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Temporary Data Scientist Machine Learning Jobs (NOW HIRING)

Info Way Solutions

Data Scientist

Fremont, CA · On-site

Infosys/Apple is seeking a highly skilled and motivated Data Scientist / Machine Learning Engineer to join their team. The role involves developing and implementing advanced analytics and machine ...

Athena Technology Group, Inc. (ATG)

ATG is an Equal Opportunity/Affirmative Action Employer Minorities/Females/Vets/Disability Job Summary We are seeking a Data Scientist / Machine Learning Engineer to support advanced analytics and ...

Teccon GmbH & Co. KG

$68.51 - $85.64/hr

... durch Machine Learning und AI und arbeitest mit Tools wie SAP BDC und MS Power Plattform * Du ... SAP Business Data Cloud & MS Power Plattform * Du bringst mehrere Jahre Erfahrung im ...

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How much do temporary data scientist machine learning jobs pay per year?

As of Sep 5, 2026, the average yearly pay for temporary data scientist machine learning 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 does a temporary data scientist specializing in machine learning do?

A Temporary Data Scientist specializing in Machine Learning is responsible for designing, building, and deploying machine learning models to analyze data and generate insights, but works on a contract or short-term basis. Their duties often include data preprocessing, model selection and validation, and communicating results to stakeholders. They may also be tasked with automating processes, cleaning large datasets, and collaborating with other teams to implement solutions. The temporary nature of the job means they often focus on specific projects or provide support during peak periods.

What are the key skills and qualifications needed to thrive as a temporary data scientist specializing in machine learning?

To thrive as a Temporary Data Scientist Machine Learning, you generally need a strong background in statistics, programming (Python or R), and experience with machine learning algorithms, often supported by a degree in computer science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau), machine learning libraries (such as scikit-learn, TensorFlow, or PyTorch), and version control systems (e.g., Git) is typically required. Strong problem-solving abilities, adaptability, and effective communication are crucial soft skills for collaborating with teams and translating technical findings to stakeholders. These skills ensure that temporary data scientists can quickly contribute actionable insights, drive data-driven decisions, and add value within a limited time frame.

What are some typical projects or tasks a temporary data scientist specializing in machine learning might work on?

As a temporary Data Scientist focusing on machine learning, you can expect to work on short-term, high-impact projects such as building predictive models, cleaning and preparing data, or developing automated analytics solutions. You may be brought in to support ongoing initiatives, provide expertise for a specific project phase, or help accelerate a backlog of tasks. Collaboration is common, and you'll likely work closely with data engineers, business analysts, and domain experts to understand requirements and deliver actionable insights within tight deadlines. This role offers exposure to diverse datasets and tools, and is an excellent opportunity to rapidly expand your experience and network.

What is the difference between Temporary Data Scientist Machine Learning vs Temporary Data Analyst?

AspectTemporary Data Scientist Machine LearningTemporary Data Analyst
Required CredentialsBachelor's/Master's in Data Science, Computer Science, or related fields; knowledge of ML algorithmsBachelor's in Statistics, Mathematics, or related fields; proficiency in data analysis tools
Work EnvironmentProject-based, collaborative teams, tech-focused companiesBusiness units, reporting teams, data-driven departments
Employer & Industry UsageTech firms, finance, healthcare, e-commerceRetail, marketing, finance, consulting

Temporary Data Scientist Machine Learning roles focus on developing and deploying machine learning models, requiring advanced analytics skills. Temporary Data Analysts primarily interpret data, generate reports, and support decision-making. While both roles involve data handling, Data Scientists with ML expertise work on predictive modeling, whereas Data Analysts focus on descriptive analytics. The choice depends on the project needs and skill requirements.

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Temporary Data Scientist Machine Learning jobs near you
Infographic showing various Temporary Data Scientist Machine Learning job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data Scientist - Machine Learning - 10% 401k - FS Poly

stanleyreid

Reston, VA • On-site

$110 - $160/hr

Other

Medical, Retirement, PTO

Re-posted 23 days ago

Job description

Data Scientist - Machine Learning - 10% 401k - FS Poly
  • Reston, VA

Founded in 2010 by a technical leader, our client fosters a unique blend of collaborative spirit and professional excellence in IT consulting. Their laid‑back, supportive environment encourages continuous learning with certification bonuses and flexible schedules. They demonstrate their commitment to employee well‑being with industry‑leading salaries, comprehensive benefits (10% 401k match, fully‑paid medical, 6 weeks PTO), and a strong focus on work‑life balance. With a portfolio of over 30 contracts across Maryland and Virginia, they offer the stability of large firms while retaining a close‑knit, small‑company feel. If you're a passionate tech professional seeking growth within a thriving team, this could be your perfect fit.

They are seeking a Data Scientist to join their team.

Relevant qualifications:
  • Bachelor's Degree
  • Experience with Python or R
  • Data visualization experience
  • Experience with Big Data tools
  • Experience with SQL
Desired:
  • Experience with NLP
  • Experience with cloud platforms
  • Knowledge of deep learning frameworks

This role is located in Reston, VA and requires a TS/SCI + Full-Scope Polygraph

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