Job Title
Data Scientist
Relevant Experience
(in Yrs) 10+ yrs.
Technical/Functional Skills
• Must have experience in building, testing, and deploying recommendation engines: collaborative filtering, hybrid approaches combining item/product similarity via Knowledge Graph, or similar methods.
• Must have experience in building AI/ML models: supervised (e.g., regression, classification), unsupervised (e.g., clustering, dimensionality reduction), reinforcement learning, deep learning, and NLP.
• Must have statistical/mathematical modelling expertise.
• Must have experience with ML Ops: deployment, automation, and streamlining of ML models.
• Must possess strong communication skills and domain knowledge in user behavior.
• Must have experience with Azure platform and tool stacks like Databricks, ADF, ADLS. Nice to have knowledge on Knowledge graph, Neo4j/property graph.
• Must have Generative AI experience
• Must have experience in Data Engineering
Roles & Responsibilities
• Data mining or extracting usable data from valuable data sources.
• Using machine learning deep leaning tools to select features, create and optimize classifiers.
• Carrying out the preprocessing of structured and unstructured data
• Enhancing data collection procedures to include all relevant information for developing analytic systems.
• Processing, cleansing, and validating the integrity of data to be used for analysis.
• Analyzing large amounts of information to find patterns and solutions.
• Developing prediction systems and machine learning algorithms
• Presenting results in a clear manner
• Propose solutions and strategies to tackle business challenges
• Collaborate with Business and IT teams.
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