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

Adidev Technologies Inc

Data Science

San Francisco, CA · Remote

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 Inc

Data Science

San Francisco, CA · On-site

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 ...

Whatnot

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 ...

PROPRIUS

Director Data Science

San Francisco, CA · On-site

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

ServiceTitan

Director, Data Science

Glendale, CA · On-site +1

Own the data science and applied AI roadmap for operations-agentic systems, forecasting, lead ... in production-whether powering an internal forecast, an autonomous workflow, or a live customer ...

Snapchat

Data Scientist, Level 4

Palo Alto, CA

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, Inc.

Data Scientist, Level 4

San Francisco, CA

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, Inc.

Data Scientist, Level 4

Los Angeles, CA

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 ...

Snapchat

Data Scientist, Level 4

Los Angeles, CA · On-site

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, Inc.

Data Scientist, Level 4

Palo Alto, CA

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 ...

Snapchat

Data Scientist, Level 4

Los Angeles, CA

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 ...

Snapchat

Data Scientist, Level 4

San Francisco, CA

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 ...

Snapchat

Senior Data Scientist, Level 5

Los Angeles, CA · On-site

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, Inc.

Senior Data Scientist, Level 5

Palo Alto, CA · On-site

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 ...

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Live In Nhl Data Science information

How to become an NHL data analyst?

To become an NHL data analyst, candidates typically need a strong background in data science, statistics, or related fields, along with proficiency in programming languages like Python or R and experience with sports analytics tools. Knowledge of hockey rules, game strategies, and access to relevant data sources are also important. Gaining experience through internships or projects and staying updated on industry trends can improve job prospects.

How much do NHL data scientists make?

NHL data scientists typically earn between $70,000 and $120,000 annually, depending on experience, education, and the level of responsibility. Salaries can vary based on the organization, location, and whether the role involves advanced analytics, machine learning, or sports-specific data analysis tools.

How much do NFL data scientists make?

NFL data scientists typically earn between $70,000 and $130,000 annually, depending on experience, education, and the complexity of the data analysis tasks. Salaries can vary based on the organization, location, and whether the role involves advanced skills like machine learning or statistical modeling.

How much do NHL data engineers make?

NHL data engineers typically earn between $70,000 and $120,000 annually, depending on experience, education, and location. They work with large datasets, statistical tools, and programming languages like Python or R to analyze hockey data and support team strategies.

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:
Live In Nhl Data Science jobs near you

Data Science

Adidev Technologies Inc

San Francisco, CA • Remote

Full-time

Re-posted 8 days ago

Job description

Adidev Technologies Inc 

www.adidevtechnologies.com

URGENT HIRE - HIRING PROCESS - 24-48 HOURS!

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 candidates looking to start as soon as possible. Excellent written and oral communication are required as is the ability to work well in a team environment.

If you are looking for a new challenge and are ready to make an impact on a growing team, then this will be a perfect fit. As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and debugging large-scale applications for one of our well-known clients.

Adidev Technologies is a growing software consulting company that is constantly expanding. As we are working with renowned clients and ready to take on new ones, we are seeking brilliant software engineers. Not only do we offer a great team to work with, but we also offer you an opportunity to make an immediate impact and get rewarded accordingly

 

Job Description

  • Demonstrated experience using machine learning, deep learning, statistical methodology, and simulation/optimization modeling in geospatial, network topography, recommendation systems, environmental systems, and/or agronomic problems.
  • Strong foundation in Python programming in a cloud environment.
  • Strong quantitative abilities, distinctive problem-solving, and excellent analysis skills
  • Expertise in data wrangling using SQL,
  • Practical knowledge and experience with cloud-computing systems and platforms, including the routine deployment of pipelines through Kubernetes
  • Fluency in querying/extracting/aggregating data via SQL scripting.
  • Extract, load and transform data (ETL) from structured and unstructured sources
  • Apply Natural Language Processing and Computer Vision to solve business use cases,
  • Strong skills in scientific data analyses, modeling, visualization and communication of results.
  • Knowledge of Python libraries (NumPy, Pandas, SciKit-Learn, TensorFlow, PyTorch), Spacy, MongoDB, PostgreSQL, Flask, streamlet and a good knowledge of data pipelines construction
  • Ph.D., M.S. or B.S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote Sensing Science, Environmental Sciences, Computational Astronomy or related scientific discipline


Must  have 

  • Understanding of various machine learning algorithms (e.g. SVM, Random Forests, Gradient Boosting, Log-Log regression, XGBoost, Lasso, Ridge, Clustering techniques, Neural Networks and others)
  • Regression (e.g. ? Linear/Logistic/MNL/Mixed Effects/Regularization)
  • Classification (K-means, Hierarchical, Latent Class, DBScan, SVM)
  • Dimension Reduction techniques (Principal Component analysis, Singular Value Decomposition etc.)
  • Optimization (Linear programming, Stochastic Gradient Descent, Genetic Algorithm etc.)
  • Experience with neural network approaches to text classification CNN, RNN, LSTM,Keras
  • Machine Learning algorithms? Neural Networks, Naïve Bayes, Bagging & Boosting, Random Forest
  • Distributed computing tools and cloud technology (AWS)

QUALIFICATIONS

  • Degree in Data Science, Computer Science, Engineering, Math, or Statistics preferred

  • At least 2 yrs of relevant experience in Data Science


SKILLS

  • SQL, statistical modeling, Feature engineering, Data visualization, Deploying models to production, Python programming, AWS, Domains(Healthcare/ Manufacturing/ Marketing/ Financial/ Telecommunication), powerbi/tableau, data warehouse

Benefits

  • Competitive Salary

  • Paid Relocation

  • Remote Support

  • Guaranteed Regular Salary Reviews

  • Job Type: W2 or Contract 1099 (full-time - 40 hours)

Employment Type: FULL_TIME

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