Assistant Manager - Data Science

Job Summary

We are looking for a Data Scientist with 5+ years of experience in machine learning and data science. The candidate should have strong expertise in EDA, feature engineering, regression/classification models, Generative AI, Python, and cloud platforms such as GCP .

Key Responsibilities

• Perform EDA, data preprocessing, feature selection/reduction, and feature engineering.

• Develop, train, tune, and evaluate regression and classification models.

• Work on Generative AI projects and implement AI/ML solutions for business use cases.

• Develop data science solutions using Python and libraries such as Pandas, NumPy, and Scikit-learn.

• Work with GCP, BigQuery, and Vertex AI or equivalent cloud platforms.

• Create dashboards and visualizations using Qlik Sense, Looker Studio, Power BI, or Tableau.

• Collaborate with business and technical teams to translate business requirements into data-driven solutions.

  Required Skills

• 5+ years of experience in Data Science / Machine Learning

• Strong Python, Pandas, NumPy, Scikit-learn

• Strong experience in EDA, Feature Selection/Reduction, Regression & Classification

• Hands-on experience with Generative AI

• GCP (BigQuery, Vertex AI) or equivalent cloud

• Experience with Qlik Sense / Looker Studio / Power BI / Tableau

• Strong analytical, problem-solving, and communication skills

  Why Join Us?

• Opportunity to work on large-scale data science, machine learning, and AI initiatives that solve complex business problems.

• Exposure to modern machine learning, statistical modeling, predictive analytics, Generative AI, and cloud-based data platforms .

• Opportunity to build and deploy data-driven solutions and machine learning models that create measurable business impact.

• Collaborative environment with opportunities to work closely with data engineers, AI/ML engineers, product teams, business stakeholders, and technology teams .

• Culture that encourages innovation, experimentation, continuous learning, technical excellence, and ownership .