Job Id
291171
St. Louis, Missouri, United States
Job Type
Full-time
Work Your Magic with us! Start your next chapter and join MilliporeSigma.
Ready to explore, break barriers, and discover more? We know you’ve got big plans – so do we! Our colleagues across the globe love innovating with science and technology to enrich people’s lives with our solutions in Healthcare, Life Science, and Electronics. Together, we dream big and are passionate about caring for our rich mix of people, customers, patients, and planet. That’s why we are always looking for curious minds that see themselves imagining the unimaginable with us.
This role does not offer sponsorship for work authorization. External applicants must be eligible to work in the US.

PREFERRED QUALIFICATIONS:

• Hands-on experience with marketing analytics, including attribution modeling and marketing mix modeling (MMM)
• Structured problem-solving skills – ability to decompose complex problems and design robust analytical approaches
• 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
• Experience designing and analyzing A/B and multivariate experiments
• Ability to create strong, clear presentations around complex data and technology tailored to audiences of varying technical expertise
• Master’s Degree in Data Science, Statistics, Applied Math, Computer Science, or related field; or PhD in a quantitative discipline or Life Sciences with advanced analytics background
• 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
• Ability to perform root cause analysis on data and processes to identify opportunities for optimization
• Demonstrated ability to lead multiple complex projects independently, collaborating across diverse teams and external partners
  What we offer: We are curious minds that come from a broad range of backgrounds, perspectives, and life experiences. We believe that this variety drives excellence and innovation, strengthening our ability to lead in science and technology. We are committed to creating access and opportunities for all to develop and grow at your own pace. Join us in building a culture of inclusion and belonging that impacts millions and empowers everyone to work their magic and champion human progress!
  and become a part of a team that is dedicated to Sparking Discovery and Elevating Humanity!

As a Senior Data Scientist you will 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. In addition to high-quality analyses that identify business opportunities, you will play a critical role in advancing high-priority eCommerce initiatives such as personalization, experimentation, forecasting, pricing, and customer behavior modeling. You will also leverage expertise in marketing analytics—such as attribution modeling and marketing mix modeling (MMM)—to support data-driven strategic decisions where applicable.

• 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.