Extract and manipulate datasets from different data sources such as databases, text files, etc.
Develop and implement machine learning models and algorithms.
Research and develop heuristics used to solve daily operating problems.
Create data visualizations and dashboards to communicate findings to stakeholders.
Work with operations teams and other non-technical stakeholders to implement solutions.
Works on multiple tasks/projects as a team member.
Provides input to business requirements for the design of solutions.
Interprets business requirements and determines optimum data science solutions to meet needs.
Identifies and provides input to new technology opportunities that will have an impact on the PCC Metals’ systems.
Transforming, integrating, and presenting data for analysis
Provides input to the development of information quality metrics.
Integrate R and Python into BI objects to provide analytics beyond what BI tools are capable of.
Define and evaluate performance metrics to measure the impact of operational improvements
Requirements & Skills:
Highly motivated, independent, attention to detail, big-picture thinker, and innovative, communicator.
Strong written and verbal communication skills – ability to effectively collaborate with other Analysts as well as non-technical personnel to move projects forward.
Strong knowledge of machine learning techniques and algorithms.
Knowledge of basic data modeling principles (star schema, relational databases, etc.)
Willingness to observe and learn manufacturing processes.
Proficient in statistical analysis.
Ability to design a solution architecture in a constrained environment (limited tools available, isolated networks, etc.) and see it through from development through deployment and sustainment.
Use “design thinking” to solve operational challenges in a way that ensures adoption by operators and managers alike.
Bachelor’s degree in statistics, mathematics, computer science, or related field.
Master’s degree preferred.
2+ Years of Analytics Domain experience.
Experience with cloud technologies is desirable. AWS preferred.
Programming Languages Python or R
Business Intelligence tools Power BI (preferred), Tableau, or Shiny (preferred)
Data Manipulation SQL (required), Spark, Pandas, or dplyr
General Software Microsoft Word, PowerPoint, and Excel
