Data Science Analyst II : Phoenix, AZ, US, 85004-2121

Description

You will be an independent contributor on a fast-growing Data Science team pursuing a vision of analytics-driven mining at Freeport. You will work in close collaboration with global mining operations, subject matter experts, data scientists, data engineers, and software engineers to develop novel approaches to complex problems. Your data analysis and modeling skills will be an invaluable part of innovation at Freeport.

• Plan, create, and implement complex models and algorithms for defined features to drive analytical solutions throughout the organization
• Independently conduct advanced analysis and visualize exploratory analysis clearly and concisely 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 with minimal errors
• Collaborate with a wide range of technical and business experts to communicate the design, functioning, and output of models, analysis, and solutions developed
• Constructively challenge in problem solving to enrich possible solutions and flexibly seek out new work or training opportunities to broaden experience

Qualifications

Minimum Requirements:

• Bachelor’s degree in a technical engineering or analytical field (Statistics, Mathematics, etc.) or related discipline and three (3) years of relevant work experience, OR
• Master’s degree in a technical engineering or analytical field (Statistics, Mathematics, etc.) or related discipline and one (1) years of relevant work experience
• Python and SQL Programming Experience
• Knowledgeable Practitioner of at least two 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
• Experience executing the Data Science development workflow including data manipulation and cleaning, feature engineering, model selection, model training, modeling 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 Agile, Scrum, and Kanban
• Working knowledge of problem solving/root cause analysis on Production workloads
• Confident and experienced in public speaking to large audiences and storytelling with data.

Criteria/Conditions:

• Travel required up to 50%
• Position is in busy, non-smoking office located in downtown Phoenix, AZ
• Location requires mobility in an office environment; each floor is accessible by elevator. Occasionally work will be performed in a mine, outdoor or manufacturing plant setting.
• Must be able to frequently sit, stand and walk.
• Must be able to frequently lift and carry up to 10 pounds.
• Must be able to work in a potentially stressful environment.
• Personal protective equipment is required when performing work in a mine, outdoor, manufacturing or plant environment, including hard hat, hearing protection, safety glasses, safety footwear, and as needed, respirator, rubber steel-toe boots, protective clothing, gloves and any other protective equipment as required.
• Freeport-McMoRan 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