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
