MCS Data Scientist

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Job description

Summary:

Responsible for developing and deploying data-driven tools for asset reliability monitoring for MCS. This is a unique opportunity for company's staff to learn the diverse MCS operations Drug Substance, Drug Product, and Warehouse. Interact with various MCS Fac & Eng SMEs to develop knowledge on KPIs for equipment and advance existing framework of system monitoring analytics. The outcome of this effort will be to build dynamic platforms and data architecture that can aggregate reliability performance of all MCS assets, while providing ability to assess Asset Hierarchy at the system-level down to the component-level. In this role, the staff will be reporting into MCS Reliability Principal Engineer for guidance as well as interact with other F&E plant leaders for client feedback and support.

Other key learnings for staff in this role are applications of reliability centered maintenance strategies, predictive maintenance techniques, good engineering practices, advanced data analytics, and project management capabilities for Reliability Engineering.

Responsibilities:

Regularly apply theories and principles from Data Analysis to develop and deploy asset performance monitoring tools.

Developing, programming, improving, automating, and deploying reliability models

Facilitate reliability centered maintenance assessments, collaborate with SMEs to apply six sigma methodologies for improving maintenance strategies, and implementation

Train, perform, and develop reliability tools and procedures (OEE, RCM, FMEA, RCA, reliability models, statistical analysis, FRACAS. etc.)

Contribute to Reliability Engineering strategic planning and continuous improvement opportunities

Create reliability documents, business process documents, schedules, and reports

Collaborate closely with Maintenance, Engineering, Manufacturing to understand and respond to the Voice of the Customer

Preferred Qualifications:

Experience with a variety of data analysis and modeling methods

Proficient in Spotfire/Tableau, SQL, Python, R as well as ability to develop advanced visualizations via R-shiny, Dash, or JavaScript technologies

Strong statistics and programming background with proven experience delivering on data analytics

Strong verbal and written communication skills

Desired Skills:

Engineering Degree

Manufacturing and Operations experience

Lean six sigma experience

Reliability knowledge is not required but preferred

Experience in Facilities & Engineering, Utilities is not required but preferred

Top 3 Must Have Skill Sets:

Regularly apply theories and principles from Data Science to develop and deploy asset performance monitoring tools.

Facilitate reliability centered maintenance assessments, Implementation of PdM/CBM technologies, collaborate with SMEs to apply six sigma methodologies for improving maintenance strategies, and implementation

Train, perform, and develop reliability tools and procedures (RCM, FMEA, RCA, reliability models, statistical analysis, etc.)

Compensation:

The pay rate range above is the base hourly pay range that Aditi Consulting reasonably expects to pay someone for this position (compensation may vary outside of this range depending on several factors, including but not limited to, a candidate's qualifications, skills, competencies, experience, location and end client requirements).

Benefits and Ancillaries:

Medical, dental, vision, PTO benefits and ancillaries may be available for eligible Aditi Consulting employees and vary based on the plan options selected by the employee.

Aditi Consulting LLC uses AI technology to engage candidates during the sourcing process. AI technology is used to gather data only and does not replace human-based decision making in employment decisions.

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