MilliporeSigma is looking to drive business decisions by developing and applying advanced statistical, artificial intelligence / machine learning, and data science methods to uncover patterns, generate insights, and forecast outcomes, particularly in the areas of eCommerce initiatives such as personalization, experimentation, forecasting, pricing, and customer behavior modeling.
Requirements
- Hands-on experience with marketing analytics, including attribution modeling and marketing mix modeling (MMM)
- Advanced proficiency with SQL and cloud-based databases
- Proficiency with statistical and machine learning programming languages such as Python or R
- Familiarity with big data frameworks and distributed computing (e.g., Spark, Databricks)
- Experience with digital analytics tools such as Adobe Analytics, Google Analytics, Optimizely, or similar
- Proficiency with data visualization tools such as Tableau, Qlik, or Looker
- Strong experience in applying predictive modeling, time-series forecasting, clustering, regression, and classification techniques to solve business problems
Responsibilities
- Design experiments, measure usability and effectiveness, and make recommendations for improvements, collaborating closely with marketing, digital, product, and eCommerce operations teams.
- Leverage analytics and predictive modeling to provide forward-looking insights on potential costs, risks, and profitability of new initiatives.
- Build scalable data science solutions, automate reporting pipelines, and partner with stakeholders across the organization to ensure insights drive measurable impact.
- Lead large projects and initiatives, providing strategic direction while mentoring and developing more junior team members to elevate overall team capabilities.
Other
- Self-motivated, intellectually curious, and highly skilled at transforming complex datasets into actionable insights.
- 6+ years of experience in Data Science, Advanced Analytics, or a related field
- Bachelor’s in Data Science, Statistics, Applied Math, Economics, Computer Science, or a related field; OR Bachelor’s in a Life Sciences field with a data science or advanced analytics certificate
- Strong and effective relationship-building, influencing, change management, and networking skills
- Proven excellence in communication skills, including the ability to translate technical insights for business stakeholders
