Data Science Marketing Manager

Our vision for the future is based on the idea that transforming financial lives starts by giving our people the freedom to transform their own. We have a flexible work environment, and fluid career paths. We not only encourage but celebrate internal mobility. We also recognize the importance of purpose, well-being, and work-life balance. Within Empower and our communities, we work hard to create a welcoming and inclusive environment, and our associates dedicate thousands of hours to volunteering for causes that matter most to them.

Chart your own path and grow your career while helping more customers achieve financial freedom. Empower Yourself.

Empower India Marketing team is looking for an experienced Data scientist with strong background in advanced statistical modeling, machine learning and predictive modeling. The ideal candidate will have hands-on experience in developing, deploying and optimizing advanced data models that drive actionable business insights and strategic decisions.

Role Responsibilities:

• Work closely with cross-functional teams to understand complex business problems and build modeling framework to help solve for them
• Understand the data need, collect, interpret and clean the data
• Design, develop, and validate advanced machine learning and statistical models
• Evaluate and interpret model results using appropriate metrics (e.g., AUC, precision/recall, RMSE)
• Deploy models into production environments and monitor their performance over time
• Produce meaningful insights using data modelling techniques and interpret and justify the results with the business context
• Identify modelling opportunities proactively which can help the business and drive the project
• Take internal trainings on relevant skills
• Present results to the senior leadership
• Stay up to date with the latest advancements in machine learning, AI, and data science

Educational Qualification:

• Graduate / post-graduate degree in Business Management / Statistics / Economics / Finance

Required Experience:

• 8-14 years of experience working in analytics, data science or related experience
• Attention to detail, and should be open to learn quickly on new technologies and statistical techniques in analytics
• Well-grounded exposure to Machine Learning, AI, SAS, AWS, Python, Tableau etc.
• Working experience with tools such as Google Analytics/ Adobe Analytics
• Handling end-to-end projects independently.

Required skills and competencies:

• Strong knowledge of and experience with the data modelling techniques like Time Series, Regression, Segmentation, Clustering, Market Mix, Machine Learning, AI.
• Solid understanding of statistical techniques, machine learning algorithms and model evaluation frameworks
• Strong analytical skills to be able to understand complex business problems, collect and analyze the data and be able to interpret the results
• Lead and drive cross functional projects
• Strong written and verbal communication skills to explain complex models and data-driven insights to senior stakeholders
• Domian knowledge in wealth management
• Self-motivated, excellent accountability and ownership skills
• Excellent team player
• Adopt organizational changes and drive the organizational values

We are an equal opportunity employer with a commitment to diversity.  All individuals, regardless of personal characteristics, are encouraged to apply.  All qualified applicants will receive consideration for employment without regard to age, race, color, national origin, ancestry, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, religion, physical or mental disability, military or veteran status, genetic information, or any other status protected by applicable state or local law.