Data Scientist

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 the 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 Data Frames.
• 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 A/B 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.