Senior Associate- Decision Science

Axtria; Gurugram District; On-site; INR 1,000,000 - 1,500,000; Full time

Job summary

A global analytics firm is seeking a skilled Data Scientist with over 3 years of hands-on experience in developing scalable Machine Learning models. The ideal candidate will have proficiency in Python and Spark, as well as strong analytical skills in statistical methods and NLP techniques. This role demands collaboration in large teams and competency in cloud platforms. The firm offers an opportunity to work in an innovative environment focused on delivering results while learning and growing professionally.

Qualifications

• 3+ years of experience in developing and operationalizing Machine Learning models.
• Proficiency in building, training, and evaluating machine learning models.
• Hands-on experience with Python data-science packages.

Responsibilities

• Develop machine learning models using Python/PySpark in an agile environment.
• Work with large datasets and apply statistical/probabilistic methods.
• Collaborate with teams using tools like GIT, Jira, and Confluence.

Skills

Machine Learning

Python

Statistical Methods

NLP Techniques

Spark

Task Management

Collaboration Tools

Cloud Platforms

Education

Bachelor of Engineering in Statistics

Tools

Python Libraries (NumPy, Pandas, Scikit-learn)

TensorFlow

Apache Hadoop/Spark

Dataiku

KNIME

Job description

Overview

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

• 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 teams 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

Bachelor of Engineering in Statistics

Work Experience

1. Real-world experience in implementing machine learning/statistical/econometric models/advanced algorithms
2. Breadth of machine learning domain knowledge
3. Experience in application of machine learning algorithms (classification, regression, deep learning, NLP, etc.)
4. Experience with a ML/data-centric programming language (such as Python, Scala, or R) and ML libraries (pandas, numpy, scikit-learn, etc.)
5. Experience with Apache Hadoop / Spark (or equivalent cloud-computing/map-reduce framework)

Behavioral 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