Job Details
Job Description:
Requirement:
- Candidate will be a lead contributor within a fast-growing Data Science team pursuing a vision of analytics-driven mining at Freeport.
- Candidate will work in close collaboration with global mining operations, subject matter experts, data scientists, and software engineers to develop Client approaches to complex problems.
- s a lead contributor Candidate will use candidate 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:
- Bachelors degree in a technical engineering or analytical field (Statistics, Mathematics, etc.) or related discipline and four (4) years of relevant work experience or.
- Masters 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.
- bility 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.
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.