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Full Time Nba Data Science Jobs (NOW HIRING)

... full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

Data Science Analyst

Phoenix, AZ · On-site

$99K - $148K/yr

Responsibilities Data Scientists at Mayo Clinic perform detailed analysis of large bodies of ... Benefits Eligible Yes Schedule Full Time Hours/Pay Period 80 Schedule Details Monday- Friday (8:00 ...

Senior GenAI Engineer

New York, NY · On-site +1

$60.50 - $78/hr

Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, or related ... The NBA is committed to providing a safe and healthy workplace. To safeguard our employees and ...

Job Title Data Science Lead Location Doral, FL 33122 US (Primary) Category Intelligence Job Type Full-Time Career Level Staff Education Master's Degree Travel Security Clearance Required TS/SCI ...

Job Type Full-time Description Paylocity is an award-winning provider of cloud-based HR and payroll ... Manager Data Science Position Overview The Paylocity Data Science team is focused on building ...

... full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

... full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

... full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

Data Science Manager

New York, NY · On-site

$210K - $230K/yr

You'll sit within our Data Science team, owning the direction of a group of talented data ... Lemonade's US base salary range for this full-time position is $210,000 - $230,000 plus equity ...

... full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

... full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

You will receive the same orientation training as our full-time engineers, you will be matched with ... Work hand-in-hand with our data science and engineering teams to design and implement data models ...

... full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

... full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

You will receive the same orientation training as our full-time engineers, you will be matched with ... Work hand-in-hand with our data science and engineering teams to design and implement data models ...

This is a full-time position About the Team The Data Science team provides critical insights and tools to help the executive leadership team, technology teams, and business units optimize test ...

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Full Time Nba Data Science information

How to become an NBA data analyst?

To become an NBA data analyst, you typically need a bachelor's degree in a related field such as statistics, data science, or sports management. Developing skills in programming languages like Python or R, proficiency with data visualization tools, and knowledge of basketball analytics are essential. Gaining experience through internships or projects related to sports data can also improve job prospects.

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.

Is 30 too late for data science?

Full Time NBA Data Science roles typically require strong analytical skills, programming knowledge, and experience with sports data. Age is generally not a barrier if you have relevant skills, a solid portfolio, and demonstrate continuous learning through courses or certifications. Many professionals transition into data science later in their careers successfully.

How much does an NBA data scientist make?

An NBA data scientist typically earns between $70,000 and $130,000 annually, depending on experience, education, and the organization. Salaries can vary based on skills in data analysis, machine learning, and familiarity with sports analytics tools.

Do NBA teams have data scientists?

Yes, many NBA teams employ data scientists to analyze player performance, game strategies, and injury prevention. These professionals often use statistical tools, machine learning, and data visualization to support team decisions and improve performance.
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 Scientist / Data Science Specialist

Data Scientist / Data Science Specialist

Adidev Technologies Inc

Dallas, TX • On-site

Full-time

Posted yesterday


Job description

Adidev Technologies Inc
www.adidevtechnologies.com
URGENT HIRE - HIRING PROCESS - 24-48 HOURS!
Adidev Technologies is seeking 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 Analyst / 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 RESPONSIBILITIES
  • Perform exploratory data analysis, data verification, and cleaning, robust & reproducible statistical analysis with comprehensive reporting of results.
  • Develop novel ways to help business partners achieve objectives through analysis and modeling
  • Curate and connect external data sets for broad enterprise-wide analytic usage
  • Be a storyteller to explain the 'why and how' of your data-driven recommendations to cross-functional teams
  • Utilize machine learning to create repeatable, dynamic, and scalable models
  • Have a passion to advocate and educate on the value and importance of data-driven decision making and analytical methods
  • Responsible for implementing robust testing strategies leading to model optimizations, program effectiveness, and attribution of marketing mix elements

REQUIRED SKILLS
  • Experience designing, managing, developing, and analyzing multiple large complex data models spanning multiple disparate sources
  • Comfortable in basic statistical analysis, modeling, clustering, and data mining techniques to identify trends and insights
  • Proficiency in using query languages, such as SQL, Spark Data Frame API, etc. - an advantage
  • Lead the conception, development, and evaluation of new Deep Learning, Natural Language Processing, and Machine learning products.
  • Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
  • Experience in web technologies and frameworks (TensorFlow, PyTorch, Sci-kit Learn)
  • Familiarity with MLOps frameworks like MLflow.
  • Familiarity with SQL.
  • Some familiarity with AWS Lambda, AWS SageMaker, Jenkins, and Databricks.
  • Hands-on experience with AWS cloud computing services (IAM, EC2, Lambda, S3, DynamoDB, RDS, CloudFormation) for machine learning applications
  • Experience with Python and R, comfortable working with DataFrames
  • Ability to incorporate a variety of data sources in an analysis (HDFS, file, database, JSON, HTML, etc)
  • Experience with technologies used to build analytics dashboards/applications, such as RShiny, Dash, and Streamlit
  • Experience working with version control systems such as Git and SVN
  • Experience writing complex SQL queries
  • Understanding data warehousing and databases is critical
  • Experience with business intelligence/ visualization tools such as Qlik, Tableau or PowerBI

QUALIFICATIONS
  • Degree in Data Science, Computer Science, Engineering, Math, or Statistics preferred
  • At least 2 yrs of relevant experience in Data Science
  • Experience with Python
  • Experience with machine learning, Deep Learning
  • Mathematical and statistical background
  • Experience with Hadoop, Hive, and/or Spark

Benefits
  • Competitive Salary
  • Paid Relocation
  • Remote Support
  • Guaranteed Regular Salary Reviews
  • Job Type: W2 or Contract 1099 (full-time - 40 hours)