Assistant Manager - Data Scientist

Kavi India; Chennai; Presencial; INR 2.500.000 - 4.500.000; Jornada completa

Descripción de la vacante

Kavi India is seeking an experienced Data Scientist to drive data-driven decision-making across the organization. You will build and deploy machine learning models, perform EDA, and collaborate with product, engineering, and business teams to define use cases and success metrics.

You will own end-to-end model lifecycle, develop data pipelines with data engineering, conduct A/B tests, and present insights to technical and non-technical stakeholders while staying current with the latest ML

Formación

• 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.
• Experience with SQL and 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).
• 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).

Responsabilidades

• 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
• Knowledge of big data tools (Spark, Hadoop)

Conocimientos

Python

R

SQL

Machine Learning

Statistics

Experiment Design

Data Visualization

Cloud Platforms

MLOps

Communication

Agile/Scrum

NLP/Computer Vision/Time-series

Big Data Tools

Educación

Bachelor's/Master's in CS/Stats/Data Science

Herramientas

Spark

Hadoop

Scikit-learn

XGBoost

TensorFlow

PyTorch

Tableau

Power BI

Matplotlib/Seaborn

Pandas

NumPy

Docker

Kubernetes

MLflow

Airflow

Descripción del empleo

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
• Knowledge of big data tools (Spark, Hadoop)

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)