MCS Data Scientist

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Job description

Description
Onsite - ATO. Will be reporting hours to site. Time: 8am-5pm standard some flexibility. Local Candidates who can drive/commute to HQ-Thousand Oaks (USTO) only.

Ideal: Biotech pharma background in Reliability Engineering.

Willing to consider cross industry background in auto oil/gas, aviation, Mechanical Engineering, Maintenance Engineering, Facilities Engineering, Electrical Engineering, Data Science.

Hiring Manager Intake Notes:
What type of qualities/characteristics are you looking for in candidates to work best with your team? Well-spoken and articulate, technically sound and thoughtful (soft skills/EQ), strong ability leading small teams, laser-focused org/proj management skills, and naturally comfortable presenting to operations team willingness to learn, adapt and deliver.
When reviewing resumes, what stands out to you when looking for the right applicants? Duration in position (?1 yr), tangible business deliverables (cost savings, efficiency, tool development, etc.), technical proficiency and competency (programming, software development, metrics)
What is your minimum education and experience requirements you think it suitable for this role? BS (Eng, Comp Sci, Data Analytics), 5-8 yrs relevant experience
What are your non negotiables for candidates? This position is an onsite role to meet and fulfill MCS operational needs (flexible work may be approved per reasonable circumstances)

Job Description:
Description (What the person will do):
Responsible for developing and deploying data-driven tools for asset reliability monitoring for MCS. This is a unique opportunity for 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, and 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 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

MCS DATA SCIENTIST Development Supply Chain (DSC) within Manufacturing and Clinical Supply is accountable for the end-to-end delivery of ?s clinical products, including planning, procurement, scheduling & capacity management, warehousing and worldwide distribution. Additionally, DSC teams are accountable for product set up, business process management and technology solutions to configure new products into the company?s clinical supply chain. As an integral part of ?s Process Development organization, DSC provides an innovation ecosystem for supply chain professionals. DSC supports differentiating, multi-modality manufacturing and enables the set up and ongoing support of innovative and biosimilar products in our clinical trials. DSC is seeking an Associate Data Scientist who would be focusing on the integration of complex data sources, performing data analytics on supply chain processes and developing various visualizations and dashboards! This role will be actively collaborating with a wide range of business leaders and design and implement sophisticated analytical models. Responsibilities will include, but are not limited to: Leverage large datasets to conduct end-to end supply chain analytics that include data gathering and requirements specifications, processing, analytics, and presentations Understand and capture business/functional requirements, Interact cross-functionally with a wide variety of people and teams. Synthesize input into prioritized feature list and build User Stories (requirements) for each feature Define and create automated interactive dashboards and tools that are turning data into business insights Document data relations, data flows and business logics behind the supply chain digitalization projects Partner with IS and Data Engineers to ensure that the models feeding the dashboards are robust, functional, and relevant to business needs Ensures delivery of efficient, agile, integrated business and system processes. Qualifications: Experience in a data science, data analyst, business analytics, business intelligence or comparable role Expertise using SQL to write complex queries across large volumes of data Proficiency in programming with Python, or R Tableau development/visualization experience including designing and developing reports and dashboards Ability to bridge functions, particularly technical and non-technical worlds Ability to communicate and provide meaningful business insights from data Strong verbal/written communication skills with attention to details and organization Shown success on delivering results on multiple projects in an agile and fast-paced environment

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