Candidates login or register below

Like Us

Candidate Login / Register

Data Scientist II Phoenix, AZ, US, 85004-2121


You will be a leader on a fast-growing team pursuing a vision for analytics-driven mining at Freeport.  We collect vast, streaming data sets from our mines around the world by deploying sensor technology and the data infrastructure to support it. Now, we can use the richest data pool in our history to solve complex, meaningful problems.  We seek bright individuals with a research and development mindset eager to apply their ideas in a real world, practical way. You will work in close collaboration with mining operations, subject matter experts, fellow data scientists, research institutions and senior leadership to develop advanced techniques in AI and ML as we work to create a Digital Mine. Candidates for this position must be prepared to lead project teams and mentor junior team members.

  • Help lead the creation of ML and AI solutions. Techniques include ML, NLP, video analytics, streaming analytics, and GPU-accelerated edge computing.
  • Apply your skills to test hypotheses and draw insights to support our goal of industry-leading, resource-efficient copper mining.
  • Utilize modern cloud technologies, such as Microsoft Azure, to deliver innovative analytics solutions at scale and visualize their impact for leadership. Employ best practices for containerization, version control, CI/CD, and DevOps/MLOps.
  • Lead teams in the build, implementation, and maintenance phases of practical, analytical assets that solve critical business problems. Work with multidisciplinary teams including miners, engineers, technologists, and other SMEs following an Agile methodology.
  • Perform other duties as required.


Minimum Qualifications

  • Bachelor’s degree in a technical engineering or analytical field (Statistics, Mathematics, etc.) or related discipline and seven (7) years of relevant work experience, OR
  • Master’s degree in a technical engineering or analytical field (Statistics, Mathematics, etc.) or related discipline and five (5) years of relevant work experience, OR
  • Ph.D. in a technical engineering or analytical field (Statistics, Mathematics, etc.) or related discipline and two (2) years of relevant work experience
  • Strong experience in at least two (2) areas of predictive modeling: AI, image/video/audio analytics; ML, tree-based analytics, gradient boosting, NLP; Simulations, reinforcement learning; Time-series analysis, anomaly detection, signal processing
  • Skilled with Python, R and SQL


Preferred Qualifications

  • You are an analytics specialist who enjoys grappling with vast data sets, tapped from our long-standing investment in collecting and cleaning data.
  • You are a quantitative maven who can build complex predictive models and unlock their value through Python, R, SQL and / or other rigorous analytical environments.
  • You are a passionate coach who enjoys bringing the best out of junior teammates and invests in their skills and professional development.
  • You have an agile mindset for iterative and incremental improvement.
  • You have a proven track record of collaborating with business partners to translate operational problems and needs into data-based analytical solutions.
  • You are ecstatic about modern technology and equipment
  • You are enthusiastic about working with a global team
  • Strong verbal and written communication skills in English language



  • 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 ten (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 

Freeport-McMoRan has reviewed the jobs at its various office and operating sites and determined that many of these jobs require employees to perform essential job functions that pose a direct threat to the safety or health of the employees performing these tasks or others.  Accordingly, the Company has designated the following positions as safety-sensitive:

  • Site-based positions, or positions which require unescorted access to site-based operational areas, which are held by employees who are required to receive MSHA, OSHA, DOT, HAZWOPER and/or Hazard Recognition Training; or 
  • Positions which are held by employees who operate equipment, machinery or motor vehicles in furtherance of performing the essential functions of their job duties, including operating motor vehicles while on Company business or travel (for this purpose “motor vehicles” includes Company owned or leased motor vehicles and personal motor vehicles used by employees in furtherance of Company business or while on Company travel); or
  • Positions which Freeport-McMoRan has designated as safety sensitive positions in the applicable job or position description and which upon further review continue to be designated as safety-sensitive based on an individualized assessment of the actual duties performed by a specifically identified employee.

Equal Opportunity Employer/Protected Veteran/Disability

Closing Date:

Return to search.

This website uses cookies. Read our cookie policy for more information. By continuing to browse this site you are agreeing to our use of cookies.

Latest Job Listings