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Temporary Data Scientist Machine Learning Jobs in Dallas, TX

Senior Data Scientist

Frisco, TX · On-site

$128 - $180/hr

The Risk Data Science team is looking for a Senior Data Scientist to develop advanced machine learning and statistical models, guide measurement, strategy, and data-driven decision making to support ...

New

Data Scientist / ML Engineer Year Of Experience : 7+ years Location: Overland Park KS/ Frisco TX ( ... Expertise with scaling pilot machine learning solutions to a large scale production environment ...

New

Sr. Machine Learning Engineer

Dallas, TX · On-site +1

$103K - $142K/yr

... Data Scientist, Machine Learning Engineer, or a related/similar position. Experience therein to include the following: * 5 years in designing and deploying enterprise-level machine learning systems ...

Role: Data Scientist Location: Irving, TX - Fulltime Position Data Scientist with Generative AI ... Machine learning, NLP & deep learning: Strong understanding of supervised and unsupervised learning ...

Machine Learning & Analytics * Develop and deploy machine learning models and predictive analytics ... What We Are Looking For * Bachelor's degree in computer science, Data Science, Analytics ...

New

DATA SCIENTIST W2 Candidates only Addison, TX/ Chandler, AZ/ Kennesaw, GA Years of Experience ... experience in building Machine Learning NLP Models and good familiarity with Gen AI Models.

Data Scientist

Westlake, TX · On-site

$150 - $230/hr

Design, develop, and deploy production‑grade machine learning systems that directly impact ... Lead and mentor a team of data scientists, fostering a culture of technical excellence, creativity ...

New

Develop and maintain advanced AI/machine learning models and algorithms. * Design and implement ... D. inComputerScience, Data Science, Machine Learning, or a related field. * Prior consulting ...

Develop and maintain advanced AI/machine learning models and algorithms. * Design and implement ... D. inComputerScience, Data Science, Machine Learning, or a related field. * Prior consulting ...

Develop and maintain advanced AI/machine learning models and algorithms. * Design and implement ... D. inComputerScience, Data Science, Machine Learning, or a related field. * Prior consulting ...

Machine Learning & Analytics * Develop and deploy machine learning models and predictive analytics ... What We Are Looking For * Bachelor's degree in computer science, Data Science, Analytics ...

New

Sr. Data Scientist

Richardson, TX · On-site

$113K - $148K/yr

Machine Learning & Analytics * Develop and deploy machine learning models and predictive analytics ... Bachelor's degree in computer science, Data Science, Analytics, Statistics, Business, Information ...

New

Showing results 41-60

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.

Sr. Associate, Data Scientist

Revantage Corporate Services

Dallas, TX • On-site

$123K - $164K/yr

Full-time

Medical, Retirement, PTO

Posted 8 days ago


Job description

Who We Are
Revantage, a Blackstone Real Estate portfolio company, is a global provider of corporate services.
With a corporate purpose of 'In Pursuit of Better,' Revantage delivers value-added services and world-class talent for Blackstone Real Estate portfolio companies, spanning diverse asset classes, including residential, logistics, office, hospitality and retail sectors. Headquartered in Chicago, the company's footprint extends across North America, Europe and Asia Pacific.
Rooted in a commitment to collaboration and inclusivity, Revantage goes beyond traditional corporate services and acts as a trusted partner. Across offerings that include finance, technology, human resources and operations, Revantage proactively anticipates stakeholder needs, recruits exceptional talent and enables its business partners to thrive.
What We Value: Our Culture
Our people are our most important asset, enabling Blackstone portfolio companies and investments to scale and thrive. Together, we foster a workplace where everyone can be themselves, enabling them to do their best work.
At Revantage, we have exceptional people who live our values and help us pursue better every day. We offer dynamic and meaningful work, competitive compensation, benefits and flexibility. We listen and take action to ensure our organization evolves to reflect our employees' voices and support an inclusive culture.
Our demonstrated commitment to our people and collaborative culture have earned us numerous awards as a top employer.
Our culture is built on our shared core values and commitment to be:
  • Learners - We learn from our challenges and successes
  • Leaders - We commit to continuous improvement
  • Enthusiasts - We face challenges with optimism and believe anything is possible
  • Achievers - We expect high standards for ourselves and enable the success of our teams
  • Partners - We deliver value and positive impact to our partners

Grow your career with us. As a member of our team, you'll gain hands-on experience in the real estate industry and benefit from a supportive environment that fosters personal and professional growth.
Why This Role Is Valuable
The Data Scientist at Revantage will develop and deploy machine learning models to optimize revenue management and pricing strategies, analyze large datasets to generate actionable business insights, and collaborate cross-functionally to align data initiatives with company goals. This role directly impacts business operations for Blackstone Portfolio Companies by improving decision-making and operational efficiency through advanced analytics. It offers the chance to contribute to high-visibility projects that drive measurable value across the organization.
How You Add Value
  • Build and deploy machine learning models to optimize revenue management and pricing strategies.
  • Analyze large datasets to develop models that can drive more informed and consistent business decision-making.
  • Collaborate with peers outside the data science team to align data science initiatives with business goals.
  • Continuously evaluate and improve model performance through testing, tuning, and validation.
  • Document processes, methodologies, and findings for both technical and non-technical audiences.

What You Bring To The Role
Required:
  • 3-6 years of professional experience in data science, machine learning, software engineering, or related fields, leveraging statistics and programming to drive business decisions.
  • Proven expertise in building machine learning models, including predictive and forecasting models, optimizing business operations and decision-making.
  • Experience working in fast-paced environments while producing rigorous, well-documented work.
  • Demonstrated ability to work effectively within a team, producing and reviewing code written by peers.
  • Bachelor's degree in relevant field, e.g., statistics, computer science, data science, etc.

Technical Skills:
  • Advanced proficiency in Python, including libraries such as scikit-learn and statsmodels.
  • Strong expertise in SQL for data extraction and transformation.
  • Familiarity with GitLab/Azure Devops for collaborative development and version control.
  • Strong understanding of evaluation metrics and hyperparameter tuning for machine learning models.
  • Solid grounding in statistics for inference and analysis.
  • Familiarity with time series analysis, regression models, and econometric techniques.

Preferred:
  • Familiarity with revenue management theory and pricing strategies is a plus.
  • Experience in real estate finance or operations is a plus.
  • Advanced degree (master's or Ph.D.) in a relevant field is a plus.

Base Compensation Range:
$123,684.00 To $164,868.00 Annually. This represents the presently-anticipated low and high end of the Company's base compensation range for this position. Actual base compensation range may vary based on various factors, including but not limited to location and experience.
Total Direct Compensation:
This job is also eligible for discretionary bonus and incentive compensation on an annual basis.
Benefits: The Company provides a variety of benefits to employees, including health insurance coverage, retirement savings plan, paid holidays and paid time off (PTO).
The additional total direct compensation and benefits described above are subject to the terms and conditions of any governing plans, policies, practices, agreements, or other materials or documents as in effect from time to time, including but not limited to terms and conditions regarding eligibility.
Perks for You
  • Competitive salary, overall compensation, and 401(k)
  • Work-life balance offerings include:
    • Hybrid Work Policy
    • Productivity Hours - weekly meeting-free work time
    • Summer Fridays
    • Work From Anywhere Month
  • In-house and external learning & development opportunities
  • Generous health insurance and wellness benefits

Please review the Job Applicant Privacy Notice.
EEO Statement
Revantage is an equal opportunity employer. In accordance with applicable law, we prohibit discrimination against any applicant, employee, or other covered person based on any legally recognized basis, including, but not limited to: veteran status, uniformed servicemember status, race, color, caste, immigration status, religion, religious creed (including religious dress and grooming practices), sex, gender, gender expression, gender identity, marital status, sexual orientation, pregnancy (including childbirth, lactation or related medical conditions), age, national origin or ancestry, citizenship, physical or mental disability, genetic information (including testing and characteristics), protected leave status, domestic violence victim status, or any other consideration protected by federal, state or local law. We are committed to providing reasonable accommodations, if you need an accommodation to complete the application process, please email talent@revantage.com