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Junior Nvidia Data Scientist Jobs in Michigan (NOW HIRING)

... junior staff while securing project success and maintaining exemplary standards. This role offers ... data science and machine learning methodologies to analyze vast claims and clinical data - Generate ...

Recent computer science/engineering/mathematics/statistics or science graduates or people looking ... We want data science/machine learning/data analyst and Java full stack candidates. Required skills ...

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Junior Nvidia Data Scientist information

What is the difference between Junior Nvidia Data Scientist vs Junior Machine Learning Engineer?

AspectJunior Nvidia Data ScientistJunior Machine Learning Engineer
Required CredentialsBachelor's in Data Science, Computer Science, or related field; familiarity with Nvidia toolsBachelor's in Computer Science, Software Engineering, or related; knowledge of ML frameworks
Work EnvironmentData analysis, modeling, using Nvidia GPU-accelerated toolsDeveloping, deploying ML models, often with Nvidia hardware
Industry UsageTech, AI research, data-driven companiesSoftware development, AI product teams, tech firms

Junior Nvidia Data Scientists focus on analyzing data and building models using Nvidia GPU-accelerated tools, while Junior Machine Learning Engineers develop and deploy ML models, often leveraging Nvidia hardware. Both roles require similar educational backgrounds but differ in daily tasks and industry focus.

What are the most commonly searched types of Nvidia Data Scientist jobs in Michigan? The most popular types of Nvidia Data Scientist jobs in Michigan are:
What cities in Michigan are hiring for Junior Nvidia Data Scientist jobs? Cities in Michigan with the most Junior Nvidia Data Scientist job openings:
Experienced Data Scientist

Experienced Data Scientist

Auto-Owners Insurance

Lansing, MI • On-site

Full-time

Retirement, PTO

Posted 27 days ago


Auto-Owners Insurance rating

9.3

Company rating: 9.3 out of 10

Based on 32 frontline employees who took The Breakroom Quiz

14th of 258 rated insurance


Job description

A career at Auto-Owners is challenging and rewarding. Our group of caring associates create financial security by helping individuals and businesses make a new start when a loss occurs.
Job Description
We offer a merit-based work-from-home program based on job responsibilities. After initial training in-person, this specific role could have the flexibility to work from home up to 3 days per week.
Please note we are not currently hiring fully remote positions. All candidates must have the ability to work in our home office in Lansing, Michigan twice a week.
Auto-Owners Insurance, a top-rated insurance carrier, is seeking an experienced data scientist to join our analytics teams. The position requires the person to:
  • Lead the design, development, validation, and deployment of statistical and machine learning models that address complex business needs and comply with regulatory requirements
  • Use statistical and machine learning techniques to build models that address business needs and comply with regulatory requirements
  • Work with large, complex data sets and develop a comprehensive knowledge of Auto-Owners data structures and metrics
  • Conduct ad-hoc analysis and present results clearly at multiple-levels of stakeholders through visual displays of quantitative information
  • Design, prototype, and implement new approaches for solving problems.
  • Collaborate with a cross-functional team, including software developers, architects, and business leaders
  • Create clear and easy to understand documentation for models
  • Monitor model performance and implement iterative improvements

Desired Skills & Experience
  • Master's degree in a quantitative discipline (e.g. Mathematics, Statistics, Computer Science, Physics, Operations Research, Economics, Electrical Engineering, etc.)
  • Proficiency in SQL or other data querying language
  • An understanding of statistical and machine learning techniques, including classification, regression, clustering, feature engineering, decision trees, gradient boosting, deep learning, etc.
  • Experience with common data science toolkits, such as R, Python, TensorFlow, SQL, Scikit-learn, Keras, etc.
  • Demonstrated experience owning end-to-end model lifecycle, including validation, monitoring, and performance optimization
  • Experience mentoring junior data scientists or leading analytical workflows preferred
  • Aptitude and willingness to learn new things and teach others
  • Strong written and oral communication skills
  • 5+ years of professional experience building models with large data sets. Candidates with 0-1 years of experience, please use the job posting for "Predictive Modeler". Candidates with less than 5 years of experience, please use the job posting for "Data Scientist".
  • (Preferred) Experience developing and deploying analytics solutions in cloud environments such as AWS
  • (Preferred) PhD in a quantitative discipline
  • (Preferred) Experience in the insurance industry

Compensation/Benefits
The salary offered will be commensurate with skills and experience.
We offer a friendly, hybrid work environment with primary work from home ability and monthly opportunities for team overlap in the office.
Along with a competitive base salary, our excellent benefits package includes a matched 401(k), fully-funded pension plan (once vested), bonus programs, student loan assistance, gym cost reimbursement, and generous paid time off including holidays, vacation days, personal time, and sick leave. We also offer structured education & training programs, mentoring, and opportunities for advancement and lateral movement to help you progress through your career. If you're looking to do rewarding work alongside great people, Auto-Owners is the place for you!
Equal Employment Opportunity
Auto-Owners Insurance is an equal opportunity employer. The Company hires, transfers, and promotes on the basis of ability, without consideration of disability, age, sex, race, color, religion, height, weight, marital status, sexual orientation, gender identity or national origin, or any factor contrary to federal, state or local law.
*Please note that the ability to work in the U.S. without current or future sponsorship is a requirement.
#LI-DNI #IN-DNI

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