Multi-Billion Dollar global developer and manufacturer of advanced specialty materials
Over 100 years of history with one of the largest global platforms in the industry; operations and facilities in 100 countries
High growth company expanding their footprint through globally with over 6000 employees
Diverse products that are used in an array of industries including pharmaceutical, cleaning product manufacturers, water treatment, agricultural, electronics goods manufacturers, refineries, and paper and photographic companies
Company has strong leadership and extensive experience taking company to the next level through innovation and sustainability
WHAT THEY OFFER YOU
Outstanding opportunity to work with a first-class leadership team in a high growth, global business
Position with significant impact on high priority initiatives
Competitive Salary and Benefits (401k match, Health, Dental, Vision)
On-Site in Charlotte, NC or Houston, TX
Hybrid schedule, 2-days in office minimum
Up to 10% travel as needed
WHY THIS ROLE IS IMPORTANT
The Data Science Advisor will be a key member in advancing the company's digital business transformation goals.
Leverage your expertise in modeling, data analysis, forecasting, visualization, and scenario testing to guide Albemarle's product, research, and investment decisions.
Serve as a Subject Matter Expert, providing guidance and best practices for developing models and analytics that address strategic questions.
Work closely with leaders from various departments, including Product Management, Sales, R&D, Manufacturing, and Finance, offering industry thought leadership and tools to help them understand system dynamics, compare scenarios, evaluate risks, and make informed decisions.
Responsible for creating scenarios that assess market dynamics and technology innovation, influencing commercial strategy and R&D prioritization.
THE BACKGROUND THAT FITS
Bachelor’s degree in Computer Science or relevant field, required / Masters degree or PhD highly preferred.
3-5 years of experience in a data science position performing market research, business analysis, data modeling and programming.
Hands-on programming background using tools such as Python, MATLAB, R, C++, SQL or Java.
Experience creating dashboards and reports using visualization tools such as PowerBI, Tableau, Plotly or Matplotlib.
Confident experience in leveraging data to make strategic recommendations or informative decisions to the leadership team.