Gallop Research - Deputy Manager - Decision Science/Advance Analytics - Life Sciences/Pharma Domain

Overview :

You will be leading/ managing a team of growing and dynamic advanced analytics professionals whose main goal would be to help clients- Marketing, Sales, and Operations leadership to achieve their business goals through advanced data analytics.

Roles and Responsibilities summary :

- Partner with the Clients : Advanced Analytics team to identify, scope, and execute advanced analytics efforts that answer business questions, solve business needs, and add business value. Examples include estimating marketing channel effectiveness or estimating sales force sizing.

- Maintain a broad understanding of pharmaceutical sales, marketing and operations and develop analytical solutions in these areas.

- Stay current with respect to statistical/mathematical/informatics modeling methodology, to maintain proficiency in applying new and varied methods, and to be competent in justifying methods selected.

- POC development or R package development for building internal capabilities and standardization of common modeling processes

- Lead & guide the team independently or with little support to implement & deliver complex project assignments.

- Provide strategic leadership to the team by building new capabilities within the group and identifying business opportunities

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

- Developing and delivering formal presentations to senior clients in both delivery and sales situations

Eligibility Criteria :

Required Experience :

- Minimum of 4-10 years of experience in data analytics

- Desired 2-4 years of relevant experience in Healthcare/ Lifesciences/ Pharmaceutical domain.

Technical Skills :

- Proficiency in statistical and other tools/ languages - R, SAS, Python.

- Experience in Statistical and Machine Learning techniques such as Regression (Linear/Logit/Gamma), Decision Trees, Text Mining and Natural Language Processing, Stochastic models, Bayesian Models, Markov Chains, Monte Carlo Simulations, Non-linear Time Series, Dynamic Programming and Optimization techniques, Design of Experiments, Neural Networks, Statistical Inference, Collaborative Filtering, Feature Engineering, etc.

Good to have Skills :

- Exposure or knowledge in cloud (AWS/ GCP/ Azure) or big data technologies such as Hadoop, Hive MapReduce etc.

Basic Qualifications :

B.Tech / Masters in a quantitative discipline (e.g. Applied Mathematics, Computer Science, Bioinformatics, Statistics; Ops Research, Econometrics)