Position Summary Data Scientist with good 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
• 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 setting 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

📌 Senior Associate (Noida)
🏢 Axtria - Ingenious Insights
📍 Noida