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

His/her responsibility will be to define data science standards, uncover areas in which data science can drive business value, and provide guidance to the team of data scientists on how to best apply ...

His/her responsibility will be to define data science standards, uncover areas in which data science can drive business value, and provide guidance to the team of data scientists on how to best apply ...

Well-rounded background in data science methods (e.g., supervised and unsupervised learning, anomaly detection, time series forecasting, survival analysis, simulation, optimization, causal analysis)

Well-rounded background in data science methods (e.g., supervised and unsupervised learning, anomaly detection, time series forecasting, survival analysis, simulation, optimization, causal analysis)

Core Data Science & Analytics Demonstrate strong expertise in data exploration, feature engineering, statistical modeling, and predictive analytics, with the ability to operationalize models in ...

In addition, this role requires networking with experts, both academic and industry, to further the application of data science to business problems. Key Responsibilities: * 25% Solution Development ...

Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative field. * 8+ years of experience in Data Science, Machine Learning ...

Experience • 5+ years of experience in data science, machine learning, or related analytical roles. • 5+ years of experience with Python and data science libraries (pandas, NumPy, scikit-learn ...

... in creative and effective ways, operating with a high degree of independence. This role is expected to represent the data science function with senior stakeholders and contribute durable analytical ...

Participates in model reviews, code reviews, and technical discussions with data science peers. Position Qualifications: Minimum Job Requirements * Graduate degree inMathematics,Statistics ...

Showing results 41-60

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

Data Science Engineer (Python & Databricks) - Q125

R2 Technologies Corporation

Alpharetta, GA • On-site

$111K - $134K/yr

Full-time

Medical, Retirement, PTO

Re-posted 4 days ago


Job description

Overview:
R2 Technologies Corporation (R2), headquartered in Alpharetta, GA, is a leading IT services provider specializing in Java, .NET, Big Data, Cloud Computing (AWS, GCP, Azure), Artificial Intelligence (AI), Machine Learning (ML), software development, project management, SAP, and enterprise resource planning (ERP). We empower clients-from startups to Fortune 1000 companies-with scalable, platform-based solutions and data-driven insights using modern cloud technologies. Our commitment to blending highly skilled talent with innovative productivity platforms ensures rapid delivery of business value, making us one of the most respected and trusted technology companies in the United States. At R2, we're passionate about driving operational excellence and competitive advantage for our clients through cutting-edge AI, ML, and cloud solutions. Join our team and help shape the future of technology innovation!
Data Science Engineer (Python & Databricks)
Location: Alpharetta, GA (willing to travel to client locations)
Employment Type: Full-Time (W2)
Role Overview
We are seeking a talented Data Science Engineer to leverage Python and Databricks for building machine learning solutions. This role focuses on developing data-driven insights and models within a scalable Spark environment.
Key Responsibilities
  • Develop data science solutions using Python and Databricks for analytics and ML workflows.
  • Build and optimize Spark-based data pipelines to support machine learning model training.
  • Collaborate with data scientists to implement and deploy ML models in production.
  • Analyze large datasets to extract actionable insights using Python and Spark tools.
  • Ensure scalability and performance of data science workflows on Databricks clusters.
  • Monitor and refine ML solutions to maintain accuracy and efficiency over time.

Required Qualifications
  • Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience).
  • 3 years of experience as a Data Science Engineer with Python and Databricks.
  • Proficiency in building ML models and data pipelines using Spark on Databricks.
  • Experience with Python for data analysis, modeling, and pipeline development.
  • Strong understanding of data science and machine learning integration in distributed systems.

Preferred Qualifications
  • Familiarity with advanced Databricks features like Delta Lake or MLflow for ML workflows.
  • Exposure to cloud platforms like AWS or Azure for hosting Databricks environments.
  • Knowledge of statistical modeling or deep learning frameworks like TensorFlow.

Compensation & Benefits
  • Competitive salary and comprehensive benefits package (healthcare, PTO, 401k).
  • Opportunities for professional growth and upskilling in AI and cloud technologies.

R2 Technologies Corporation is an equal opportunity employer and values diversity in the workplace.
Skills:
Data Science Engineer, Python, Databricks, Spark, Machine Learning