Data Scientist

Job Title: Data Scientist

Location: Bangalore (Onsite – Day 1 Reporting)

Budget: 13 – 16 LPA

Experience: 4 – 7 years total | 4+ years relevant in Data Science

Responsibilities

• Apply statistical analysis, machine learning, and predictive modeling to develop business-driven solutions.
• Build and optimize models for classification, regression, and causal inference.
• Work with supervised learning methods including XGBoost, Ridge, ElasticNet, and Neural Networks.
• Design and implement predictive analytics models for real-world use cases.
• Apply causal inference and optimization techniques to derive actionable insights.
• Collaborate with cross-functional teams (data engineers, business analysts, stakeholders) to integrate models into production systems.
• Perform model validation, performance evaluation, and tuning to ensure scalability and accuracy.
• Communicate findings and insights effectively to both technical and non-technical stakeholders.

Qualifications

• 4 – 7 years total experience in Data Science.
• 4+ years relevant experience in Data Science.

Required Skills

• Strong knowledge in Machine Learning & Predictive Analytics.
• Hands-on experience with models: XGBoost, Ridge Regression, ElasticNet, Neural Networks.
• Expertise in causal inference and optimization methodologies.
• Proficiency in Python/R for statistical modeling and data manipulation.
• Experience with SQL and working with large datasets.
• Solid understanding of statistical concepts, data visualization, and feature engineering.

Preferred Skills

• Exposure to cloud-based ML platforms (AWS, Azure, GCP).
• Knowledge of MLOps and deployment of models into production.
• Familiarity with Big Data tools (Spark, Hadoop).