Senior Data Scientist

3 days ago


Chennai Tamil Nadu India Kavi Software Technologies Full time ₹ 15,00,000 - ₹ 30,00,000 per year

Job Description: Senior Data Scientist Exp: 5 -8 yearsNotice period: Immediate – 15daysJob Location: Chennai Profile source: Tamil NaduTimings:1:00pm – 10:00pm (IST) Work Mode: WFO (Mon -Fri)We are seeking a strategic and innovative Senior Data Scientist to join our high -performing DataScience team. In this role, you will lead the design, development, and deployment of advancedanalytics and machine learning solutions that directly impact business outcomes. You will collaboratecross -functionally with product, engineering, and business teams to translate complex data intoactionable insights and data products.Key Responsibilities● Lead and execute end -to -end data science projects, encompassing problem definition, dataexploration, model creation, assessment, and deployment.● Develop and deploy predictive models, optimization techniques, and statistical analyses toaddress tangible business needs.● Articulate complex findings through clear and persuasive storytelling for both technical expertsand non -technical stakeholders.● Spearhead experimentation methodologies, such as A/B testing, to enhance product featuresand overall business outcomes.● Partner with data engineering teams to establish dependable and scalable data infrastructureand production -ready models.● Guide and mentor junior data scientists, while also fostering team best practices andcontributing to research endeavors.Required Qualifications & Skills:● Master's or PhD in Computer Science, Statistics, Mathematics, or a related discipline.● 5+ years of practical experience in data science, including deploying models to production.● Expertise in Python and SQL;● Solid background in ML frameworks such as scikit -learn, TensorFlow, PyTorch, and XGBoost.● Competence in data visualization tools like Tableau, Power BI, matplotlib, and Plotly.● Comprehensive knowledge of statistics, machine learning principles, and experimental design.● Experience with cloud platforms (AWS, GCP, or Azure) and Git for version control.● Exposure to MLOps tools and methodologies (e.g., MLflow, Kubeflow, Docker, CI/CD).● Familiarity with NLP, time series forecasting, or recommendation systems is a plus.● Knowledge of big data technologies (Spark, Hive, Presto) is desirable.


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