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Senior Data Science Analyst

dhjdnwh4qm62pb5vm2o4tbd72ej7oa01f47beu0d9d984ckrwi58r2ocg36n82t5 · 30+ days ago

Phoenix, AZ, US

$73k+
Estimation

Full-time

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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.
As 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.
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.

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.

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Last updated on Sep 11, 2023

About the company

D

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