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Contractual Nvidia Data Scientist Jobs in Michigan

Detroit Tigers

Cloud Data Engineer

Detroit, MI · On-site +1

$113.40K - $136.10K/yr

Collaborate with Tigers data engineers and data scientists to implement good data hygiene practices ... They are not contractual in nature and are subject to change at the discretion of Detroit Tigers.

Detroit Tigers

Cloud Data Engineer

Detroit, MI · On-site

$113.40K - $136.10K/yr

Collaborate with Tigers data engineers and data scientists to implement good data hygiene practices ... They are not contractual in nature and are subject to change at the discretion of Detroit Tigers.

AEG

Cloud Data Engineer

Detroit, MI · On-site

$113.10K - $135.90K/yr

Collaborate with Tigers data engineers and data scientists to implement good data hygiene practices ... They are not contractual in nature and are subject to change at the discretion of Detroit Tigers.

Utilidata

Principal Data Engineer

Ann Arbor, MI · On-site +1

$170K - $210K/yr

Utilidata is a fast-growing NVIDIA-backed AI company enabling AI data centers to dynamically ... Partner closely with data science leads and cross-functional teams to surface dependencies and ...

Utilidata

AI Infrastructure Engineer

Ann Arbor, MI · On-site +1

$170K - $210K/yr

Utilidata is a fast-growing NVIDIA-backed AI company enabling AI data centers to dynamically ... This position works cross-functionally with product, engineering, and data science teams and is ...

Utilidata

AI Infrastructure Engineer

Ann Arbor, MI · On-site +1

$170K - $210K/yr

Utilidata is a fast-growing NVIDIA-backed AI company enabling AI data centers to dynamically ... This position works cross-functionally with product, engineering, and data science teams and is ...

Deloitte

Physical and Spatial AI Manager

Detroit, MI · On-site

... NVIDIA and/or GCP-based architectures including the role of edge, data, AI, and simulation ... Bachelor's degree in Engineering, Computer Science, Information Systems, Industrial Engineering ...

Deloitte

Physical and Spatial AI Architect

Detroit, MI · On-site

... NVIDIA and/or GCP-based architectures including the role of edge, data, AI, and simulation ... Bachelor's degree in Engineering, Computer Science, Information Systems, Industrial Engineering ...

Deloitte

Physical and Spatial AI Architect

Detroit, MI · On-site

$62.25 - $82/hr

... NVIDIA and/or GCP-based architectures including the role of edge, data, AI, and simulation ... Required : • Bachelor's degree in Engineering, Computer Science, Information Systems, Industrial ...

Ford Motor Company

Software Engineer

Redford, MI · On-site

Develop and optimize software to deploy machine learning models on edge devices (NVIDIA Jetson/Thor ... Collaborate with Data Scientists to containerize models (Docker/Kubernetes) and with Hardware ...

Deloitte

Physical and Spatial AI Architect

Grand Rapids, MI · On-site

$60.50 - $79.75/hr

... NVIDIA and/or GCP-based architectures including the role of edge, data, AI, and simulation ... Required : • Bachelor's degree in Engineering, Computer Science, Information Systems, Industrial ...

Tata Consultancy Services

AI Researcher

Detroit, MI

You will collaborate with interdisciplinary teams of researchers, data scientists, and roboticists ... Develop real-time perception and decision systems using ROS, OpenCV, and NVIDIA Jetson/Isaac SDKs.

Deloitte

FinanceAI Senior Consultant

Grand Rapids, MI

$111.90K/yr

Bachelor's degree in a relevant field (e.g., Business, Computer Science, Data Science) from an ... Nvidia, AWS, GCP, Azure), model layer (e.g., GPT-4o, Claude, Llama), and application layer (e.g ...

Deloitte

FinanceAI Senior Consultant

Detroit, MI · On-site

$115.30K/yr

Bachelor's degree in a relevant field (e.g., Business, Computer Science, Data Science) from an ... Nvidia, AWS, GCP, Azure), model layer (e.g., GPT-4o, Claude, Llama), and application layer (e.g ...

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Contractual Nvidia Data Scientist information

What are the key skills and qualifications needed to thrive as a Contractual Nvidia Data Scientist, and why are they important?

To thrive as a Contractual Nvidia Data Scientist, you need a strong background in data science, machine learning, and programming languages such as Python or C++, often supported by a relevant degree in computer science, mathematics, or a related field. Familiarity with Nvidia's GPU computing platforms (like CUDA), deep learning frameworks (such as TensorFlow or PyTorch), and certifications in data science or AI are typically required. Excellent problem-solving abilities, adaptability, and effective communication skills help you collaborate with teams and convey complex findings to stakeholders. These skills are essential for efficiently developing, optimizing, and deploying advanced AI solutions that leverage Nvidia's technologies in dynamic project environments.

What are some common challenges faced by contractual Nvidia Data Scientists when working on short-term projects?

Contractual Nvidia Data Scientists often need to quickly adapt to new teams and project objectives, which can be challenging given the rapid pace of short-term engagements. They may encounter limited access to company-specific datasets or proprietary tools, requiring strong problem-solving skills and flexibility. Additionally, clear communication and efficient collaboration with both technical and non-technical stakeholders are crucial, as time constraints demand fast, impactful contributions. Despite these challenges, such roles offer opportunities to work on cutting-edge AI projects and build a diverse professional portfolio.

What does a Contractual Nvidia Data Scientist do?

A Contractual Nvidia Data Scientist is a professional hired on a contract basis to work with Nvidia’s data science teams or on Nvidia-related projects. Their primary responsibilities include analyzing large datasets, developing machine learning models, and leveraging Nvidia's GPU technologies to optimize data processing and AI workflows. They may also collaborate with engineers and researchers to create solutions in fields like deep learning, computer vision, or natural language processing. This role typically requires strong programming and analytical skills, as well as experience with Nvidia’s software and hardware platforms.
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Contractual Nvidia Data Scientist jobs near you
Cloud Data Engineer

Cloud Data Engineer

Detroit Tigers

Detroit, MI • On-site, Remote

$113.40K - $136.10K/yr

Full-time

Posted 8 days ago

Job description

Job Summary: The Detroit Tigers are seeking a Cloud Data Engineer, Baseball Systems. This role will be responsible for designing, managing, and automating data processes across our data architecture to support Baseball Operations initiatives, including the deployment and operationalization of machine learning models. This position will report to the Manager, Baseball Systems Data.

Key Responsibilities:

  • Design, implement, and maintain our data architecture and processing pipelines at scale.
  • Design, implement, and use data quality assurance frameworks to support the process of identifying inconsistent data patterns.
  • Collaborate with Tigers data engineers and data scientists to implement good data hygiene practices and procedures in our data processes.
  • Work with external data vendors to triage and remedy data quality issues.
  • Automate and execute test cases in data pipelines and manage data issue tracking.
  • Build and maintain MLOps infrastructure to support the deployment, monitoring, and retraining of machine learning models in production.
  • Partner with data scientists to productionize models, ensuring reproducibility, scalability, and reliability across the ML lifecycle.

Minimum Knowledge, Skills and Abilities:

  • Proficiency building data processing pipelines using SQL and Python.
  • Experience with cloud computing, cloud storage, and cloud services.
  • Experience with cloud-based data lakes, data warehouses, and related tooling.
  • Strong understanding of data strategies and practices, such as continuous integration, regression testing, and versioning.
  • Experience building, maintaining, and querying SQL data warehouses built for data science and analytics.
  • Familiarity with MLOps concepts and tooling, including model serving, monitoring, and pipeline orchestration.

Preferred Knowledge, Skills and Abilities:

  • Understanding of data quality frameworks and best practices for implementation.
  • Familiarity with baseball and with current baseball research.
  • Experience using Apache Spark (Databricks on Azure preferred).
  • Experience with Airflow or similar workflow orchestration tools.
  • Effective communication skills with an ability to explain technical concepts to developers and business partners.
  • Experience with DevOps and MLOps practices for CI/CD pipelines, including model versioning and experiment tracking.
  • Experience working with containers and container deployment, including containerized model serving.
  • Familiarity with open-source data quality frameworks.

Working Conditions:

  • Office environment.
  • The location may be based in Detroit or fully remote.
  • Occasional evening, weekend, and holiday hours are required.

All items listed above are illustrative and not comprehensive. They are not contractual in nature and are subject to change at the discretion of Detroit Tigers.


Detroit Tigersis an Equal Employment Opportunity employer. All qualified applicants will receive consideration for employment without regards to that individual's race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender identity, age, physical or mental disability, veteran status, genetic information, ethnicity, citizenship, or any other characteristic protected by law.


The Company will strive to provide reasonable accommodations to permit qualified applicants who have a need for an accommodation to participate in the hiring process (e.g., accommodations for a job interview) if so requested.

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