Data Scientist – Bangalore
No. of Position: 4
Preferred to be in onshore, if not offshore India but candidate should be based out of Bangalore
Interview Process: Single round, Face -to -Face only
Experience: 5–6 years
Profile Expectation: Strong hands -on, hardcore development -oriented candidates
Required Skills:
Strong proficiency in Python (Pandas, NumPy, Scikit -learn)
Strong SQL skills for data extraction and analysis
Hands -on experience in Machine Learning (regression, classification, clustering)
Solid understanding of statistics and probability
Experience in data cleaning, feature engineering, and model evaluation
Knowledge of time series analysis and forecasting
Tools & Platforms:
Python libraries: Scikit -learn, TensorFlow / PyTorch (preferred)
Data visualization: Power BI, Tableau, Matplotlib, Seaborn
Big data exposure: Spark / PySpark (good to have)
Version control: Git / GitHub
Cloud exposure: AWS, Azure, or GCP
Data platforms: Snowflake / BigQuery / Redshift (preferred)
Understanding of ETL and data pipelines
Business & Domain Exposure:
Ability to convert business problems into data -driven solutions
Experience working with large, real -world datasets
Strong analytical, communication, and stakeholder management skills
Domain exposure to Banking, Insurance, Retail, or Telecom is a plus
Experience in risk modeling, customer analytics, or fraud detection is desirable
Awareness of data privacy and compliance standards (POPIA knowledge is an advantage)
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