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Temporary Data Scientist Machine Learning Jobs in Concord, CA

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 ...

Find Data Science

Data Scientist

San Francisco, CA

Data Scientist - San Francisco We are seeking a talented and experienced Data Scientist to join our ... Your expertise in data analysis, machine learning, and statistical modeling will enable you to ...

Match Point Solutions

Data Scientist

Pleasanton, CA · Remote

$75 - $80/hr

Applies data science, machine learning and other analytical modeling methods to develop defensible and reproducible predictive models * Serves as the technical lead for the development of computer ...

Nash, Inc.

Senior Data Scientist

San Francisco, CA · On-site +1

What you'll bring * 4+ years of experience as a Data Scientist, Machine Learning Engineer, or in a ... related quantitative role. * Experience in logistics, marketplaces, supply chain, operations ...

CYNET SYSTEMS

Principal Data Scientist

Oakland, CA · On-site

$128 - $148/hr

Master's Degree in Data Science, Machine Learning, Computer Science, Civil Engineering, Mechanical Engineering, Electrical Engineering, Statistics, or equivalent field. * Experience in Data Science ...

Nash

Senior Data Scientist

San Francisco, CA · On-site

$180 - $240/hr

What you'll bring * 4+ years of experience as a Data Scientist, Machine Learning Engineer, or in a ... related quantitative role. * Experience in logistics, marketplaces, supply chain, operations ...

Tacit

Machine Learning Scientist

San Francisco, CA · On-site

$180K - $270K/yr

About the role As a Machine Learning Scientist , you will develop cutting-edge AI models to integrate and decode complex, multimodal data streams from our custom sensing hardware. You'll play a ...

Tacit

Machine Learning Scientist

San Francisco, CA · On-site

$180 - $270/hr

As a Machine Learning Scientist, you will develop cutting‑edge AI models to integrate and decode complex, multimodal data streams from our custom sensing hardware. You'll play a pivotal role in ...

MasterCard

Senior Data Scientist

San Francisco, CA

Title and Summary Senior Data Scientist Overview: We are seeking a Senior Data Scientist to design ... Design, build, and deploy machine learning models for ad targeting, ranking, and bidding ...

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All JobsData Scientist Machine Learning JobsTemporary Data Scientist Machine Learning JobsTemporary Data Scientist Machine Learning Jobs in Concord, CA

Temporary Data Scientist Machine Learning information

See Concord, CA salary details

$41.1K

$134.7K

$215.6K

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

As of Aug 31, 2026, the average yearly pay for temporary data scientist machine learning in Concord, CA is $134,677.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,100.00 and $149,200.00 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.

What are the most commonly searched types of Data Scientist Machine Learning jobs in Concord, CA?

The most popular types of Data Scientist Machine Learning jobs in Concord, CA are:

What are popular job titles related to Temporary Data Scientist Machine Learning jobs in Concord, CA?

For Temporary Data Scientist Machine Learning jobs in Concord, CA, the most frequently searched job titles are:

What job categories do people searching Temporary Data Scientist Machine Learning jobs in Concord, CA look for?

The top searched job categories for Temporary Data Scientist Machine Learning jobs in Concord, CA are:

What cities near Concord, CA are hiring for Temporary Data Scientist Machine Learning jobs?

Cities near Concord, CA with the most Temporary Data Scientist Machine Learning job openings:

Temporary Data Scientist Machine Learning jobs near you
Infographic showing various Temporary Data Scientist Machine Learning job openings in Concord, CA as of August 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $134,677 per year, or $64.7 per hour.

Data Scientist

Fremont, CA • On-site

Info Way Solutions
IT Services • 51 - 200 employees
Learn more about Info Way Solutionsexternal

Full-time

Re-posted 7 days ago

Job description

Job Summary:
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 learning models, analyzing large datasets, and collaborating with cross-functional teams to integrate solutions into existing systems.
Responsibilities:
• Analyze large datasets to extract meaningful insights and patterns that contribute to informed decision-making.
• Design, develop, and deploy machine learning models to solve complex business problems.
• Identify relevant features and perform data preprocessing to enhance model performance.
• Evaluate the performance of machine learning models using appropriate metrics and fine-tune them for optimal results.
• Communicate complex findings and insights to both technical and non-technical stakeholders through data visualization techniques.
• Collaborate with cross-functional teams to integrate machine learning solutions into existing systems or develop new applications.
• Stay abreast of the latest developments in data science and machine learning, and apply cutting-edge techniques to real-world problems.
Qualifications:
Required:
• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field.
• Proven experience as a Data Scientist or Machine Learning Engineer, with a strong portfolio of projects demonstrating practical applications of machine learning.
• Proficiency in programming languages such as Python or R. Experience with machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn) is highly desirable.
• Strong statistical analysis skills and the ability to derive actionable insights from data.
• Excellent problem-solving skills and the ability to approach business challenges with a data-driven mindset.
• Effective communication skills to convey complex technical concepts to both technical and non-technical stakeholders.
• A collaborative mindset with the ability to work in interdisciplinary teams.
Company:
Founded and incorporated in 2012 , Info Way Solutions is an IT services and consulting company headquartered in Fremont , CA. Founded in 2012, the company is headquartered in Fremont, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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