Brief introduction:

If you are keen to work on analytical problem solving, then work in advance data analytics/sciences
to provide consulting to pharmaceutical clients.

Responsibilities:

• Help build an automatic forecasting tool using AI/ML, deep learning, algorithms which caters
  to a wide variety of datasets (and suggest an expert selected forecast based on data quality
  and other forecasting needs)
• Process automation using SQL/Python/Other available technologies/ETL Tools
• Estimation of economic transformations of time varying covariates.
• Experience with designing statistical experiments (DoE).
• Responsible for modelling forecasting problems, discovering insights, and identifying
  opportunities using statistical, machine learning, algorithmic, data mining.
• Applying statistical techniques such as linear regression, logistic regression, analysis of
  variance, cluster analysis, time series, principal components, factor analysis, ARIMA to
  solve business problems
• Come up with Hybrid statistical models to suit various analytical needs
• Hands on work experience with statistical machine learning and deep learning (e.g., CNN,
  RNN, LSTM)
• Exploring and visualizing data to gain an understanding of it, then identifying
  differences in data distribution that could affect performance when deploying the
  model in the real world
• Verifying data quality, and/or ensuring it via data cleaning
• Supervising the data acquisition process if more data is needed
• Defining validation strategies
• Defining the pre-processing or feature engineering to be done on a given dataset
• Defining data augmentation pipelines
• Training models and tuning their hyperparameters
• Interpreting and analysing both qualitative and quantitative data points; hypothesis building
  with Strong excel and PPT skills
• Process automation using SQL/Python/Other available technologies/ETL Tools

Qualifications:

• B.Sc or M.Sc in Mathematics, Statistics, Computer science/ Data Science.
• Phd in Statistics
• Minimum 4 years of pharma / life science consulting job experience
• High motivation, good work ethic, maturity, and personal initiative
• Strong oral and written communication skills
• Strong excel and PowerPoint skills.
• Adherence to client specific data privacy and compliance policies
• Knowledge on various commonly used transactional data assets and others including
  Volumes/ Value, Rx, Specialty level, Longitudinal Patient level data assets

Other competencies:

• Entrepreneurial orientation.
• Excellent interpersonal and communication skills (written and verbal).
• Innovative and collaborative behavior, team player.
• Customer centricity and paying attention to details.