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Data Science Analyst I

  • Location: Phoenix, 85004
  • Salary: $82000 - $90000 / year
  • Job Type:Permanent

Posted 14 days ago

REMOTE opportunity with a FULL suite of benefits

Title: Data Science Analyst I
Location:  Remote with travel
Type: Permanent


You will work in close collaboration with global operations, subject matter experts, data scientists, data engineers, and software engineers to develop novel approaches to complex problems. 


  • Create and Implement complex models and algorithms as instructed to drive analytical solutions throughout the organization
  • Conduct advanced statistical and visualize exploratory analysis as instructed to provide actionable insights, identify trends, and measure performance
  • Utilize modern cloud technologies and employ best practices from DevOps/MLOps to produce enterprise quality production Python and SQL code as part of an agile team
  • Actively participate in problem solving to enrich possible solutions and flexibly seek out new work or training opportunities to broaden experience
  • Collaborate with agile team to communicate the design, functioning, and output of models, analysis, and solutions developed
  • Performs other duties as required.
  • Up to 50% travel required

Minimum Requirements:

  • Bachelor’s degree in a technical engineering or analytical field (Statistics, Mathematics, etc.) or related discipline and one (1) years of relevant work experience 
    • OR
  • Bachelor’s degree in a technical engineering or analytical field (Statistics, Mathematics, etc.) or related discipline and one (1) internship in Data Analytics, Data Science, or in an analytics related field that included data analysis as part of the internship
    • OR
  • Master’s degree in a technical engineering or analytical field (Statistics, Mathematics, etc.) or related discipline.
  • Python and SQL Programming Experience
  • Ability to articulate theoretical concepts in at least one of the following analytical areas
    • Statistics & Statistical Modeling, including Time-Series Modeling
    • Simulation Techniques, including MCMC or an equivalent
    • Neural Networks / Deep Learning
    • Tree Based Machine Learning Algorithms
    • Unsupervised Learning
    • Classification techniques, including Support Vector Machines or an equivalent
    • Optimization Heuristics
    • Text Analytics
  • Ability to visualize data utilizing programmatic techniques
  • Working knowledge of the Data Science development workflow including data manipulation and cleaning, feature engineering, model selection, model training, model validation, model deployment

Preferred Qualifications:

  • Working Knowledge of MLOps/DevOps concepts (Version Control, CI/CD, Trunk Based Development/PR Based Development/GIT, Test driven development)
  • Working Knowledge of Azure Machine Learning Environment
  • Working Knowledge of Software Engineering and Object Orient Programming Principles
  • Working Knowledge of Distributed Parallel Processing Environments such as Spark or Snowflake
  • Working Knowledge of Edge Analytics, embedded systems, or computer vision.
  • Working Knowledge of Data Architecture, engineering, and ETL teams
  • Working knowledge of problem solving/root cause analysis on Production workloads
  • Working Knowledge of Agile, Scrum, and Kanban
  • Confident and experienced in public speaking to large audiences and storytelling with data.
  • Our client promotes a drug/alcohol-free work environment through the use of mandatory pre-employment drug testing and on-going random drug testing as allowed by applicable state laws