About WestRock (NYSE: WRK) partners with our customers to provide differentiated paper and packaging solutions that help them win in the marketplace. WestRock’s 45,000 team members support customers around the world from more than 300 operating and business locations spanning North America, South America, Europe, Asia and Australia. Learn more at www.westrock.com.
Associate Data Scientist
As an Associate Data Scientist at WestRock, you will be part of a cross-functional team dedicated to building and delivering innovative products with high impact and visibility within the organization. You will leverage advanced techniques, such as optimization, data mining, statistical analysis and mathematical modeling, to develop solutions that help us operate more efficiently and cost-effectively. You will be expected to engage with our business partners to identify data-driven opportunities and develop corresponding predictive/prescriptive models to solve business problems. You will be responsible for collecting, organizing, analyzing, and then sharing insights gleaned from data.
How you will impact WestRock:
Works with stakeholders throughout WestRock to identify opportunities for leveraging data to drive business solutions
Analyzes large data sets and use programming languages such as Python, R, IBM SPSS Modeler to develop statistical and optimization models to drive business solutions.
Builds large data sets from multiple sources to build algorithms for predicting future data characteristics. Those algorithms will be tested, validated, and applied to large data sets.
Setups and deploys models/solutions in a live/production environment.
Identify data needs and requirements for data collection, transformation and integration to support modeling needs
Prepare technical reports, presentations, and status briefings to communicate status and results of analysis to other business partners within WestRock.
Seeks further knowledge on key developments within data science, technical skill sets, and additional data sources within WestRock.
What you need to succeed:
The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in Industrial Engineering, Operations Research, Computer Science, Math or related quantitative field with at least two years of experience manipulating data sets and building statistical models.
2-3 years experience programming, data mining and machine learning
Analytical and detail oriented with the ability to prioritize, execute and deliver projects on time
Must be comfortable with unstructured, fast moving and constantly evolving high growth environment
Committed team player who is proactive and works hard to support those around them.
Master’s degree in Industrial Engineering, Operations Research, Computer Science, Math or related quantitative field.
Experience with machine learning, graph analysis and statistical modeling.
Proficiency in at least one statistics/data analysis package, such as Spark, Python or R.
Proficiency in at least one programming language, such as Python or Java, etc.
Experience with Hadoop or other big data tools.
Experience with deploying data science solutions in a live, production environment.
Experience with optimization solver engines (e.g., CPLEX, GUROBI) a plus
Experience with optimization modeling languages (e.g., AMPL, OPL) a plus
Solid coding practices including good design documentation, unit testing, and integration testing.
Knowledge, Skills, Abilities and Competencies:
Strong communication and data presentation skills; ability to communicate with data-driven stories
Ability to quickly adapt to new technologies, tools and techniques
Flexible and responsive; able to perform in a fast paced, dynamic work environment and meet aggressive deadlines
Ability to work with technical and non-technical team members
What we offer:
Corporate culture based on integrity, respect, accountability and excellence.
Comprehensive training with numerous learning and development opportunities.
An attractive salary reflecting skills, competencies and potential.
A career with a global packaging company where Sustainability, Safety and Inclusion are business drivers and foundational elements of the daily work.