Job Title: Consultant | Data Scientist| Delhi | Operations, Industry & Domain Solutions
Must haves:
o Bachelor or advanced degree in computer science, IT, Electronics & Communication or engineering-related or data-intensive related fields such as applied mathematics, economics, physics or statistics.
o Professional experience as a Data Scientist/ML Engineer or related role in the private sector. Includes developing optimization algorithms or machine learning or deep learning models in production settings for 3 or more years.
o Professional experience of using either PyTorch, Tensorflow, or Keras.
o Strong proficiency in wrangling datasets through Pandas, Dask or other Python-based data science libraries.
o Strong fundamentals in solving analytical problems with various algorithmic solutions.
o Professional experience in end-to-end system design: data analysis, feature engineering, technique selection & implementation, debugging, and maintenance in production.
o Data Mining & Management / Predictive Analytics / Machine Learning / Optimisation / Business Rules Engines / Geospatial Analysis / Risk Scoring & Identification
o Solid experience in developing and deploying Machine Learning and Deep Learning models and techniques
o Knowledge of Generative AI models
o Knowledge of existing and upcoming platforms and vendors in the market with and leveraging them creatively into wider business solutions (good to have)
Good to have:
o Demonstrated experience in working on data science for social good problem statements
o Professional experience in working with the government directly or indirectly in policy-consulting or technology roles settings is a strong plus.
o Ability to create advanced analytical models that are fit for purpose and scalable, to identify insightful trends and patterns from the data
o Experience in structuring, presenting, and communicating your work results
o Experience with source control (git) and DevOps
o Generative AI and experience with MLFlow and other MLOps pipeline
o Ability to present complex business and technology problems and solutions in a simple form to address the level of audience from C-level, executive sponsors, and business owners to engineering and operational teams
o Strong appetite for innovation and emerging technologies
o Demonstrate ability to think strategically about business, create technical solutions with end users in mind, motivate and mobilize resources, as well as deliver results
o Flexibility in terms of working hours and working on multiple tools and technologies