Remoote.app

Work from anywhere. Start here.

JobsFree resume builderCompaniesLog in

Zelus Analytics

👥 51-100💰 $3.6m Series A on 2023-10-17AnalyticsSports
Website LinkedIn Facebook Twitter

Zelus Analytics is a sports intelligence platform that offers cutting-edge technology and data analysis services exclusively to professional sports teams in their network.

Related companies:

🏢 Hazel Health
👥 51-100💰 $51.5m Series C on 2022-10-27EducationHealth Care
Website LinkedIn Email Phone # Facebook Twitter
🏢 PerformYard
👥 51-100💰 $ on 2018-04-30SaaSEnterprise SoftwareSoftwareSocial Media
Website LinkedIn Email Phone # Facebook Twitter
🏢 Invite
👥 51-100E-CommerceOnline PortalsE-Commerce Platforms
Website LinkedIn Email Phone # Facebook

Jobs at this company:

Apply
🔥 Data Scientist
Posted 2024-08-19

📍 13 states, 7 countries

💸 75000 - 150000 USD per year

🔍 Sports analytics

  • Academic or industry experience in applied mathematical and predictive modeling (statistics, machine learning, optimization, simulation).
  • Experience with large, complex datasets from research or internships.
  • Fluency with statistical programming software such as Python or R.
  • Proficiency with relational databases and cloud computing.
  • Strong enthusiasm for sports analytics and awareness of advancements in the field.
  • Strong written and verbal communication skills.

  • Perform data modeling and quantitative analysis to support research projects on player and team performance.
  • Develop, validate, and automate quantitative models using statistics, machine learning, optimization, and simulation.
  • Collaborate with engineering to define and implement model productionalization and platform release plans.
  • Prepare detailed customer-facing reports regarding model selection and techniques.
  • Attend conferences and review literature for skill development.
  • Perform ad-hoc data analyses for partner teams.
  • Fulfilling other related duties and responsibilities.

PythonData AnalysisMachine LearningData analysisCommunication SkillsAnalytical Skills

Posted 2024-08-19
Apply
Apply
🔥 Machine Learning Engineer
Posted 2024-08-07

📍 United States, Canada

🧭 Full-Time

💸 $75,000.00 - $150,000.00 per year

🔍 Sports Analytics

  • Academic and/or industry experience in back-end software design and development.
  • Academic, industry, and/or research experience with applied mathematical and predictive modeling (statistics, machine learning, optimization, and/or simulation).
  • Experience with cloud infrastructure and distributed computing.
  • Fluency with Python (preferred), R, Scala, and/or other data-oriented and statistical programming languages.
  • Experience with relational databases and SQL development.
  • Familiarity working with Linux servers in a virtualized/distributed environment.
  • Strong software-engineering and problem-solving skills.

  • Develop, validate, and automate quantitative models using statistics, machine learning, optimization, and simulation.
  • Develop, schedule, monitor, and maintain model training and prediction workflows.
  • Coordinate with broader engineering team to plan and implement changes to core infrastructure to support one or more sports.
  • Collaborate with data scientists to define and manage model productionalization and platform release plans.
  • Deploy REST APIs on top of fitted models using distributed computation to support real-time, client-facing integration.
  • Collaborate and communicate effectively in a distributed work environment.
  • Fulfill other related duties and responsibilities, including rotating platform support.

PythonSQLMachine Learning

Posted 2024-08-07
Apply
Apply
🔥 Data Engineer
Posted 2024-08-07

📍 United States, NOT STATED

💸 75000 - 150000 USD per year

🔍 Sports analytics

  • Academic and/or industry experience in back-end software design and development.
  • Experience with ETL architecture and development in a cloud-based environment.
  • Fluency in SQL and knowledge of database and data warehousing technologies.
  • Proficiency with Python, Scala, or other data-oriented programming languages.
  • Experience with automated data quality validation across large datasets.
  • Familiarity with Linux servers in a virtualized/distributed environment.
  • Strong software-engineering and problem-solving skills.

  • Design, develop, document, and maintain the schemas and ETL pipelines for internal sports databases and data warehouses.
  • Implement and test data collection, mapping, and storage procedures for secured access to various data sources.
  • Develop algorithms for quality assurance and data preparation for analysis and modeling.
  • Profile and optimize automated data processing tasks.
  • Coordinate with data providers about raw data feed changes.
  • Deploy and maintain monitoring tools.
  • Collaborate effectively in a distributed work environment.
  • Fulfill other related duties, including platform support.

PythonSQLETLAlgorithmsData engineeringLinux

Posted 2024-08-07
Apply