Data Scientist

Data Scientist

- Minimum of 3 years of hands-on work experience in Data Science/Advance analytics using Python and SQL

- Practical experience specifically around quantitative and analytical skills is required

- People management skills and experience, and familiarity with the pharmaceutical industry are preferred.

- Knowledge of solution design, planning, and execution

Hands on experience in one or more of the skillsets below is desirable:

- Programming Language: R Programming, Base SAS, Advanced SAS

- Visualization Tool: Tableau, MS Excel, think-cell, Power BI, Qlik Sense

- Automation Tool: VBA Macro, Python scripts

Essential Duties and Responsibilities:

- Application of advanced statistical & predictive analytics and machine learning models to solve business problems

- Ability to communicate complex statistical concepts to non-experts

- Guide the team in using state-of-the-art data science technologies to improve efficiency and productivity

- Communicate and collaborate with other team members/team lead to prepare analysis plans on different engagements

- Plan and analyze different data sets and create management consulting reports

- Proficiency in Python to work with data files to create different kinds of charts, roll-up summaries, different aggregations and perform various analysis

- Analyze data for patterns or trends to determine factors that influence outcomes

- Working experience in Hive and HUE to store data and provide retrieval capabilities as needed, using queries and/or stored procedures is desirable

- Convert insights to visual graphics like charts, graphs, and tables

- Maintain extremely high standards of quality in all deliverables

- Perform both as an Individual Contributor and as a team coordinator

- Plan and allocate work to team members, monitor and track to closure

- Review and perform quality control of the team member's deliverables

- Develop, update, and implement standard operating procedures for data analysis to maintain quality