Lead Data Scientist - IT

Responsibilities:

- You would be required to Identify, develop and implement the appropriate statistical techniques, algorithms and Deep learning / ML Models to create new, scalable solutions that address business challenges across industry domains.

- Define, develop, maintain and evolve data models, tools and capabilities.

- Communicate your findings to the appropriate teams through visualizations

- Collaborate and communicate findings to diverse stakeholders

- Provide solutions for but not limited to: Object detection/Image recognition, natural language processing, Sentiment Analysis, Topic Modeling, Concept Extraction, Recommender Systems, Text Classification, Clustering , Customer Segmentation & Targeting, Propensity Modeling, Churn Modeling, Lifetime Value Estimation, Forecasting, Modeling Response to Incentives, Marketing Mix Optimization, Price Optimization.

- Ability to build, train and lead a team of data scientists.

- Follow/maintain an agile methodology for delivering on project milestones.

- Excellent oral, presentation, and written communication skills.

- Experience applying statistical ideas and methods to data sets to answer business problems.

- Mine and analyze data to drive optimization and improvement of product development, marketing techniques and business strategies.

- Working on ML Model Containerisation.

- Creating ML Model Inference Pipelines.

- Testing and Monitoring ML Models.

Tech Stack :

- Strong Python programming Knowledge- Data Science and Advanced Concepts like Abstract Class, Function Overloading + Overriding, Inheritance, Modular Programming and Reusability

- Cloud Experience in using Azure services, REST API using Flask or fastapi frameworks

- Good to have - Pyspark: Spark Dataframe Operations, SQL functions API, Parallel

Execution :

- Good to have - Unit testing using Python pytest or Unittest

Preferred Qualifications :

- Bachelors/ Masters/ PhD degree in Math, Computer Science, Information Systems, Machine Learning, Statistics, Applied Mathematics or related technical degree.

- 6 plus years total experience with minimum of 3 years of experience in a related position, as a senior data scientist building Predictive analytics, Computer Vision, and NLP solutions for various types of business problems.

- Advanced knowledge of statistical techniques, machine learning algorithms and deep learning frameworks like Tensorflow, Keras, Pytorch

- Programming background and expertise in building models using at least one of the following languages: Python, R

- Strong individual planning and project management skills, able to juggle multiple tasks and priorities.

- Self-motivated and driven to deliver agreed results on-time

- Ability to convert analytical output into clear, concise, and persuasive insights & recommendations for technical & non-technical audience

- Strong influence and relationship management skills.

Key traits :

- Should have excellent communication skills.

- Should be self motivated and willing to work as part of a team.

- Should be able to collaborate and coordinate with onshore and offshore teams.

- Be a problem solver and be proactive to solve the challenges that come his way.