Senior Data Scientist

Senior Data Scientist
Price optimization pioneers Ken and Tim Ouimet created Engage3 to revolutionize
how brands and retailers engage with their shoppers. Engage3 provides the
industry's most comprehensive omnichannel competitive intelligence solution,
combining best-in-class AI-enabled web crawls, professional in-store audits, and self-
serve in-store and online data collection into a single source of truth. Leveraging
advanced algorithms and the Nobel Prize-winning Efficient Frontier theory, Engage3
helps retailers and brands track and optimize their Price Image to profitably
accelerate revenue growth, drive incremental store trips, and increase margins.
Engage3 serves over 300 customers in 182 countries, including 7 of the world's top
10 retailers, and supports over $4 trillion in global retail revenue. Engage3's
leadership team comprises former executives from KhiMetrics, Mozenda, SAP,
Revionics, dunnhumby, KSS Retail, IBM/DemandTec, and Nielsen.

As a Senior Data Scientist for Engage3, you will play a pivotal role in developing and
enhancing our customer segmentation solutions to drive business growth for our
retail clients. You will utilize advanced analytics techniques, statistical models, and
machine learning algorithms to derive actionable insights from large datasets.

Key Responsibilities

• Customer Segmentation Analysis: Utilize clustering techniques and
  predictive modeling to segment customers based on various attributes such
  as demographics, purchasing behavior, and psychographics. Evaluate the
  effectiveness of marketing campaigns and promotions for different customer
  segments.
• Predictive Analytics: Build and refine predictive models to anticipate
  customer purchasing behavior and lifetime value. Identify cross-selling and
  upselling opportunities based on customer segmentation analysis.
• Data Visualization and Reporting: Create insightful visualizations and
  reports to communicate findings and recommendations to stakeholders,
  including technical and non-technical audiences. Develop KPIs to monitor
  pricing performance and customer segmentation metrics. Present findings to
  senior leadership and provide strategic insights to drive business decisions.
• Teamwork: Collaborate with cross-functional teams to translate business
  needs into data-driven solutions and ensure seamless integration with existing
  systems.
• Documentation: Create and maintain comprehensive documentation for
  data processes, methodologies, and analyses. Ensure clear and consistent
  communication of data insights for future reference and knowledge transfer.

Qualifications

• Ph.D. in a quantitative field or 5+ years of industrial experience developing
  and integrating analytical tools.
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• Proficiency in Python and experience with data manipulation and analysis
  libraries (e.g., pandas, NumPy, scikit-learn).
• Experience working with large datasets and SQL databases.
• Strong understanding of statistical modeling techniques, machine learning
  algorithms, and data mining methodologies.
• Excellent problem-solving skills, with the ability to think critically and provide
  data-driven insights and recommendations.
• Excellent communication and presentation skills, with the ability to translate
  complex technical concepts into actionable insights for non-technical
  stakeholders.
• Proven ability to work independently and take ownership of projects, while
  also being an effective team player when collaborating with colleagues.
• Adept at learning new tools and expertise in a timely manner when necessary.
  The ideal candidate will thrive in a dynamic environment where adaptability
  and continuous learning are valued.