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Masters In Data Science Jobs in Texas (NOW HIRING)

MA or PhD degree in Computer Science, Engineering or other relevant area; graduate degree in Data Science or other quantitative field is preferred * Must be a U.S. Citizen

Oversees and engages in deep dive diagnostic, predictive, and prescriptive analytics to support ... Manages a team of data scientists responsible for a portfolio of diagnostic, predictive, and ...

Hands-on experience with enterprise data science solutions , preferably in retail, inventory management, or operations research. * Proficiency in Python, SQL, and PySpark. * Experience with ...

Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, or related quantitative field * 3+ years of experience in Data Science, Machine Learning ...

Minimum five years of experience in Data Science, Analytics, Machine Learning, Marketing Analytics, or a related quantitative field. * Demonstrated strength in at least one of the following areas:

Data Scientist - AI/ML

Alto, TX · On-site

$79.21 - $104.97/hr

This group is designed to bring Artificial Intelligence (AI), and other emerging machine learning (ML) based innovations in data science into healthcare and will partner closely with individuals ...

Data Scientist

Dallas, TX · 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 ...

Architect, Data Science

Arlington, TX · On-site

$150 - $200/hr

Founded in 2017, Lovelytics has helped some of the most complex enterprises across industries such ... As part of our growing Data Science practice, this role offers an exciting opportunity to lead ...

Showing results 41-60

Masters In Data Science information

What cities in Texas are hiring for Masters In Data Science jobs?

Cities in Texas with the most Masters In Data Science job openings:

Infographic showing various Masters In Data Science job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Data Scientist

Austin, TX • On-site, Remote

Full-time

Re-posted 19 days ago


Job description

About the Data Scientist position
We are looking for a skilled Data Scientist who will help us analyze large amounts of raw information to find patterns and use them to optimize our performance. You will build data products to extract valuable business insights, analyze trends and help us make better decisions.
We expect you to be highly analytical with a knack for analysis, math and statistics, and a passion for machine-learning and research. Critical thinking and problem-solving skills are also required.
Data Scientist responsibilities are:
  • Research and detect valuable data sources and automate collection processes
  • Perform preprocessing of structured and unstructured data
  • Design, implement and deliver maintainable and high-quality code using best practices (e.g. Git/Github, Secrets, Configurations, Yaml/JSON)
  • Review large amounts of information to discover trends and patterns
  • Create predictive models and machine-learning algorithms
  • Modify and combine different models through ensemble modeling
  • Organize and present information using data visualization techniques
  • Develop and suggest solutions and strategies to business challenges
  • Work together with engineering and product development teams

Data Scientist requirements are:
  • 3+ years' experience of working on Data Scientist or Data Analyst position
  • Significant experience in data mining, machine-learning and operations research
  • Experience with data modeling, design patterns, building highly scalable and secured solutions preferred
  • Prior experience installing data architectures on Cloud providers (e.g. AWS,GCP,Azure), using DevOps tools and automating data pipelines
  • Good experience using business intelligence/visualization tools (such as Tableau), data frameworks (such as Hadoop, DataFrames, RDDs, Dataclasses) and data formats (CSV, JSON, Parquet, Avro, ORC)
  • Advanced knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset
  • MA or PhD degree in Computer Science, Engineering or other relevant area; graduate degree in Data Science or other quantitative field is preferred
  • Must be a U.S. Citizen