Senior Data Scientist

Our Maritz team is adding a Sr. Data Scientist to the group!The Sr. Data Scientist will leverage statistical analysis, causal inference, machine learning, data visualization, strategic thinking, behavioral science, and data storytelling to create value for Maritz clients.This person will work intimately with the client success and data engineering teams to complete projects and ensure client satisfaction. The ideal candidate will be able to identify and solve data science problems, communicate solutions to non-technical stakeholders, and own relationships with clients.Primary Responsibilities30% - Owns relationships with internal and external stakeholders. Works with client and sales teams to develop account strategies and deliver client solutions. Mentors junior team members to develop their data science and data analysis skills. Presents findings and recommendations to C-level clients in face-to-face meetings, emphasizing data-driven strategic insights to drive business performance.40% - Creates machine learning models for tasks like customer segmentation, sales forecasting, and churn prediction to improve clients’ programs. Applies techniques in causal inference and quasi-experimental design (e.g., matching, ITS) to determine the incremental effect of programs and interventions. Designs experiments and A/B tests to test interventions like emailed promotions. Visualizes and communicates findings in a clear, understandable manner to non-technical audiences.30% - Writes queries (BigQuery, SQL Server…) and scripts to gather, clean, and pre-process raw structured and unstructured data for data science tasks. Write scripts to automate data cleaning and fusion processes. Helps manage, maintain, and improve client data sources. Works with data engineering to deploy scripts and models as reliable pipelines.QualificationsRequired to be highly proficient in SQL and Python (R is a big plus).Must thrive when presenting complex analyses to non-technical stakeholders.2+ years of experience applying statistics, experimental design, and causal inference in industry.2+ years of experience developing end-to-end machine learning solutions.Must have desire to own stakeholder relationships (internal and external), and mentor junior level team members.Experience using cloud data science tools is a plus.Experience with promotions, customer lifecycle, engagement, or sales incentives a plus.Experience with behavioral science and/or behavioral economics a plus.Bachelor's degree or equivalent experience in statistics, economics, engineering, business, or other quantitative discipline required.

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