Job Description

Description

You will help lead a fast-growing team pursuing a vision of 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 are seeking a leader with technical depth, an applied research and development mindset and excellent business and communication skills eager to solve real world problems. You will work in close collaboration with miners, 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 oversee multiple project teams, mentor team members, develop training curriculum and work closely with senior leadership.

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 craft the policies to support them as a thought leader. Employ best practices for containerization, version control, CI/CD, and DevOps/MLOps.
Help develop industry-leading processes to build, implement, and maintain 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.

Qualifications

Minimum Qualifications

Bachelor’s degree in a technical engineering or analytical field (Statistics, Mathematics, etc.) or related discipline and eight (8) years of relevant work experience, OR
Master’s degree in a technical engineering or analytical field (Statistics, Mathematics, etc.) or related discipline and six (6) years of relevant work experience, OR
Ph.D. in a technical engineering or analytical field (Statistics, Mathematics, etc.) or related discipline and three (3) 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
Experience with Big Data and cloud tools for machine learning
Demonstrated thought leadership in developing novel solutions

Preferred Qualifications

Ten (10) years of experience managing personnel
You are an analytics guru who enjoys grappling with vast data sets, tapped from our long-standing investment in collecting and cleaning data
You are a quantitative expert who can build complex predictive models and unlock their value through Python, R, SQL and/or other rigorous analytical environments
You are a seasoned coach who enjoys bringing the best out of junior teammates and invests in their development.
You have a proven track record of collaborating with business partners to translate operational problems and needs into data-based analytical solutions
You have the ability to generate insights from a variety of disciplines and industries
You have experience leading teams of data scientists, applying agile methodology, managing multiple work streams, and developing a strong, diverse, and creative team
You are a seasoned thought leader, developing and communicating strategic visions with senior leadership
Strong verbal and written communication skills in English language

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 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