiring for Temporary 2024 Data Science jobs? Cities with the most Temporary 2024 Data Science job openings:
What are the most commonly searched types of 2024 Data Science jobs? The most popular types of 2024 Data Science jobs are:
What states have the most Temporary 2024 Data Science jobs? States with the most job openings for Temporary 2024 Data Science jobs include:
Infographic showing various Temporary 2024 Data Science job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 77% Full Time, 19% Part Time, 1% Temporary, and 2% Contract. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
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 20 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.