Assistant Manager - Data Science

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.

• 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.

• 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

• 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.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.