Responsibilities:

• Collaborate with business partners to develop novel ways to meet objectives utilizing cutting edge techniques and tools

• Effectively communicate the analytics approach and how it will meet and address objectives to business partners

• Advocate and educate on the value of data driven decision making focusing on the “how and why” of solving problems

• Lead analytic approaches, integrating work into applications and tools with data engineers, business leads, analysts and developers

• Create repeatable, interpretable, dynamic and scalable models that are seamlessly incorporated into analytic data products

• Engineer features by using their business acumen to find new ways to combine disparate internal and external data sources

• Share their passion for Data Science with broader enterprise community; identify and develop long-term processes, frameworks, tools, methods and standards

• Collaborate, coach, and learn with a growing team of experienced Data Scientists

• Stay connected with external sources of ideas through conferences and community engagements

Domain Expertise:

• Bachelor’s degree required

• Graduate degree in quantitative discipline and demonstrated Data Science skill set, plus 3+ years work experience

• Must have Python or R proficiency working with DataFrames

• Must have proficiency writing complex SQL queries

• Must have proficiency with Machine Learning to solve clustering, classification, regression, anomaly detection, simulation and optimization problems on large scale data sets

• Must have proven ability to merge and transform disparate internal & external data sets together to create new features

• Advanced time series forecasting understanding – from classical linear approaches to ML ones

• Understanding the key business metrics and its application to ML models

• Experience with sophisticated data cleansing approaches & robust models

• Proficiency validating the current approaches and understanding the improvement area

• Experience with Big Data technologies preferred — Hadoop, Spark, H20.ai, Cloud AI platforms, containerization

• Experience with supporting deployment, monitoring, maintenance and enhancement of models desired

• Experience with data visualization tools preferred — Power BI, Tableau, R Shiny, Plotly, etc.

• Experience with AB testing preferred

We offer:

• Competitive salary
• Advanced benefits package (annual bonus, health insurance, mobile compensation, partial fitness compensation, 3-year saving plan)
• Professional development and career growth
• Ability to take part in digital transformation in a large company