Tiger Analytics is global analytics consulting firm. With data and technology at the core of our solutions, we are solving some of the toughest problems out there. Our culture is modelled around expertise and mutual respect with a team first mindset. Working at Tiger, you\xe2\x80\x99ll be at the heart of this AI revolution. You\xe2\x80\x99ll work with teams that push the boundaries of what-is-possible and build solutions that energize and inspire. We are headquartered in the Silicon Valley and have our delivery centres across the globe. The below role is for our Chennai, Bangalore & Hyderabad office.
Work on some of the latest applications of AI to solve complex business problems and demonstrate significant business value to one or more clients in the Pharma domain.
Lead project teams consisting of consultants, analysts, data scientists, ML engineers etc.
Closely engage with client stakeholders and onsite teams; participate in client workshops to identify high impact business problems that could be solved through AI based solutions.
Translate those business problems (sometimes ambiguous) into clear analytic problem statements.
Domain expertise in Pharma Industry or in Life Sciences / Us healthcare worked on Analytics consulting as a mandate.
Experience with cross therapeutically areas studies to meet Value Evidence and Real-world Evidence analytics needs.
Build machine learning and/or statistical models in Life sciences use cases such as predicting disease or treatment outcomes.
Develop thorough understanding of the Real-World Data (such as patient claims data, EMR, consumer data) and their use cases in pharmaceutical/health care research.
Minimum 6 years of relevant work experience in delivering advanced analyticas Truven, Optum, Symphony etc.
Experience in bio-statistical techniques such as \xe2\x80\x93 Survival analysis.
Minimum 6 years of relevant work experience in delivering advanced analytics.
Job Requirement
Experience level 6+ years.
Ability to discover patterns in data and deliver impactful insights in the context of client decision making
Knowledge of DS/ ML / AI techniques - when and why they are used and interpretation of results from a business viewpoint
In depth understanding of how analytics is used in decision making in one or more industries / functional areas
Ability to translate high level business problems to an analytics problem statement
Experience in scoping, development, validation & deployment of explanatory, predictive, and prescriptive analytic solutions
Experience in stakeholder management, driving project governance, and linking analytics to business value delivered
Hands-on experience in data handling using SQL and advanced analytics tools such as R and / or Python
Hands on experience in analysing and visualizing data using tools such as Tableau, PowerBI, Qlikview
Excellent presentation and communication skills
MBA from reputed institute preferred.
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