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Apprentice Data Scientist Machine Learning Jobs in Houston, TX

Data Scientist Work Location: The Woodlands Education/Experience Required: Bachelor's degree in ... Develop, deploy, and maintain machine learning models and advanced analytics solutions * Design and ...

New

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

Develop, deploy, and maintain machine learning models and advanced analytics solutions * Design and ... Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering ...

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 ...

Develop and implement machine learning algorithms to solve complex business problems. * Analyze ... Data Science Statistical Modeling * GenAI / Generative AI * LLMs * RAG * Agentic AI / AI Agents

New

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 ...

A specialization in machine-learning, artificial intelligence, cognitive science or data science is preferred. Must be self-driven, curious and creative. * Experience must include creating and using ...

AI Data Scientist

Spring, TX · On-site

$130K - $205K/yr

AI Data Scientist Description - About the Position The HP Enterprise AI & Machine Learning organization is a centralized team of data scientists and machine learning engineers building GenAI-based ...

AI Data Scientist Description - About the Position The HP Enterprise AI & Machine Learning organization is a centralized team of data scientists and machine learning engineers building GenAI-based ...

This requires that you have next to your knowledge of machine learning and/or statistics a good grasp of software development. Next to the data science capabilities and experiences you should be able ...

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Apprentice Data Scientist Machine Learning information

What is the difference between Apprentice Data Scientist Machine Learning vs Data Scientist?

AspectApprentice Data Scientist Machine LearningData Scientist
Required CredentialsBasic degree, entry-level certificationsAdvanced degree (Master's or PhD), specialized certifications
Work EnvironmentInternships, training programs, entry-level projectsFull-time roles in various industries, independent project work
Employer & Industry UsageStartups, tech companies, research labsCorporate, finance, healthcare, tech firms
Search & Comparison IntentLearning path, entry-level roles, trainingCareer advancement, expertise, senior roles

In summary, Apprentice Data Scientist Machine Learning roles are entry-level positions focused on learning and skill development, often requiring basic education and certifications. Data Scientists typically hold advanced degrees and have more experience, working independently on complex projects across various industries. The main difference lies in experience level, responsibilities, and career stage.

What are the most commonly searched types of Data Scientist Machine Learning jobs in Houston, TX?

The most popular types of Data Scientist Machine Learning jobs in Houston, TX are:

What cities near Houston, TX are hiring for Apprentice Data Scientist Machine Learning jobs?

Cities near Houston, TX with the most Apprentice Data Scientist Machine Learning job openings:

Data Scientist

Paladin Consulting

The Woodlands, TX • On-site

Other

This job post has expired today. Applications are no longer accepted.


Job description

Job Title: Data Scientist

Work Location: The Woodlands

Education/Experience Required: 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, Analytics, or a related discipline


Job Description:

  • This role will partner with business leaders to solve complex operational and strategic challenges through analytics, machine learning, data engineering, and AI-driven solutions.
  • The ideal candidate is a hands-on problem solver who can translate business needs into actionable insights and production-ready solutions.
  • This position requires a blend of technical expertise, business acumen, and strong communication skills, with ownership spanning the full lifecycle from data exploration and model development to deployment and adoption.

Responsibilities:

  • Partner with business stakeholders to identify opportunities for analytics, automation, and AI solutions
  • Develop, deploy, and maintain machine learning models and advanced analytics solutions
  • Design and build scalable data pipelines and data products
  • Perform data analysis, feature engineering, forecasting, and statistical modeling
  • Create dashboards, reports, and self-service analytics tools to support decision-making
  • Monitor, improve, and support production analytics solutions
  • Present findings and recommendations to both technical and non-technical audiences
  • Drive measurable business impact through data-driven insights and operational improvements
  • Collaborate with data engineers, analysts, and technology teams on enterprise initiatives

Skills & Qualifications:

  • 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, Analytics, or a related discipline
  • Strong proficiency in Python and SQL
  • Experience building and deploying production machine learning or analytics solutions
  • Experience developing and maintaining data pipelines
  • Strong knowledge of statistics, hypothesis testing, and model evaluation techniques
  • Experience communicating analytical findings to business stakeholders
  • Excellent problem-solving, analytical, and communication skills

Preferred Qualifications

  • Experience with Databricks, Spark, or PySpark
  • Experience with cloud platforms such as AWS or Azure
  • Experience with Tableau, Power BI, or other data visualization tools
  • Experience with modern data architectures and lakehouse environments
  • Experience developing AI-enabled applications
  • Familiarity with forecasting, optimization, customer analytics, pricing, or operational analytics