1

Temporary Data Scientist Machine Learning Jobs in Dallas, TX

JD: * 7+ yrs of experience as data scientist or related roles. * Deep understanding and some ... Artificial intelligence/Machine learning.

We apply bespoke and cutting-edge arsenal of analytical, statistical and machine learning ... Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan ...

Data Scientist

Plano, TX ยท On-site

$75 - $80/hr

As a Performance Assurance Machine Learning Engineer, you will work under the coaching of Senior and Lead engineers of the Data Science & Tools Team to analyze Client's deployed network elements. You ...

Key Responsibilities Structured Data - Machine Learning & Analytics * Build, deploy, and optimize ... Core Data Science Engineering & MLOps * Work in Databricks for ETL, feature engineering, ML ...

The Senior Machine Learning Scientist develops advanced algorithms and models to extract valuable ... Data Analysis: Analyze large, diverse data sets to identify patterns, trends, and insights that ...

The Senior Machine Learning Scientist develops advanced algorithms and models to extract valuable ... Data Analysis: Analyze large, diverse data sets to identify patterns, trends, and insights that ...

Machine Learning Engineer

Addison, TX ยท On-site +1

$110K - $130K/yr

... Scientists, Data Engineers, and Data Architects on production systems and applications Stay up-to-date with industry trends and advancements in artificial intelligence/machine learning On call ...

Showing results 21-40

Temporary Data Scientist Machine Learning information

See Dallas, TX salary details

$37.1K

$121.4K

$194.4K

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

As of Aug 8, 2026, the average yearly pay for temporary data scientist machine learning in Dallas, TX is $121,417.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,400.00 and $134,500.00 per year, depending on experience, location, and employer.

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 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 are the most commonly searched types of Data Scientist Machine Learning jobs in Dallas, TX? The most popular types of Data Scientist Machine Learning jobs in Dallas, TX are:
What are popular job titles related to Temporary Data Scientist Machine Learning jobs in Dallas, TX? For Temporary Data Scientist Machine Learning jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Temporary Data Scientist Machine Learning jobs in Dallas, TX look for? The top searched job categories for Temporary Data Scientist Machine Learning jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Temporary Data Scientist Machine Learning jobs? Cities near Dallas, TX with the most Temporary Data Scientist Machine Learning job openings:
Infographic showing various Temporary Data Scientist Machine Learning job openings in Dallas, TX as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $121,417 per year, or $58.4 per hour.

Data Scientist / Predictive Analytics Engineer

Plugins Inc

Dallas, TX โ€ข On-site

Other

Posted 11 days ago


Job description

Data Scientist / Predictive Analytics Engineer Location: Dallas, TX (Hybrid, 3 days onsite per week) Employment Type: Full-Time / Contract (W2) Duration: Long-Term Work Authorization: Open to candidates authorized to work in the U.S. Interview Process: Video Interview followed by Client Interview We are seeking a talented Data Scientist to join our growing analytics team in Dallas, TX. The ideal candidate will have experience building predictive models, developing machine learning solutions, and transforming complex datasets into actionable business insights. will work closely with product, engineering, and business stakeholders to drive data-driven decision making and improve business outcomes. Required Skills * 2+ years of professional experience as a Data Scientist. * Strong programming skills in Python or R. * Advanced SQL skills with experience querying complex relational databases. * Hands-on experience with machine learning frameworks such as: * Scikit-Learn * TensorFlow * PyTorch * Experience with statistical modeling, predictive analytics, and feature engineering. * Strong understanding of: * Regression Analysis * Hypothesis Testing * Probability & Statistics * Experience with data visualization tools such as: * Tableau * Power BI * Matplotlib * Excellent analytical, problem-solving, and communication skills. Preferred Qualifications * Experience working with cloud platforms such as AWS, Azure, or GCP. * Knowledge of data pipelines, ETL processes, and big data technologies. * Experience with MLOps, model deployment, and monitoring is a plus. * Familiarity with version control systems such as Git. Education * Bachelorโ€™s or Masterโ€™s degree in Computer Science, Data Science, Statistics, Mathematics, Analytics, or a related quantitative field.