What are the responsibilities and job description for the Data Science Advisor position at AccruePartners?
Job Description
Data Science Advisor in Charlotte, North Carolina
Posted 07/12/23
THE TEAM YOU WILL BE JOINING
WHAT THEY OFFER YOU
LOCATION
WHY THIS ROLE IS IMPORTANT
THE BACKGROUND THAT FITS
#LI-HF1
Posted 07/12/23
THE TEAM YOU WILL BE JOINING
- 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)
LOCATION
- 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.
#LI-HF1
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