Indegene - Data Scientist

Key responsibilities will include:

- Apply and advise on state-of-the-art advanced analytics and quantitative tools and modeling techniques in order to derive business insights and solve complex business problems

- Support, review and conduct complex analytics processes and data integration on clients- internal and external data

- Create value for clients and client service teams by understanding their needs and translating them into optimal desired analytical services

- Develop and disseminate innovative analytical techniques, processes, tools, etc.

- Problem solve with the client service/data science team to explore findings and insights from analysis

- Support knowledge development for the commercial analytics team and help develop a roadmap for a greater understanding of analytics and its impact in the consulting population

- Partner with data analysts/managers and client service team members to ensure timely and effective methods of the extraction, assembly and transfer of broad, complex sets of data

- Support business development activities by building new capabilities and participating in client meetings as a subject matter expert

- Provide thought leadership by contributing to whitepapers and articles at the BU and organization level

- Monitor industry trends and implement best practices to improve in-house capabilities

- Develop approach for complex analyses and gain consensus with stakeholders internally and externally

- Meaningfully communicate insights and information to a broad group of stakeholders through exceptional oral and written communication

Qualifications and Experience Required:

- Masters/MTech/PHD in Operations Research, Statistics, Applied Mathematics, Computer Science; MBA in Operations Management

- 5-8 years of relevant, technical experience in machine learning, predictive modeling, advanced analytics and statistics-related work.

- Proficiency in statistical data analysis and data mining packages such as SAS, R, SPSS, etc.

- Programming experience in Python, R and/or C/C++ is preferable

- Experience in the pharmaceutical / life sciences / healthcare industry is preferable

- Experience in areas of customer segmentation, ROI / impact analysis, Pathways analysis, channel and content preference modeling, text analytics is helpful

- Exceptional analytical skills with demonstrated experience in extracting valuable insights from complex data-sets

- Experienced in handling large datasets, both structured and unstructured, preferably in the life sciences / pharmaceutical domain

- Some experience in big data technologies like Hadoop, HIVE is preferable

Behavioral Skills Required:

- Very strong problem-solving skills, and quantitative/analytical thinking capabilities

- Consultative problem-solving approach, customer orientation, and strong collaboration skills

- Willing to work in a highly demanding and result-oriented team environment

- Excellent communication skills; able to grasp and communicate complex ideas clearly

- Ability to translate data and information into actionable insights and business recommendations

- Understanding of the market dynamics of the pharmaceutical industry