1

Temporary Data Scientist Machine Learning Jobs in Texas

Sr Data Scientist

Fort Worth, TX ยท On-site

$90 - $100/hr

Data Scientist - Machine Learning & Generative AI Location: Fort Worth, TX 76155 (Hybrid) Durations: 6-12+ Months with possible extension and conversions. Job Overview: We are seeking a Data ...

Data Scientist II Our Opportunity We are seeking a hands-on and highly motivated Data Scientist II ... In this role, you will help build AI-powered and machine learning solutions that improve customer ...

Senior Data Scientist

Richardson, TX ยท On-site

$109K - $190K/yr

Data Scientist II Our Opportunity We are seeking a hands-on and highly motivated Data Scientist II ... In this role, you will help build AI-powered and machine learning solutions that improve customer ...

Data Science & Machine Learning: * Strong foundation in mathematics, statistics, and machine learning * Experience with exploring and extracting insights from multi-dimensional datasets * Proficiency ...

Data Scientist

Dallas, TX ยท On-site

$65 - $75/hr

Roles & Responsibilities . 6+ years of experience in Machine Learning and Data Science. * Strong understanding of Generative AI, Retrieval Augmented Generation, Agentic Workflow, Statistical methods ...

This role sits at the intersection of applied research, machine learning engineering, data science, and business transformation. The ideal candidate combines strong technical expertise in Large ...

This role sits at the intersection of applied research, machine learning engineering, data science, and business transformation. The ideal candidate combines strong technical expertise in Large ...

About the Data Scientist position We are looking for a skilled Data Scientist who will help us ... Create predictive models and machine-learning algorithms * Modify and combine different models ...

Data Scientist

Austin, TX ยท On-site +1

About the Data Scientist position We are looking for a skilled Data Scientist who will help us ... Create predictive models and machine-learning algorithms * Modify and combine different models ...

As a Data Scientist , you will be responsible for assisting our clients envision, design, develop, and deploy machine learning solutions in Microsoft Azure. As part of a small, dynamic team, you will ...

... Machine Learning, or Data Scientist role Familiarity with a brand range of quasi-experimental Causal Inference techniques such as diff-in-diff, synthetic control method, panel analysis, regression ...

As a Data Scientist, you will apply strong expertise through the use of machine learning, data mining, and information retrieval to design, prototype, and build next generation advanced analytics ...

SWBC is seeking a talented individual to contribute to the development of machine learning models and analytical solutions that impact business performance. The Data Scientist II will work closely ...

next page

Showing results 1-20

Temporary Data Scientist Machine Learning information

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 Texas? The most popular types of Data Scientist Machine Learning jobs in Texas are:
What are popular job titles related to Temporary Data Scientist Machine Learning jobs in Texas? For Temporary Data Scientist Machine Learning jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Temporary Data Scientist Machine Learning jobs in Texas look for? The top searched job categories for Temporary Data Scientist Machine Learning jobs in Texas are:
What cities in Texas are hiring for Temporary Data Scientist Machine Learning jobs? Cities in Texas with the most Temporary Data Scientist Machine Learning job openings:

Sr Data Scientist

PTR Global

Fort Worth, TX โ€ข On-site

$90 - $100/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 8 days ago


Job description

Job Title: Data Scientist - Machine Learning & Generative AI
Location: Fort Worth, TX 76155 (Hybrid)
Durations: 6-12+ Months with possible extension and conversions.
Job Overview:
We are seeking a Data Scientist to support the Service Recovery Modernization initiative. This resource will be embedded within the project team and will take ownership of the end-to-end development of machine learning and Generative AI solutions. The ideal candidate will have strong experience in data preparation, data pipeline development, machine learning, and deploying AI applications into production.
Required:
  • Experience working as a Data Scientist, Machine Learning Engineer, or in a similar role.
  • Strong experience with data preparation, cleansing, transformation, and feature engineering.
  • Hands-on experience designing and developing data pipelines.
  • Strong programming skills in Python and SQL.
  • Experience developing, testing, and deploying machine learning models.
  • Experience building Generative AI or large language model applications.
  • Understanding of the complete ML lifecycle, including development, validation, deployment, and monitoring.
  • Experience working with structured and unstructured datasets.
Preferred:
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud.
  • Experience with ML frameworks such as scikit-learn, TensorFlow, or PyTorch.
  • Knowledge of LLM orchestration, prompt engineering, embeddings, vector databases, and Retrieval-Augmented Generation.
  • Experience with MLOps tools, CI/CD pipelines, model monitoring, and containerized deployment.
  • Experience delivering AI solutions for customer service, operational recovery, or process modernization initiatives.
  • Familiarity with data governance, model governance, and responsible AI practices.
Responsibilities:
  • Work closely with the Service Recovery Modernization team to understand business needs and identify AI and machine learning opportunities.
  • Collect, clean, transform, and prepare structured and unstructured data for analysis and modeling.
  • Design, build, and maintain reliable data pipelines for ML and Generative AI applications.
  • Develop, train, test, and validate machine learning models.
  • Design and develop Generative AI applications using large language models.
  • Deploy ML and GenAI solutions into production environments.
  • Monitor model performance, accuracy, reliability, and data quality.
  • Troubleshoot data, pipeline, and model-related issues.
  • Collaborate with data engineers, software engineers, product owners, and business stakeholders.
  • Document data processes, model designs, testing results, and deployment procedures.
  • Follow security, privacy, governance, and responsible AI standards

Pay Range: $90 - $100
The specific compensation for this position will be determined by several factors, including the scope, complexity, and location of the role, as well as the cost of labor in the market; the skills, education, training, credentials, and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits, including medical, dental, vision, and 401K contributions, as well as PTO, sick leave, and other benefits mandated by applicable state or localities where you reside or work.
If you receive a suspicious message, email, or phone call claiming to be from PTR Global do not respond or click on any links. Instead, contact us directly at +1 . To report any concerns, please email us at
During the hiring process, we may use artificial intelligence (AI) tools to assist in evaluating information related to your application. These tools may help analyze job-related qualifications or assist recruiters in reviewing applications and interview responses. AI-generated information is one factor considered in our hiring process. Final employment decisions are made by qualified hiring personnel and are not based solely on AI-generated recommendations.
#LI-NP4