Varahe Analytics - Data Scientist - Python/R

<p><p><b>About the job : </b><br/><br/>Number of open roles : 1<br/><br/>Location : Bengaluru<br/><br/><b>About the Company & Role : </b><br/><br/>We are one of Indias premier integrated political consulting firms specializing in building data driven 360-degree election campaigns.<br/><br/>We help our clients with strategic advice and implementation which brings together data-backed insights and in-depth ground intelligence into a holistic electoral campaign.<br/><br/>We are passionate about our democracy and the politics that shape the world around us.<br/><br/>We draw on some of the sharpest minds from distinguished institutions and diverse professional backgrounds to help us achieve our goal.<br/><br/>The team brings in 7 years of experience in building electoral strategies that spark conversations and help shape electoral and legislative ecosystems in our country.<br/><br/>As a part of the Analytics & Engineering Team , you will have a great chance to build tools and pipelines from early days by reinventing the concept of using data for the greater good.<br/><br/><b>What is the work : </b><br/><br/>- Analyze complex datasets to identify trends, patterns, and actionable insights.<br/><br/>- Develop, implement, and optimize machine learning models and statistical techniques.<br/><br/>- Build and maintain data pipelines and automated reporting systems.<br/><br/>- Translate business problems into analytical solutions and present findings to stakeholders.<br/><br/>- Conduct A/B testing and experiments to measure impact and guide decision-making.<br/><br/>- Collaborate with data engineers to ensure data quality, integrity, and availability.<br/><br/>- Communicate complex analytical concepts to non-technical stakeholders through dashboards, visualizations, and storytelling.<br/><br/><b>Key Skills : </b><br/><br/>- Bachelors or Masters degree in Computer Science, Statistics, Mathematics, Engineering, or any related Field.<br/><br/>- 2+ years of experience in a data science or analytical role.<br/><br/>- Strong programming skills in Python or R.<br/><br/>- Proficiency in SQL and experience working with large datasets.<br/><br/>- Hands-on experience with machine learning frameworks (e., scikit-learn, XG Boost, TensorFlow).<br/><br/>- Strong understanding of statistical analysis and hypothesis testing.<br/><br/>- Experience with data visualization tools (e., Tableau, Power BI, matplotlib, Seaborn).<br/><br/>- Familiarity with cloud platforms like AWS, GCP, or Azure is a plus.<br/><br/><b>Good to have : </b><br/><br/>- Knowledge of big data tools such as Spark, Hadoop, or Hive.<br/><br/>- Exposure to MLOps and model lifecycle management<br/></p><br/></p> (ref:hirist.tech)