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Temporary Data Scientist Machine Learning Jobs in Dublin, CA

... Data Analytics and Quality group is seeking an expert in evaluating machine learning and deep ... scientists, and ML Infrastructure engineers to deliver amazing user experiences! Description ...

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 ...

... Data Analytics and Quality group is seeking an expert in evaluating machine learning and deep ... scientists, and ML Infrastructure engineers to deliver amazing user experiences! Description ...

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 ...

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 ...

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 ...

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Temporary Data Scientist Machine Learning information

See Dublin, CA salary details

$42.2K

$138.2K

$221.3K

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

As of Aug 20, 2026, the average yearly pay for temporary data scientist machine learning in Dublin, CA is $138,228.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,900.00 and $153,200.00 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 popular job titles related to Temporary Data Scientist Machine Learning jobs in Dublin, CA?

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

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

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

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

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

Infographic showing various Temporary Data Scientist Machine Learning job openings in Dublin, CA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $138,228 per year, or $66.5 per hour.

Data Scientist with Machine Learning and NLP

3MK Software Solutions

San Jose, CA • On-site

Full-time

Re-posted 27 days ago


Job description

Company Description

3MK Software Solutions is the leading software service soltions provider and IT Staffing Supplier company, outsourcing and complex implementation services for the business across different functional areas and technologies with a core focus on software development and web designing development and GIS Software solutions and services. Our team is our core strength, we have selected the most skilled and talented specialists from the IT industry, and we continuously invest in developing their capabilities. The core management has many years of experience and has successfully leaded complex projects for major corporate in the field of healthcare, communication, retail and finance. During the term of these projects, the team had needed to develop an advanced implementation methodology.

Job Description

JD:
We are seeking a smart and engaged Data Scientist to work with our large data sets. As an intelligence connection & search-product oriented firm you can imagine the amount of data we're uncovering.

We need your help developing advanced mathematical and statistical models to map data and deliver web analytics.

Our product is widely utilized but is perhaps most useful in an academic and / or research capacity.

Natural Language Processing (NLP), and Machine Learning

Minimum Required Skills: R, Python, SQL, SQL, Hadoop, Algorithms, Machine Learning, Data Mining

Data Scientist - machine learning & NLP modeling

Machine learning development and deployment

advanced NLP modeling

big data framework experience (Spark, MapReduce)

Bachelor's or Master's degree in Computer Science, Statistics, or Mathematics

Develop statistical modeling techniques for pattern recognition problems.

Develop code in Python, R, and SQL, or other object oriented languages for modeling optimization, simulation, and statistical analysis.

Build models that maximize performance and accuracy

Strategic planning and project management.

Additional Information

All your information will be kept confidential according to EEO guidelines.