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Live In Nhl Data Science Jobs in California (NOW HIRING)

Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field. * Proven experience as a Data Scientist or similar role, preferably in a fast-paced environment.

Adidev Technologies is seeking 1-2 yrs of relevant experience in Data Science. A project can last anywhere from 6 months to 18 months. Salary varies depending on experience, and we are in search of ...

Adidev Technologies is seeking 1-2 yrs of relevant experience in Data Science. A project can last anywhere from 6 months to 18 months. Salary varies depending on experience, and we are in search of ...

Manager, Data Science

San Francisco, CA · On-site

$221K - $320K/yr

Whatnot is the largest live shopping platform in North America and Europe to buy, sell, and ... Role We're looking for a Manager, Data Science to lead a high-impact team working on core ...

PhD in Computer Science/related field/equivalent industry experience. * Extensive Data Science experience preferably in different environments. * Experience in building Data Science product and ...

Data Science

San Francisco, CA · On-site

$90 - $120/hr

Graduate Opportunity - Consultant in GenIA (Located in San Francisco Office) Sia is a specialist ... Supported by Augmented & Artificial Intelligence, Automation and Data Science we empower our ...

This is a full time role that can be held from one of our US hubs or remotely in the United States. What you'll do at Figma: * Lead, support, and grow a team of data scientists and data science ...

We seek a data scientist to join the Creativity & Productivity finance team to refine and implement ... live interviews is not permitted unless explicitly invited by the interviewer or approved in ...

Manager Data Science

San Diego, CA · On-site

$142 - $236/hr

The Company Dexcom Corporation (NASDAQ DXCM) is a pioneer and global leader in continuous glucose ... Your location will be a home office; you are not required to live within commuting distance of your ...

Snap contributes to human progress by empowering people to express themselves, live in the moment ... The Data Science and Insights team seeks to leverage our massive data sets into actionable insights ...

Snap contributes to human progress by empowering people to express themselves, live in the moment ... The Data Science and Insights team seeks to leverage our massive data sets into actionable insights ...

The Company Dexcom Corporation (NASDAQ DXCM) is a pioneer and global leader in continuous glucose ... You must live within commuting distance of your assigned Dexcom site (typically 75 miles/120km)

Snap contributes to human progress by empowering people to express themselves, live in the moment ... The Data Science and Insights team seeks to leverage our massive data sets into actionable insights ...

Snap contributes to human progress by empowering people to express themselves, live in the moment ... The Data Science and Insights team seeks to leverage our massive data sets into actionable insights ...

In this role, you will deeply immerse yourself with the team of data scientists in data collection and analysis, develop compelling, synthesized recommendations for senior leadership, and be involved ...

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Showing results 1-20

Live In Nhl Data Science information

What is the difference between Live In Nhl Data Science vs Live In Nhl Data Analysis?

AspectLive In Nhl Data ScienceLive In Nhl Data Analysis
Required CredentialsDegree in Data Science, Statistics, or related field; programming skills in Python/R; knowledge of machine learningDegree in Data Analysis, Statistics, or related; proficiency in Excel, SQL, and visualization tools
Work EnvironmentCollaborative teams, research-focused, often in tech or sports analytics companiesOperational settings, sports teams, or media outlets focusing on game insights
Employer & Industry UsageTech firms, sports analytics companies, NHL organizationsSports teams, media outlets, NHL organizations

Live In Nhl Data Science involves advanced analytics, machine learning, and predictive modeling to analyze NHL data, while Live In Nhl Data Analysis focuses on interpreting data for insights, reporting, and decision-making. Both roles require familiarity with NHL data but differ in technical complexity and scope.

What are the most commonly searched types of Nhl Data Science jobs in California?

The most popular types of Nhl Data Science jobs in California are:

What cities in California are hiring for Live In Nhl Data Science jobs?

Cities in California with the most Live In Nhl Data Science job openings:

Data Scientist

Find Data Science

San Francisco, CA

Full-time

Posted 15 days ago


Job description

Data Scientist - San Francisco

We are seeking a talented and experienced Data Scientist to join our dynamic team in San Francisco. As a Data Scientist, you will play a pivotal role in harnessing data to drive strategic decision-making processes and enhance our product offerings. You will work within a collaborative, innovative environment where your insights will shape our business strategies and help us remain competitive in an increasingly data-driven world.

Your expertise in data analysis, machine learning, and statistical modeling will enable you to tackle complex business challenges. By transforming raw data into actionable insights, you will directly contribute to our mission of providing exceptional products and services that meet the needs of our clients and customers.

Key Responsibilities
  • Analyze large datasets to uncover trends, patterns, and insights that will inform business strategies.
  • Develop, implement, and maintain advanced machine learning models to optimize company performance.
  • Collaborate with cross-functional teams to integrate data-driven solutions into existing business processes.
  • Create visualizations and dashboards to present findings to various stakeholders effectively.
  • Conduct experiments and statistical analysis to evaluate the effectiveness of business strategies.
  • Stay updated on industry trends and best practices regarding data science methodologies and technologies.
  • Mentor junior data analysts and contribute to the development of their technical skills.
  • Document methodologies and processes to ensure that data science projects are scalable and sustainable.
  • Assist in the data governance process to ensure data accuracy and integrity.
Requirements
  • Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field.
  • Proven experience as a Data Scientist or similar role, preferably in a fast-paced environment.
  • Strong proficiency in programming languages such as Python or R.
  • Experience with data visualization tools (e.g., Tableau, Power BI) and SQL.
  • Solid understanding of machine learning algorithms and statistical analysis techniques.
  • Excellent analytical and problem-solving skills with a keen attention to detail.
  • Strong communication skills, with the ability to convey complex data insights to non-technical audiences.
  • Ability to work collaboratively in a team-oriented environment.
  • Experience with big data technologies (e.g., Hadoop, Spark) is a plus.