Position Summary
Data Scientist with positive hands-on experience of 3+ years in developing state of the art and scalable Machine Learning models and their operationalization, leveraging off-the-shelf workbench production.
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
Valuable 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 workplace 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
Bachelor of Engineering in Statistics
Work Experience
- Real-world experience in implementing machine learning/statistical/econometric models/advanced algorithms
Breadth of machine learning domain knowledge
Experience in application of machine learning algorithms (classification, regression, deep learning, NLP, etc.)
Experience with a ML/data-centric programming language (such as Python, Scala, or R) and ML libraries (pandas, numpy, scikit-learn, etc.)
Experience with Apache Hadoop / Spark (or equivalent cloud-computing/map-reduce framework)
Behavioural Competencies
Teamwork & Leadership
Motivation to Learn and Grow
Ownership
Cultural Fit
Project Management
Communication
Technical Competencies
Python
R
SQL
EXCEL
MMx
Forecasting
Machine Learning
Pharma Commercial Know How
HEOR EPI and Economic Analysis
HEOR Simulation Analysis
Patient Data Analytics Know How
Dataiku
KNIME
Others
Skills
📌 Senior Associate Noida
🏢 Axtria
📍 Noida