Build and lead a team of Data Scientists that inform, influence, and support business priorities across projects and platforms using data to validate hypotheses and provide effectiveness/efficiency solutions.
Manage the execution of the project roadmap, ensuring project delivery is in-line with business objectives and key results.
Approach model and project development from a client-focused process including needs assessment, requirements gathering, prototyping, UAT and partner engagement.
Proactively identify opportunities that can benefit from data science modeling and AI applications and manage the execution and implementation for impact.
Work effectively across multiple business units with numerous stakeholders to deliver advanced analytics and modeling solutions.
Foster a culture of collaboration by developing cross functional partnerships with business units to ensure impactful, positive business outcomes are prioritized.
Function as an expert and collaborate with the team to assess how models and methods can be adjusted for better predictive power and accuracy.
Lead the development of our predictive algorithms and machine learning applications across different areas with the aim of helping our stakeholders execute better, smarter and faster.
Design and implement scalable frameworks for Next Best Action/Offer (NBA/NBO) decisioning, connecting propensity scores to optimal customer interventions.
Continuously improve existing and architect and prototype new models, working with data science and cross-functional engineering teams to operationalize models into production.

Requirements

Bachelor’s degree in advanced mathematics, Statistics, Data Science or comparable field of study
12+ years of related professional experience
Demonstrated financial impact via data science applications.
Deep knowledge of machine learning algorithms and advanced statistics, specifically time series forecasting, probabilistic models, and decisioning/optimization algorithms.
Experience with statistical / ML platforms and modern data ecosystems (e.g., Python, R, Databricks, Spark, PyTorch).
Experience with forecasting business metrics, leading indicators and feature importance.
Experience making complex and broad predictions based on a vast amount of past and/or present data through the development of statistical and/or machine learning models.
Strong analytical and problem-solving skills to interpret data and draw conclusions.
Outstanding business acumen, collaborative approach and client orientation in addition to strong technical skills.
Strong ability to simplify complex analytics into understandable stories and clear recommendations that are easily understood and executable.

Benefits

A bonus and/or long-term incentive units may be provided as part of the compensation package
full range of medical, financial, and/or other benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data sciencemachine learningpredictive algorithmsadvanced statisticstime series forecastingprobabilistic modelsdecisioning algorithmsoptimization algorithmsstatistical modelingfeature importance

Soft Skills

analytical skillsproblem-solving skillsbusiness acumencollaborative approachclient orientationcommunication skillsstorytellingcross-functional collaborationleadershipstakeholder engagement