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Role: Data Scientist
Location: Remote (India)
hift: UK Shift
Technical Skills:
· 8 to 10 years of experience with hands-on involvement in data science projects (experience in CPG/Retail, Digital Marketing, e-Commerce, or Revenue Management preferred & POS(point of sale is must)
· A bachelor's degree in a quantitative field (e.g., Engineering, Computer Science, Statistics, Economics, or Mathematics) - An advanced degree in a quantitative field is preferred
· Proficiency in SQL and one other programming language (e.g., R, Python, C++, Minitab, SAS, Matlab, VBA – knowledge of optimization engines such as Gurobi is a plus)
· Proficiency in any data visualization software (e.g., Power BI, Tableau, Qlik, D3, Shiny)
· Demonstrated experience in machine learning and mathematical optimization methods (e.g. multivariate regression, feature engineering, random forests, XGBoost, elastic nets, hierarchical bayesian regression, unsupervised learning, clustering/segmentation, linear optimization, mixed integer programming etc.)
· Specific experience in Bayesian regression, Hierarchical linear regression, clustering/segmentation, and unsupervised learning would be a preferred
Job ID: 107222477
Skills:
Hadoop, Pyspark, Hive, Databricks, Python, LangChain, GenAI, Google Gemini, data visualization tools, Azure AI Foundry, vector indexes, AI models and algorithms, R, LlamaIndex
Skills:
S3, Aws Services, Sql, Tensorflow, Lambda, Pytorch, Data Visualization, Python, Step Functions, Scikit-learn, R, ETL workflows
Skills:
cdisc standards , Advanced Analytics, Machine Learning, SAS, Python, Sql, R
Skills:
data engineering , Hadoop, Big Data, Sql, Nosql, Distributed Computing, Spark, Mathematics, Statistics, calculus, Optimization, Transformers, Knowledge Graphs, linear algebra
Skills:
Deep Learning, Tensorflow, Machine Learning, Scala, Pyspark, Spark, Keras, Python, scikit-learn, MLlib, GenAI techniques