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Manager Nvidia Data Scientist Jobs in Utah (NOW HIRING)

America First Credit Union

Data Scientist

Ogden, UT · On-site

Must be able to work with users from all levels of management in developing and implement operational and strategic analytics. The Data Scientist's primary focus will be performing data mining ...

America First Credit Union

Data Scientist

Ogden, UT · On-site

$101K - $127K/yr

Must be able to work with users from all levels of management in developing and implement operational and strategic analytics. The Data Scientist's primary focus will be performing data mining ...

America First Credit Union

Data Scientist

Ogden, UT · On-site

$90 - $120/hr

Requiresfull Data Science life cycle development experience within various analytical architectures ... Must be able to manage multiple tasks simultaneously and react to problems quickly. * Must be able ...

Waystar, Inc

Data Scientist

Lehi, UT · On-site

$90 - $120/hr

The data scientist role involves solving technical, data-driven Healthcare problems using computer ... This person will interact with teams from Account Management to Application Engineering and R&D, to ...

Patientco

Data Scientist

Lehi, UT · On-site

The data scientist role involves solving technical, data-driven Healthcare problems using computer ... This person will interact with teams from Account Management to Application Engineering and R&D, to ...

Waystar

Data Scientist

Lehi, UT · On-site

The data scientist role involves solving technical, data-driven Healthcare problems using computer ... This person will interact with teams from Account Management to Application Engineering and R&D, to ...

Crew Career Center

Data Scientist

Lehi, UT

The data scientist role involves solving technical, data-driven Healthcare problems using computer ... This person will interact with teams from Account Management to Application Engineering and R&D, to ...

iNovex Information Systems

Data Scientist 2

Ogden, UT · On-site

Seeking Data Scientist that performs tasks associated with Big Data Platform management, utilizes skills in programming languages, develops prototype algorithms, as well as algorithm refinements, and ...

MasterCard

Data Scientist I

Holladay, UT · On-site

Title and Summary Data Scientist I Who is Mastercard? As a global technology company our mission at ... For example, by investigating/proposing new data sources, encouraging cross team working, managing ...

Bread Financial

Lead Data Scientist

Draper, UT · On-site +1

$144K - $250K/yr

The Lead Data Scientist is pivotal in generating insights and supporting the enterprise's data ... Senior Manager and above Direct Reports : 0 Work Environment * Normal office environment. (Remote ...

MasterCard

Senior Data Scientist

Holladay, UT

Title and Summary Senior Data Scientist Who is Mastercard? As a global technology company our ... For example, by investigating/proposing new data sources, encouraging cross team working, managing ...

Gehc

Service Data Scientist

Salt Lake City, UT · On-site

Summary The Sr Data Scientist will work in teams addressing statistical, machine learning and data ... Demonstrated awareness of data management methods Demonstrated awareness of real-time analytics ...

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All JobsNvidia Data Scientist JobsManager Nvidia Data Scientist JobsManager Nvidia Data Scientist Jobs in Utah

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.

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Data Scientist

America First Credit Union

Ogden, UT • On-site

Full-time

Re-posted 15 days ago

America First Credit Union rating

8.1

Company rating: 8.1 out of 10

Based on 51 frontline employees who took The Breakroom Quiz

63rd of 151 rated financial services

Job description

Schedule
Mon- Fri
Overview
In office and Work @ Home available. Must live in one of the following states: AZ, CA, HI, ID, IA, MI, NV, NH, NJ, NM, OR, TN, TX, UT, VT, VA, & WA.
This position is responsible for aiding operational areas of the organization leveraging both internal and external data assets to achieve business insights, gain deeper understanding of member needs, and enhance tactical and strategic decision making.
Responsibilities
Collaborates with business segments to extract analytical, behavioral and predictive insights from ever increasing data resources. Applies progressive statistical, programmatic, and analytical approaches to business hypotheses to gain deeper understanding of available data. Aids business owners in the interpretation of the results of models and analysis. Requires a solid understanding of both the technical and business aspects of Data Science and business analytics. Must be able to understand the analytical needs of business users, and the business, and translate those needs into actionable resources. Requires full Data Science life cycle development experience within various analytical architectures, including piloting models, A/B testing, underlying data design, and model operationalization. Models will be deployed using agile methodologies to ensure timely and relevant delivery.
Responsible for the design, development, and maintenance of analytical models that will be placed into operation. Will be required to explore internal and external data sources to identify useful structures within the data that were/are previously unknown to the business. Should have a strong understanding of relational and dimensional modeling to facilitate data wrangling, model operationalization, and exploration of data. Must have experience with R, Python, and Linux. Responsible for adhering to corporate reporting policy and controls to ensure the accuracy, timeliness and confidentiality of corporate data and reports. Must be able to work with users from all levels of management in developing and implement operational and strategic analytics. The Data Scientist's primary focus will be performing data mining, statistical analysis, and operationalization of analytical models. This is not a research, proof of concept, or theorist position, the data scientist must be able to drive real business value.
ESSENTIAL FUNCTIONS AND BASIC DUTIES:
  • Uncover and operationalize underlying structure within the data into tangible business value utilizing machine learning.
    1. Develop models, processes, and structures necessary to support analytic needs of America First Credit Union using machine learning in 4th generation and 3rd generation computer languages.
    2. Work with analytics information manager and other staff to implement various analytical models, anything from churn, future value, or recommender systems.
    3. Build small reporting layer on top of analytical models to ensure accountability and insight into models outcomes and impact.
    4. Able to pilot and build POC's to demonstrate and test business value of model.
    5. Extracts operational, performance, statistical and other data from various information systems.

  • Educate and demystify analytical models to business users.
    1. Develop presentations and trainings for business users to increase understanding of statistics and implementation of models.
    2. Maintain department as the competency center for analytics within America First Credit Union.

  • Works closely with analytics information manager to interpret report results.
    1. Analyze, interpret, and summarize analytical model's results.
    2. Participates in the interpretation and context of complex business reports.
    3. Runs what--if simulations based on varying factors and assumptions.
    4. Identifies exceptions, positive and negative trends and measures that are out of tolerance with established limits and ranges.
    5. Identifies potential concerns based on projections of current trends.
    6. Performs statistical and financial analysis of data.

Qualifications
  • Must have prior experience developing business analytical solutions in large or midsize companies.
  • Must be able to manage multiple tasks simultaneously and react to problems quickly.
  • Must be able to translate concepts and directions into practical solutions.
  • Must have experience in reporting on business analytical solutions.
  • Must have strong presentation skills.
  • Must have programming experience with 4th generation and 3rd generation computer languages such as Python and R.
  • Must have experience with Linux.
  • Must have experience with data mining models, for example Linear Regression, Random Forest, Support Vector Machines...
  • Must have development experience with relational database structures, multi-dimensional database, and data warehouse design architecture.
  • Must have strong SQL abilities, experience with both Oracle and Microsoft desired.
  • Must be able to develop, maintain, review and explain data models.
  • Must have excellent verbal and written communication skills.
  • Must be a team player.
  • Must understand numerous references to all things nerdy.
  • Understanding of the financial services industry desired.
  • Experience with dashboard design and delivery.

EXPERIENCE:
  • Three or more years of experience in designing, developing and implementing Data Science solutions.

EDUCATION:
  • Masters of science in information technology, computer science, statistics, or related degree.
  • Bachelors of science degree in information technology, computer science, statistics, or related business degree with equivalent experience of 3 years.

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