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Manager Nvidia Data Scientist Jobs in Spring, TX

The Data Scientist plays a key role in advancing digital innovation by developing data-driven ... manage model lifecycle and reproducibility. Business Collaboration & Impact * Partner with ...

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The Data Engineer or Data Scientist enables data-driven decision-making across the enterprise. This ... Architect and manage modern data pipelines, warehouses, and lakehouses (Snowflake, Databricks ...

The company manages more than 300 GW of wind, solar, and energy storage assets globally, serving ... ABOUT YOU You are a senior-level data scientist and recognized BESS subject matter expert with ...

Principal AI Data Scientist Description - About the Position The HP Enterprise AI & Machine ... Manages relationships with senior business partners to evaluate and foster data driven innovation ...

Showing results 41-60

Manager Nvidia Data Scientist information

See Spring, TX salary details

$40.9K

$146.8K

$216.7K

How much do manager nvidia data scientist jobs pay per year?

As of Aug 22, 2026, the average yearly pay for manager nvidia data scientist in Spring, TX is $146,848.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,800.00 and $151,300.00 per year, depending on experience, location, and employer.

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 Spring, TX?

The most popular types of Nvidia Data Scientist jobs in Spring, TX are:

What job categories do people searching Manager Nvidia Data Scientist jobs in Spring, TX look for?

The top searched job categories for Manager Nvidia Data Scientist jobs in Spring, TX are:

What cities near Spring, TX are hiring for Manager Nvidia Data Scientist jobs?

Cities near Spring, TX with the most Manager Nvidia Data Scientist job openings:

Infographic showing various Manager Nvidia Data Scientist job openings in Spring, TX as of August 2026, with employment types broken down into 85% Full Time, 14% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $146,848 per year, or $70.6 per hour.

Full-time

Re-posted 12 days ago


Memorial Hermann Health System rating

7.7

Company rating: 7.7 out of 10

Based on 289 frontline employees who took The Breakroom Quiz

160th of 891 rated healthcare providers


Job description

Job Summary:
Memorial Hermann Health System is dedicated to delivering high quality and efficient care while creating exceptional experiences for every community member, including its employees. The Lead Data Scientist will lead the analysis of complex data sets using advanced statistical methods, manage cross-functional teams, and provide in-depth data insights to solve complex business problems.
Responsibilities:
• Leads high priority projects that impact the organization.
• Leads complex issues and problems, and refers more complex issues to higher-level staff.
• Provides technical supervision/mentoring to other data scientists and trains the broader audience on data science developments.
• Provides leadership, coaching, and/or mentoring to subordinate group.
• Develops custom data models and algorithms to apply to data sets.
• Develops and applies algorithms or models to key business metrics with the goal of improving operations or answering business questions. Provides findings and analysis for use in decision making.
• Performs research, analysis, and modeling on organizational data.
• Maintains existing models and evaluates their goodness of fit.
• Provides in-depth data insights from structured and unstructured data for complex business problems through use of advanced analytics techniques, predictive modeling, data mining/visualization and pattern analysis tools.
• Develops and tests hypotheses and communicates findings in clear, precise and actionable manner to project and leadership teams.
• Works closely with teams to identify, understand, and resolve data issues and improve efficiency, productivity and scalability of data processes.
• Assists with the evaluation of data science vendors and tools.
• Ensures safe care to patients, staff and visitors; adheres to all Memorial Hermann policies, procedures, and standards within budgetary specifications including time management, supply management, productivity and quality of service.
• Promotes individual professional growth and development by meeting requirements for mandatory/continuing education and skills competency; supports department-based goals which contribute to the success of the organization; serves as preceptor, mentor and resource to less experienced staff.
• Demonstrates commitment to caring for every member of our community by creating compassionate and personalized experiences. Models Memorial Hermann’s service standards by providing safe, caring, personalized and efficient experiences to patients and colleagues.
• Other duties as assigned.
Qualifications:
Required:
• Bachelor’s Degree in science, engineering, computer science, mathematics, statistics, or related STEM field required.
• Seven (7) years of experience in data science is required.
• Business analytical skills (process flows, procedures, spreadsheets, modeling, etc.), technical expertise, mathematical skills and good understanding of design and architecture principles are required.
• Possesses deep understanding of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
• Proficient understanding of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
• Ability to communicate, gather requirements and execute storytelling with data.
• Possesses advanced level knowledge of the data science project life cycle.
• Proficient programming skills in addition to a working knowledge and experience of statistical analysis tools.
• Demonstrates proficiency in problem solving, analytical reasoning and decision-making skills.
• Demonstrates proficiency in identifying and seeking needed information to perform problem/situation analysis.
• Advanced level of understanding and experience in researching and resolving data issues with a logical, instinctive, and problem-solving mentality working with large, complex and incomplete sources.
• Exhibits strong project management skills, with an ability to work independently on multiple projects with competing priorities and a strong commitment to meeting goals and deadlines.
• Advanced understanding of SQL database management tools.
• Exceptional analytical skills and ability to understand and interpret results based on advanced statistical techniques.
• Strong written and verbal communication skills in IT and business environments; ability to communicate to technical and non-technical audiences.
• Ability to work under minimal supervision in a fast-paced multidisciplinary environment.
• Advanced knowledge of data science methods – time series forecasting, linear regression, A/B testing, statistical testing, Clustering, etc.
• Superior customer service in the form of first-rate work products and project management.
• Strong ability to manage challenging client situations.
• Strong ability to troubleshoot and recommend solutions.
• Strong ability to translate complex information for a wide range of stakeholders.
Preferred:
• Master’s Degree in Data Science preferred.
• Professional experience in hospital setting, medical informatics, healthcare information technology/finance/revenue cycle data management, or Electronic Health Record (EHR) data management is preferred.
Company:
Advancing Health. Personalizing Care. Founded in 1971, the company is headquartered in Houston, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Memorial Hermann Health System employees say

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About Memorial Hermann

Sourced by ZipRecruiter

The Memorial Hermann Southwest Hospital Women's Services is a magnet hospital as well as a level 3 designated facility with a blend of high-risk and community patients. This creates a fast-paced environment and a chance to work with a diverse population. Our Labor & Delivery unit has a low c-section rate and is extremely collaborative and close-knit. We have the ability to cross-train through all areas of Women's Services. We have a family-like atmosphere with an amazing amount of comradery, and our low turnover rates attest to this. Nurses here feel like they not only have autonomy but can also be advocates for their patients. MHSW not only prides ourselves on evidenced based practice, but nurses have a strong voice.

Industry

Health care and social assistance

Company size

10,000+ Employees

Headquarters location

Houston, TX, US

Year founded

1907