Job Responsibilities

Job Responsibilities: -

Hands on experience in Python data-science and math packages such as NumPy, Pandas, Sklearn, Seaborn, PyCaret, Matplotlib
Proficiency in Python and common Machine Learning frameworks (TensorFlow, NLTK, Stanford NLP, PyTorch, Ling Pipe, Caffe, Keras, SparkML and OpenAI etc.)
Experience of working in large teams and using collaboration tools like GIT, Jira and Confluence
Good understanding of any of the cloud platform – AWS, Azure or GCP
Understanding of Commercial Pharma landscape and Patient Data / Analytics would be a huge plus
Should have an attitude of willingness to learn, accepting the challenging environment and confidence in delivering the results within timelines. Should be inclined towards self motivation and self-driven to find solutions for problems.
Should be able to mentor and guide mid to large sized teams under him/her

Education

BE/B.Tech

Work Experience

Qualification: -

B-Tech or BE in Computer Science / Computer Applications from Tier 1-2 college with 10+ years of proven experience in the field of Advanced Analytics or Machine Learning

OR

Master's degree in Machine Learning / Statistics / Econometrics, or related discipline from Tier 1-2 college with 8+ years of experience

Behavioural Competencies

Teamwork & Leadership

Motivation to Learn and Grow

Ownership

Cultural Fit

Talent Management

Technical Competencies

Problem Solving

Lifescience Knowledge

Communication

Project Management

Attention to P&L Impact

Business development

Capability Building / Thought Leadership

Scale of revenues managed / delivered

Scale of Resources Managed

Associate Director - Decision Science