Data Science Trainee

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

Requirements:

• Domain Expertise:
• Bachelor’s degree or 3-4 year students
• Must have Python and SQL proficiency
• Experience with Big Data technologies preferred — Hadoop, Spark, H20.ai, Cloud AI platforms, containerization
• Experience with data visualization tools preferred — Power BI, Tableau, R Shiny, Plotly, etc.
• Experience with AB testing preferred

We offer:

• Competitive salary
• Professional development and career growth
• Ability to take part in digital transformation in a large company