Manager - Decision Science

Axtria - Ingenious Insights; Gurugram District; Hybrid; INR 1,200,000 - 1,800,000; Full time

Job summary

Axtria - Ingenious Insights invites a Data Scientist with 5+ years of hands-on ML model development and operationalization. You will work in Python/PySpark, exploring Databricks or Dataiku environments and apply NLP techniques, ML frameworks, and large-team collaboration tools.

The role requires experience with Spark, ML libraries, and cloud platforms (AWS/Azure/GCP). Real-world pharma data analytics exposure is a plus. BE/B.Tech is preferred.

Qualifications

• Real-world experience in implementing machine learning/statistical/econometric models and advanced algorithms.
• Breadth of machine learning domain knowledge.
• Experience with ML algorithms (classification, regression, deep learning, NLP).
• Experience with an ML/data-centric language (Python, Scala, or R) and ML libraries (pandas, numpy, scikit-learn).
• Experience with Hadoop/Spark or equivalent cloud computing framework.

Responsibilities

• Develop, train and deploy scalable ML models in Python/PySpark.
• Work on Spark with Scala/Python/Java; leverage Databricks or Dataiku DSS as a plus.
• Build and evaluate state-of-the-art ML models and drive deployment.
• Apply statistical methods and NLP techniques (classification, NER, topic modeling, sentiment).
• Familiarity with LLMs, transformers and recommender systems; reinforcement learning.
• Collaborate in large teams; use Git, Jira and Confluence for collaboration.
• Work with cloud platforms such as AWS/Azure/GCP and data-centric Python tools.

Skills

Teamwork

Leadership

Growth Mindset

Ownership

Communication

Problem Solving

Project Management

Lifescience Knowledge

Business Development

P&L Awareness

Thought Leadership

Capability Building

Education

BE/B.Tech

Tools

Python

PySpark

Databricks

Dataiku DSS

Spark

TensorFlow

PyCaret

NumPy

Pandas

scikit-learn

Matplotlib

Seaborn

NLTK

OpenAI

Git

Jira

Confluence

AWS/Azure/GCP

Job description

Job Description:

Position Summary

Data Scientist with good hands-on experience of 5+ years in developing state of the art and scalable Machine Learning models and their operationalization, leveraging off-the-shelf workbench production.

Job Responsibilities

• Experience of model development using Python/PySpark libraries. Development on Databricks or Dataiku DSS (Data Science Studio) environment would be a plus
• Strong experience on Spark with Scala/Python/Java
• Strong proficiency in building/training/evaluating state of the art machine learning models and its deployment
• Proficiency in Statistical and Probabilistic methods such as SVM, Decision-Trees, Bagging and Boosting Techniques, Clustering.
• Proficiency in Core NLP techniques like Text Classification, Named Entity Recognition (NER), Topic Modeling, Sentiment Analysis, etc. Understanding of and experience with LLMs, LSTMs, GRUs, transformers. Familiarity with recommender systems, reinforcement learning.
• 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.
• Logical Thinking – Able to think analytically, use a systematic and logical approach to analyze data, problems, and situations. Be able to notice and call out discrepancies and inconsistencies in information and materials.

Task Management – Should have experience in task management and be able to plan self and team’s tasks. Should be able to proactively coarse-correct, basis the current priorities along with their tracking and progress report

Communication – Able to convey ideas and information clearly and accurately across forums/team in written or verbal

Education

BE/B.Tech

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
• 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

Requirements: