Assistant Manager - Data Scientist

Kavi Software Technologies; Chennai; On-site; INR 900,000 - 1,500,000; Full time

Job summary

Kavi Software Technologies is seeking an experienced Assistant Manager Data Scientist to orchestrate data-driven decisions across the organization. You will design and deploy ML models, perform EDAs, and collaborate with product, engineering, and business teams to define impactful use cases.

You will lead end-to-end model lifecycle and mentor junior analysts while staying aligned with state-of-the-art DS practices.

Qualifications

• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related field.
• 8+ years hands-on experience in data science, ML, or similar analytical role.
• Strong proficiency in Python and/or R.
• Solid understanding of statistics, probability, and experimental design.
• Experience with SQL and relational/non-relational databases.
• Hands-on experience with ML frameworks (Scikit-learn, XGBoost, TensorFlow, PyTorch).
• Experience with data visualization tools (Tableau, Power BI, Matplotlib/Seaborn).
• Familiarity with cloud platforms (AWS, GCP, or Azure) for model deployment.
• Strong problem-solving and ability to work with ambiguous business problems.
• Excellent communication to present technical findings to non-technical audiences.
• Experience with MLOps tools (MLflow, Airflow, Docker, Kubernetes).
• Exposure to NLP, computer vision, or time-series forecasting.
• Experience in Agile/Scrum environments.
• Knowledge of big data tools (Spark, Hadoop).

Responsibilities

• Design, build, and deploy ML models to solve business problems.
• Perform exploratory data analysis to identify trends and anomalies.
• Collaborate with product, engineering, and business teams to define use cases and success metrics.
• Develop and maintain data pipelines with data engineering teams.
• Conduct A/B testing and statistical experiments to validate hypotheses.
• Communicate findings to stakeholders through reports and dashboards.
• Own end-to-end model lifecycle from data collection to deployment and monitoring.
• Stay current with research and best practices in data science and ML.
• Mentor junior data scientists/analysts as needed.

Education

Bachelor's/Master's in CS/Statistics/Math/Data Science

Tools

Pandas

NumPy

Scikit-learn

R

SQL

Tableau

Power BI

Matplotlib

Seaborn

XGBoost

TensorFlow

PyTorch

MLflow

Airflow

Docker

Kubernetes

Spark

Hadoop

AWS

GCP

Azure

SAS

Job description

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
• Strong 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 (AWS, GCP, or Azure) for model deployment
• Strong problem-solving skills and ability to work with ambiguous business problems
• Excellent communication skills to present technical findings to non-technical audiences
• Experience with MLOps tools (MLflow, Airflow, Docker, Kubernetes)
• Exposure to NLP, computer vision, or time-series forecasting
• Experience working in Agile/Scrum environments
• Knowledge of big data tools (Spark, Hadoop)