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Internship Computer Data Scientist Jobs in Texas

Bachelor's in Computer Science, Data Science, Statistics, Engineering, Physics, Applied Mathematics, or related quantitative field. * 3+ years of experience in machine learning, applied AI, or ...

New

Data Scientist

Richardson, TX · On-site

$116K - $198K/yr

A degree (Master's or better preferred) in Computer Science, Data Science or related fields KNOWLEDGE/SKILLS/ABILITIES * Strong Python and SQL skills * Handson experience deploying models into ...

Bachelor's degree in computer science, statistics, applied math, data science, or a related field * 3-7 years of experience in data science, advanced analytics, or a related role * Demonstrated ...

Manage and mentor interns, junior data scientists and analysts * Translate advanced analytics results into strategic recommendations for VP and C-level leadership * Utilize programming languages such ...

Seeking Data Scientist that performs tasks associated with Big Data Platform management, utilizes ... computer science. TS/SCI with polygraph is required.

Bachelor's degree in computer science, statistics, applied math, data science, or a related field * 3-7 years of experience in data science, advanced analytics, or a related role * Demonstrated ...

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field * Minimum 8 years of experience in data science, analytics, or related discipline * Minimum 5 years of ...

New

Seeking Data Scientist that performs tasks associated with Big Data Platform management, utilizes ... computer science. TS/SCI with polygraph is required.

... Computer Science, Data Science, Statistics, Mathematics, Applied Mathematics, Engineering, Economics, Physics, Operations Research, Information Technology, etc. • TS/SCI Full Poly clearance • ...

... Computer Vision and Nature Language Processing (NLP) and GenAI to support the growing demand for ... Lead/mentor other data scientists, interns, and other technical work teams * Make strategic ...

Manage and mentor interns, junior data scientists and analysts * Translate advanced analytics results into strategic recommendations for VP and C-level leadership * Utilize programming languages such ...

Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science. A degree in a related field, a degree in ...

Data Scientist

Dallas, TX · On-site

$125K/yr

Requires a Master degree, or foreign equivalent degree, in Mathematics, Data Science, Computer Science, or Applied Statistics and 2 years of experience in the job offered or 2 years of experience in ...

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ year(s) data-science experience (e.g., managing structured ...

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field * Minimum 8 years of experience in data science, analytics, or related discipline * Minimum 5 years of ...

New

Master's degree in Data Science, Computer Science, related field or foreign equivalent. Required Related Occupation Experience : Two (2) years of related experience which must include experience in ...

Master's degree in Data Science, Computer Science, related field or foreign equivalent. Required Related Occupation Experience : Two (2) years of related experience which must include experience in ...

Bachelors degree in Statistics, Operations Research, Computer Science or equivalent. Knowledge and Skills: * Basic knowledge of data science methodologies. * Basic understanding of business ...

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Internship Computer Data Scientist information

What are the most commonly searched types of Computer Data Scientist jobs in Texas? The most popular types of Computer Data Scientist jobs in Texas are:

Data Scientist

Recru

Houston, TX • On-site

Full-time

Posted 5 days ago

New


Job description

Role Overview

We are seeking a Data Scientist to help build the next generation of industrial intelligence for our operations, reliability, maintenance, and performance optimization. This role sits at the intersection of applied machine learning, large-scale industrial telemetry, physics-informed analytics, and cloud software platforms.

You will develop and productionize advanced AI/ML models that transform high-frequency operational turbine data into actionable customer intelligence — reducing forced outages, improving availability, lowering O&M costs, and enabling predictive operations across fleets of industrial assets.

Key Responsibilities

Machine Learning

  • Design, develop, and deploy machine learning models for:
  • Predictive maintenance, Anomaly detection, Failure prediction, Remaining useful life (RUL) estimation, Operational optimization, Fleet-wide analytics
  • Build and train models using large-scale industrial telemetry and operational datasets.
  • Apply advanced ML techniques including:
  • Time-series forecasting, Deep learning, Statistical modeling, Unsupervised learning, Physics-informed ML approaches
  • Develop algorithms capable of handling noisy, sparse, and real-world operational data.
  • Evaluate model performance using operational KPIs and real-world production feedback.

Production ML & MLOps

  • Build scalable production pipelines to operationalize ML models into customer-facing products.
  • Develop infrastructure for:
  • Feature engineering, Automated retraining, Model monitoring, Drift detection, Experiment tracking, CI/CD for ML workflows
  • Deploy models across cloud and edge-computing environments.
  • Collaborate closely with software engineering teams to integrate ML capabilities into SaaS applications and operational workflows.

Cross-Functional Collaboration

  • Partner with controls engineers, reliability engineers, product managers, and software teams to solve complex industrial problems.
  • Translate operational challenges into scalable data science solutions.
  • Communicate technical findings and recommendations to both technical and non-technical stakeholders.
  • Contribute to technical strategy and mentor junior engineers and data scientists.

Required Qualifications

  • Bachelor’s in Computer Science, Data Science, Statistics, Engineering, Physics, Applied Mathematics, or related quantitative field.
  • 3+ years of experience in machine learning, applied AI, or production data science systems.
  • Strong proficiency in:
  • Python, SQL, Scientific computing and data engineering workflows
  • Experience with modern ML frameworks and tools such as:
  • PyTorch, TensorFlow, Scikit-learn, XGBoost, Spark
  • Experience building and deploying production ML systems in cloud environments (AWS, Azure, or GCP).
  • Strong understanding of:
  • Time-series analytics, Statistical inference, Feature engineering, Distributed systems, Production software engineering practices
  • Experience with containerization and orchestration tools such as Docker and Kubernetes is a plus.

Preferred Qualifications

  • Experience in industrial systems, IIoT, energy, power generation, aerospace, or reliability engineering.
  • Familiarity with:
  • Data Streaming platforms (Azure/AWS/GCP services), MLflow, Real-time analytics systems
  • Experience deploying ML systems in operationally critical or high-availability environments.
  • Knowledge of digital twins, edge AI, or physics-informed machine learning techniques.