Overview
Roles & responsibilities
Ø Primarily working / leading projects under manufacturing industry
Ø Connect and extract information from various databases containing structured and / or unstructured data
Ø Consolidate, clean, normalize and inventory large data often spread across many places including text files
Ø Establish data-driven insights into patterns, correlations and opportunities based on the data
Ø Select features, engineer, and optimize classifiers
Ø Developing prediction systems and machine learning algorithms
Ø Collaborate with Business and IT teams to deploy the algorithms at scale
Skills required
Ø Strong Python Skills & ML Tools: Proficiency in Python and popular libraries (e.g., Pandas, Scikit-learn, TensorFlow) for data processing and model development.
Ø Expertise in Exploratory Data Analysis (EDA): Ability to perform thorough data exploration, visualization, and feature engineering to uncover insights and patterns.
Ø Proficiency in Machine Learning: Strong experience in building, training, and deploying machine learning models for classification, regression, and clustering tasks.
Ø Knowledge in NLP: Basic knowledge of NLU/NLP tasks for data processing to conduct data summarization, text classification, NER, sentiment analysis and similar tasks.
Ø Knowledge of Generative AI Algorithms: Familiarity with generative models (e.g., GANs, VAEs) and their applications in data augmentation, synthesis, and creative tasks.
Ø Excellent Communication Skills – It is incredibly important to describe findings to a technical and non-technical audience
Ø Team player – It is mandatory to be a team player to successfully execute an end-to-end project
Ø Manufacturing industry experience – Having worked on couple of projects (i.e., product quality forecasting, Predictive maintenance, Inventory optimization etc.) in Manufacturing industry would be an asset
Job Type: Full-time
Pay: From ₹800,000.00 per year
Schedule:
- Day shift
- Monday to Friday
Application Question(s):
- How many years of experience do you have in Data Scientist?
- What is your current Salary?
Work Location: In person