Senior Data Science Analyst in Phoenix, AZ

Senior Data Science Analyst - Freeport-McMoRan - Phoenix, AZ - work from home job Company: Freeport-McMoRan 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 lead contributor 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, and software engineers to develop novel approaches to complex problems. As a lead contributor you will use your data analysis and modeling skills to independently develop models and exploratory data analysis while also coaching jr. team members to meet workstream deliverables. ? Collaborate with technical and business experts to understand business requirements and translate into solution, mathematical features ? Plan, create, and implement complex models and algorithms independently while also coaching jr. team members. ? 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 ? Independently conduct advanced analysis and visualize exploratory analysis clearly and concisely to provide a broad audience actionable insight, identify trends, and measure performance ? Constructively challenge while soliciting participation 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 the design, functioning, and output of models, analysis, and solutions developed Qualifications Minimum Requirements: ? Bachelor's degree in a technical engineering or analytical field (Statistics, Mathematics, etc.) or related discipline and four (4) years of relevant work experience, OR ? Master's degree in a technical engineering or analytical field (Statistics, Mathematics, etc.) or related discipline and two (2) years 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 ? 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 problem solving/root cause analysis on Production workloads ? Working knowledge of Agile, Scrum, and Kanban ? 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 $94,000 - $132,000. 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 ?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). Equal Opportunity Employer Expected salary: $94000 - 132000 per year Location: Phoenix, AZ Job date: Sun, 10 Sep 2023 01:18:11 GMT Apply for the job now!