Assistant Manager - Data Scientist

Kavi Software Technologies Private Limited; Chennai; Sur place; INR 1 500 000 - 3 500 000; Plein temps

Résumé du poste

Kavi Software Technologies Private Limited in Chennai is seeking an experienced Data Scientist to drive data-driven decision-making across the organization. The role requires strong foundations in statistics, machine learning, and translating data into actionable insights to solve complex business problems.

You will design, build, and deploy models, develop data pipelines, conduct experiments, and communicate findings to stakeholders.

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 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 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).

Responsabilités

• Design, build, and deploy machine learning models to solve business problems.
• Perform exploratory data analysis to identify trends and anomalies in large datasets.
• Collaborate with product, engineering, and business teams to define data science use cases and 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 to both technical and non-technical stakeholders via 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.

Connaissances

Python (Pandas NumPy Scikit-learn)

R

Statistics & experimental design

SQL

ML frameworks (Scikit-learn XGBoost TF

Data visualization (Tableau Power BI)

Cloud platforms (AWS GCP Azure)

MLOps (MLflow Airflow Docker K8s)

NLP CV Time-series forecasting

Agile Scrum

Formation

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

Outils

TensorFlow

PyTorch

XGBoost

Spark

Hadoop

Description du poste

Kavi Software Technologies Private Limited | Full time

We are looking for an experienced DataScientist to join our team and drive data-driven decision-making across theorganization. The ideal candidate will have a strong foundation in statisticalanalysis, machine learning, and business problem-solving, with provenexperience translating data into actionable insights.

Key Responsibilities

• Design, build, and deploy machine learningmodels to solve business problems (classification, regression, clustering,recommendation systems, etc.)
• Perform exploratory data analysis (EDA) toidentify trends, patterns, and anomalies in large datasets
• Collaborate with product, engineering, andbusiness teams to define data science use cases and success metrics
• Develop and maintain data pipelines inpartnership with data engineering teams
• Conduct A/B testing and statisticalexperiments to validate hypotheses and measure impact
• Communicate findings and recommendations toboth technical and non-technical stakeholders through reports, dashboards, andpresentations
• Own end-to-end model lifecycle: from datacollection and feature engineering to model deployment and monitoring
• Stay current with the latest research andbest practices in data science and machine learning
• Mentor junior data scientists/analysts asneeded

Required Skills & Qualifications

• Bachelor's/Master's degree in ComputerScience, Statistics, Mathematics, Data Science, or a related field
• 8+ years of hands-on experience in datascience, 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 withrelational/non-relational databases
• Hands-on experience with ML frameworks suchas 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 deploymentStrong problem-solving skills and ability towork with ambiguous business problems
• Excellent communication skills to presenttechnical findings to non-technical audiences
• Experience with MLOps tools (MLflow,Airflow, Docker, Kubernetes)
• Exposure to NLP, computer vision, ortime-series forecasting
• Experience working in Agile/Scrumenvironments
• Knowledge of big data tools (Spark, Hadoop)