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Manager Nvidia Data Scientist Jobs in Texas (NOW HIRING)

As a Data Scientist, you will apply strong expertise through the use of machine learning, data ... Implement CI/CD pipelines and manage code repositories using GitHub Enterprise. * Design and ...

Strong communication skills and the ability to manage multiple, diverse stakeholders across ... data science, quantitative marketing, operations research, industrial engineering, etc.

Prioritizes, scopes and manages data science projects for internal stakeholders and clients. * Mines and analyzes data to drive optimization and improvement of product development, marketing ...

... end data science lifecycle for key product features; oversee experimentation, rigorous model evaluation, and prompt engineering and optimization * Collaborate closely with product managers, audit ...

Prioritizes, scopes and manages data science projects for internal stakeholders and clients. * Mines and analyzes data to drive optimization and improvement of product development, marketing ...

About You You are an experienced data scientist energized by ambiguous, high-stakes problems. You ... Experience with CMMS (Computerized Maintenance Management Systems), Supervisory Control and Data ...

Excellent analytical, communication, and stakeholder management skills. Roles & Responsibilities ... Mentor data scientists and promote best practices in analytics and machine learning. * Support ...

Excellent analytical, communication, and stakeholder management skills. Roles & Responsibilities ... Mentor data scientists and promote best practices in analytics and machine learning. * Support ...

Excellent analytical, communication, and stakeholder management skills. Roles & Responsibilities ... Mentor data scientists and promote best practices in analytics and machine learning. * Support ...

Prioritizes, scopes and manages data science projects for internal stakeholders and clients. * Mines and analyzes data to drive optimization and improvement of product development, marketing ...

Excellent analytical, communication, and stakeholder management skills. Roles & Responsibilities ... Mentor data scientists and promote best practices in analytics and machine learning. * Support ...

Excellent analytical, communication, and stakeholder management skills. Roles & Responsibilities ... Mentor data scientists and promote best practices in analytics and machine learning. * Support ...

Excellent analytical, communication, and stakeholder management skills. Roles & Responsibilities ... Mentor data scientists and promote best practices in analytics and machine learning. * Support ...

Excellent analytical, communication, and stakeholder management skills. Roles & Responsibilities ... Mentor data scientists and promote best practices in analytics and machine learning. * Support ...

Excellent analytical, communication, and stakeholder management skills. Roles & Responsibilities ... Mentor data scientists and promote best practices in analytics and machine learning. * Support ...

Excellent analytical, communication, and stakeholder management skills. Roles & Responsibilities ... Mentor data scientists and promote best practices in analytics and machine learning. * Support ...

Excellent analytical, communication, and stakeholder management skills. Roles & Responsibilities ... Mentor data scientists and promote best practices in analytics and machine learning. * Support ...

Excellent analytical, communication, and stakeholder management skills. Roles & Responsibilities ... Mentor data scientists and promote best practices in analytics and machine learning. * Support ...

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Manager Nvidia Data Scientist information

What is the difference between Manager Nvidia Data Scientist vs Data Scientist?

AspectManager Nvidia Data ScientistData Scientist
CredentialsBachelor's/Master's in CS, Data Science, or related; often requires leadership experienceBachelor's/Master's in CS, Statistics, or related; focus on technical skills
Work EnvironmentLeads teams, manages projects, collaborates with cross-functional teamsAnalyzes data, develops models, reports findings
Employer & IndustryTech companies, AI/ML firms, hardware manufacturers like NvidiaVarious industries including tech, finance, healthcare, research

The main difference is that a Manager Nvidia Data Scientist oversees data science teams and projects, requiring leadership skills, while a Data Scientist focuses on technical data analysis and modeling. The manager role involves strategic planning and team management, whereas the data scientist role emphasizes technical expertise and data analysis.

What are the most commonly searched types of Nvidia Data Scientist jobs in Texas?

The most popular types of Nvidia Data Scientist jobs in Texas are:

What cities in Texas are hiring for Manager Nvidia Data Scientist jobs?

Cities in Texas with the most Manager Nvidia Data Scientist job openings:

Data Scientist

Sky Consulting Inc

Houston, TX • On-site

Full-time

Re-posted 22 days ago


Job description

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 engines and services. You will collaborate with cross-functional teams and business partners to define the technical problem statement and hypotheses to test. You will develop efficient and accurate analytical models which mimic business decisions and incorporate those models into analytical data products and tools. You will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.

Key Responsibilities

  • Collaborate with business partners to develop innovative solutions to meet objectives utilizing cutting edge techniques and tools.
  • Develop, test, and deploy data science solutions using Python, SQL, and PySpark on enterprise platforms such as Databricks.
  • Collaborate with data scientists to translate models into production-ready code.
  • Implement CI/CD pipelines and manage code repositories using GitHub Enterprise.
  • Design and optimize mathematical programming and machine learning models for real-world applications like Incentive elasticity model.
  • Expereince implementing scenario simulation algorithms.
  • Work independently to break down complex problems into actionable development tasks.
  • Ensure code quality, scalability, and maintainability in a production environment.
  • Contribute to sprint planning, documentation, and cross-functional collaboration.
  • Collaborate, coach, and learn with a growing team of experienced Data Scientists.
  • Stay connected with external sources of ideas through conferences and community engagements
Requirements
  • 8 years of experience working as a Data Scientist
  • Hands-on experience with enterprise data science solutions, preferably in retail, inventory management, or operations research.
  • Proficiency in Python, SQL, and PySpark.
  • Experience with Databricks or similar enterprise cloud environments.
  • Experience with production-level coding and deployment practices.
  • Familiarity with basic machine learning techniques and mathematical optimization methods.
  • Proficient in data science libraries and ML pipelines such as; NumPy, SciPy, scikit-learn, MLlib, PyTorch, TensorFlow.
  • Should have experience working on Price Elasticity.
  • Self-starter with an ownership mindset and the ability to work with minimal supervision.