Assistant Manager – Data Scientist
We are looking for an experienced Data Scientist to join our team and drive data-driven decision-making across the organization. The ideal candidate will have a strong foundation in statistical analysis, machine learning, and business problem-solving, with proven experience translating data into actionable insights.
Key Responsibilities
● Design, build, and deploy machine learning models to solve business problems (classification, regression, clustering, recommendation systems, etc.)
● Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies in large datasets
● Collaborate with product, engineering, and business teams to define data science use cases and success metrics
● Develop and maintain data pipelines in partnership with data engineering teams
● Conduct A/B testing and statistical experiments to validate hypotheses and measure impact
● Communicate findings and recommendations to both technical and non-technical stakeholders through reports, dashboards, and presentations
● Own end-to-end model lifecycle:



from data collection and feature engineering to model deployment and monitoring
● Stay current with the latest research and best practices in data science and machine learning
● Mentor junior data scientists/analysts as needed

Required Skills & Qualifications
● Bachelor's/Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related field
● 8+ years of hands-on experience in data science, applied machine learning, or a similar analytical role
● Solid proficiency in Python (Pandas, NumPy, Scikit-learn) and/or R
● Solid understanding of statistics, probability, and experimental design
● Experience with SQL and working with relational/non-relational databases
● Hands-on experience with ML frameworks such as Scikit-learn, XGBoost, TensorFlow, or PyTorch
● Experience with data visualization tools (Tableau, Power BI, or Matplotlib/Seaborn)
● Familiarity with cloud platforms (AW

📌 Assistant Manager (India)
🏢 Kavi Software Technologies Private
📍 India