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Location- Bengaluru.
Experience- 5+Years
Role Overview
We are seeking a Data Scientist with foundational to intermediate experience in data science and machine learning. The ideal candidate demonstrates analytical rigour, domain awareness, and the ability to work with large-scale data environments under guidance of senior practitioners.
Key Requirements:
Domain Knowledge
· Working knowledge of a relevant business domain such as Banking and Financial Services, Retail, Healthcare, or Telco
· Ability to interpret data findings within a business context and contribute to data studies including profiling, quality assessment and exploratory analysis
· Familiarity with data governance concepts and structured analytical workflows
Classical Machine Learning
· Hands-on experience with core supervised and unsupervised learning techniques including regression, classification, clustering, and dimensionality reduction
· Proficiency in Python or R for model development, feature engineering and evaluation
· Working knowledge of libraries such as scikit-learn and statsmodels
· Understanding of model validation techniques, performance metrics, and basic statistical inference
Distributed Data Processing
· Practical exposure to Apache Spark using PySpark or SparkR
· Experience querying and processing large datasets in distributed environments such as Databricks, AWS EMR, or equivalent platforms
· Familiarity with SQL at scale including Spark SQL or Hive
Preferred Qualifications
· Bachelor's degree in Statistics, Computer Science, Mathematics, or a related quantitative discipline
· Exposure to version control (Git) and collaborative development practices
· Awareness of data lakehouse architectures and partitioned data strategies
Job ID: 147560813
Skills:
Sql, Numpy, Pandas, MLops, Docker, Kubernetes, Python, LangChain, Airflow, Generative AI, scikit-learn, MLflow, LangGraph, R, Agentic AI, Kubeflow, Transformer architectures
Skills:
Power Bi, Tableau, Sql, Tensorflow, Gcp, Rest Apis, Azure, Python, AWS, LangChain, Azure OpenAI Service, Scikit-learn, Semantic Kernel, R
Skills:
Machine Learning, Python, Sql, Deep Learning
Skills:
Machine Learning, Sql, Tensorflow, Numpy, Pytorch, Pandas, Spark, Python, Scikit-Learn, Gen AI, R, Data Analysis
Skills:
Data Science, Machine Learning, python, Pandas, Statistical Analysis, Data Visualization, ai solutions architecture, jupyter
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