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Full Time Nba Data Science Jobs (NOW HIRING)

One of our clients, a fast growing FinTech company that provides an online marketplace for commercial loans to small businesses, is looking to hire a full-time Director, Data Science to lead ...

... NFL, NBA, and Esports titles like League of Legends and Counter-Strike. Our team of over 550 ... In addition to your great compensation package, full-time employees will be eligible for the ...

Oversee development and deployment of pricing models across major sports and esports (NBA, NFL, CS2 ... In addition to your great compensation package, full-time employees will be eligible for the ...

One of our clients, a fast growing FinTech company that provides an online marketplace for commercial loans to small businesses, is looking to hire a full-time Director, Data Science to lead ...

Director, Insights, NBA

Novato, CA · On-site

$176.60K - $261.38K/yr

Our team of engineers, marketers, artists, writers, data scientists, producers, thinkers and doers ... Regular, full-time employees are also eligible for a range of benefits at the Company, including ...

One of our clients, a fast growing FinTech company that provides an online marketplace for commercial loans to small businesses, is looking to hire a full-time Director, Data Science to lead ...

AD, Data Science

Bellevue, WA · On-site +1

$189.68K - $296K/yr

Associate Director, Data Science Bellevue, WA - Merchandising - Full time - R29785 What you'll do: * Combine deep understanding of machine learning, advanced data analysis, statistical testing, and ...

AD, Data Science

Bellevue, WA · On-site

$189.68K - $296K/yr

Associate Director, Data Science Bellevue, WA - Merchandising - Full time - R29785 What you'll do: * Combine deep understanding of machine learning, advanced data analysis, statistical testing, and ...

Manager of Data Science

Boulder, CO · On-site

$160K - $215K/yr

Boulder, CO Reporting To : VP of Data Science & AI Job Type : Full-time, Hybrid in office Boulder, CO Work Authorization : Applicants must have legal authorization to work in the U.S. without the ...

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Full Time Nba Data Science information

What is the difference between Full Time Nba Data Science vs Full Time Nba Data Analyst?

AspectFull Time Nba Data ScienceFull Time Nba Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; programming skills (Python, R); knowledge of machine learningDegree in Data Analysis, Statistics, or related; proficiency in Excel, SQL, and visualization tools
Work EnvironmentCollaborative, technical teams; focus on modeling and predictive analyticsBusiness-focused; interpret data for decision-making, reporting, and insights
Employer & Industry UsageNBA teams, sports analytics firms, media companiesNBA teams, sports media, marketing agencies

Full Time Nba Data Science roles typically require advanced technical skills and focus on developing predictive models, while Full Time Nba Data Analysts concentrate on interpreting data for strategic decisions. Both roles are integral to NBA organizations but differ in technical depth and focus areas.

More about Full Time Nba Data Science jobs
What cities are hiring for Full Time Nba Data Science jobs? Cities with the most Full Time Nba Data Science job openings:
What are the most commonly searched types of Nba Data Science jobs? The most popular types of Nba Data Science jobs are:
What states have the most Full Time Nba Data Science jobs? States with the most job openings for Full Time Nba Data Science jobs include:
Data Science

Full-time

Posted 9 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