Scientist II, Data Sciences

Key Skills

Amazon RedShift, Amazon Simple Storage Service (S3), Data science techniques, IT, Machine learning techniques, Python Programming, R Programming, Sales, SQL

Job Description

Thermo Fisher Scientific Inc. is the world leader in serving science, with revenues of $40 billion and approximately 125,000 employees globally. Our Mission is to enable our customers to make the world healthier, cleaner and safer. We help our customers accelerate life sciences research, solve complex analytical challenges, improve patient diagnostics, deliver medicines to market and increase laboratory efficiency.

Through our world-class brands – Thermo Scientific, Applied Biosystems, Invitrogen, Fisher Scientific and Unity Lab Services – we offer an unmatched combination of innovative technologies, purchasing convenience and comprehensive services.

Crucial Duties and Responsibilities:

• Analyze revenue/financial data; market research data to identify actionable trends.

• Develop machine learning models for specific use cases

• Develop reports & dashboards to optimally communicate the model findings with key partners

• Work with cross-functional teams like Sales, Finance and IT to understand data and analytics related requirements and define potential projects

• Ensure assigned results are completed end-to-end.

• Ability to conduct demos and trainings as the need arises.

• Ability to work with sometimes ambiguous requirements

• Ability to communicate optimally – both verbally as well as in writing.

Requirement:

• E. /B.Tech or B.Com or B.Sc (in Mathematics / Physics / Chemistry) degree
• 2-4 years of experience as a data scientist in e-commerce, media, analytics services companies
• Experience in Python/ R and SQL required
• Experience in Power BI tool is required
• Experience with Amazon S3, Redshift would be nice to have