Job Objective: To work with the team of data scientists managing multiple projects. Guide the team in formulation, model development and implementation by liaising with business stakeholders to explain the model outcomes.
Experience: 6 to 9 Years

Required Skills:

• Deep understanding of Statistics and experience with Machine Learning algorithms/Techniques.
• Proven Programming skills in Particular R/SQL and Python, Strong experience with DL frame works such as TensorFlow, Theano and Others.
• Scientific Expertise and real-world experience in Deep learning (Convolutional neutral networks, restricted Boltzmann Machines and Deep neutral networks.
• Passion for solving challenging analytical problems.
• Ability to quickly, quantitively, and qualitatively assess a problem.
• Ability to work productively with team members, identify and resolve tough issues in a collaborative manner.
• Experience in applying Machine learning techniques to real world problems in a production environment.

Roles and Responsibilities:

• Design, develop and deliver AI/Machine learning enabled solutions for our industry specific data analytics platform.
• Build scalable, available and support process to collect, Manipulate, present, and analyse large datasets in a production environment.
• Articulate Problem definition and work on all aspects of data including acquisition, exploration/Visualization, Feature engineering with ML algorithms and deploying models.
• Develop working prototypes of algorithms, evaluate, and compare metrics based on the real-world data sets.
• Provide design input specifications, requirements, and guidance to software engineers for algorithms implementation for Solution/Product development.

Qualifications:

• Minimum 6 years of profession Life Science/Pharma experience is required
• Degree in Applied Maths, Statistics or Machine learning techniques or Computer Science. Ph.D. /MS is preferred.