Evnek - Senior Data Scientist - Python

Description :

Job Title : Senior Data Scientist

Experience : 5 - 7 years

Location : Remote (Bangalore candidates only)

Notice Period : Immediate Joiners only

Role Overview :

- We are looking for a strong, hands-on, development-oriented Data Scientist with solid experience in Python, Machine Learning, and statistical analysis. The ideal candidate should be capable of translating complex business problems into scalable, data-driven solutions and working with large, real-world datasets.

Key Responsibilities :

- Develop, validate, and deploy machine learning models for real-world business use cases

- Perform data extraction, transformation, and analysis using SQL and Python

- Apply statistical methods and machine learning techniques such as regression, classification, clustering, and time-series forecasting

- Conduct data cleaning, feature engineering, model evaluation, and performance tuning

- Build and maintain end-to-end data pipelines and ETL workflows

- Visualize insights and model outcomes using dashboards and reports

- Collaborate with business stakeholders to understand requirements and deliver actionable insights

- Ensure compliance with data privacy and governance standards

Required Skills & Qualifications :

- Strong proficiency in Python (Pandas, NumPy, Scikit-learn)

- Excellent SQL skills for data extraction and analysis

- Hands-on experience with Machine Learning algorithms (regression, classification, clustering)

- Solid understanding of statistics and probability concepts

- Experience with time series analysis and forecasting

- Strong experience in data cleaning, feature engineering, and model evaluation

- Proven ability to work on large, complex datasets

Tools & Technologies :

- ML Libraries : Scikit-learn; TensorFlow / PyTorch (preferred)

- Data Visualization : Power BI, Tableau, Matplotlib, Seaborn

- Big Data (Good to have) : Spark / PySpark

- Version Control : Git / GitHub

- Cloud Platforms : AWS, Azure, or GCP

- Data Platforms : Snowflake, BigQuery, Redshift (preferred)

- Understanding of ETL frameworks and data pipelines

Business & Domain Exposure :

- Strong ability to translate business problems into analytical solutions

- Experience working closely with stakeholders and cross-functional teams

- 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 added advantage)