Job Description

Freeport-McMoRan is a leading international mining company with headquarters in Phoenix, Arizona. We operate large, long-lived, geographically diverse assets with significant proven and probable reserves of copper, gold, and molybdenum. The company has a dynamic portfolio of operating, expansion and growth projects in the copper industry. Freeport-McMoRan is one of the world\'s largest publicly traded copper producers, the world\'s largest producer of molybdenum and a significant gold producer. We have a long and successful history of conducting our business in a safe, highly efficient and socially-responsible manner.

We have the assets, the talent, the drive and the financial strength to provide attractive and rewarding careers of our employees. We encourage you to take the time to explore the opportunity to advance your career at Freeport-McMoRan.

Please note: This position has the possibility to work remotely up to 100% of the time. The position will require occasional travel to the Phoenix corporate offices and/or site locations . This position may be performed anywhere in the U.S. except California, Connecticut, New Hampshire, Massachusetts, Michigan, Illinois, Kentucky and New York. Additional states may be excluded from remote work based on business factors. Should the positions shift to in-office work in the future, the company will offer relocation benefits at that time should the position meet the established eligibility for these benefits.

Description

You will be a data science project leader within 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. As a project leader you will plan and manage all aspects of data science project execution while also utilizing your expertise to coach jr team members and independently develop solutions. Your data analysis, modeling, and project management skills will be an invaluable part of innovation at Freeport.

• Collaborate with technical and business experts to understand business requirements and develop an end-to-end plan for data science deliverables
• Plan, Create, and Implement complex models and algorithms independently while also coaching jr. team members and participating in R&D initiatives.
• Utilize modern cloud technologies and employ best practices from DevOps/MLOps to produce enterprise quality production Python and SQL code with minimal errors. Identify and direct the implementation code optimization opportunities and proactively pull in external experts as needed.
• Provide thought leadership in problem solving to enrich possible solutions and flexibly seek out new work or training opportunities to broaden experience
• Collaborate with a wide range of technical and business experts to communicate project deliverables in the context of business outcomes

Qualifications

Minimum Requirements:

• Bachelor\'s degree in a technical engineering or analytical field (Statistics, Mathematics, etc.) or related discipline and five (5) years of relevant work experience, OR
• Master\'s degree in a technical engineering or analytical field (Statistics, Mathematics, etc.) or related discipline and three (3) years of relevant work experience OR
• Ph.D. in a technical engineering or analytical field (Statistics, Mathematics, etc.) or related discipline and one (1) year of relevant work experience
• Python and SQL Programming Experience
• Knowledgeable Practitioner of at least three of the following analytical areas and the ability to articulate theoretical concepts from at least three

• 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
• Expert at 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 problem solving/root cause analysis on Production workloads
• Working knowledge of Agile, Scrum, and Kanban
• Experience as a positive mentor/coach to junior employees
• Experience influencing and building mindshare convincingly within a project team. Confident and experienced in public speaking to large audiences and storytelling with data.
• Strong verbal and written skills in English language.

Criteria/Conditions:

• 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

At Freeport, we are committed to providing an employment package that recognizes excellence, rewards value and impact, and encourages safe production. Benefits and compensation are foundational elements of this package, along with career development opportunities, job progression and a culture supported by our core values, among others. Learn more at:

Benefits:

We provide an industry-leading benefits package with some of the lowest cost to employees - offering health, wellness, life insurance, paid time off, retirement savings and more. These benefits are available to you and your dependents starting day one. Our comprehensive benefits program is important to how we support the health and wellness of employees and their families. For further benefits information please click here:

Compensation:

The estimated annual pay range for this role is currently $84,000 - $116,000. This range reflects base salary only and does not include bonus payments, benefits or retirement contributions. Actual base pay is determined by experience, qualifications, skills and other job-related factors. This role is eligible for additional discretionary and incentive payment considerations based on company and individual performance. More details will be shared during the hiring process. To view an example of a Total Rewards Estimate for this role click here: Total Rewards Estimate

Safety / Work Conditions:

Candidates will be required to participate in a post-offer, pre-employment medical examination for the following positions which may have essential job duties that can impact both their own safety and the safety of others:

• 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 \xe2\x80\x9cmotor vehicles\xe2\x80\x9d includes Company owned or leased motor vehicles and personal motor vehicles used by employees in furtherance of Company business or while on Company travel).

Equal Opportunity Employer

Freeport-McMoRan