Data Scientist

Metropolis — Bengaluru, Karnataka, India

Who we are Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working and playing remarkable - giving us back our most valuable asset, time. Who you are We are looking for a highly motivated and analytical Data Scientist to join our growing data team. You will play a key role in extracting insights from large datasets, building predictive models, and supporting data-driven decision-making across departments. What you'll do Collect, process, and analyze large datasets from multiple sources Build and deploy machine learning models to solve business problems Design and implement A/B tests and statistical analyses Collaborate with cross-functional teams (product, engineering, marketing) to define analytics requirements Communicate complex data insights in a clear and actionable manner to stakeholders Develop dashboards and visualizations to monitor key metrics Stay current with the latest trends and technologies in data science and AI What we're looking for Bachelor’s and or Master’s degree in Computer Science, Mathematics, Statistics, or related field 4+ years of proven experience as a Data Scientist or Data Analyst Strong knowledge of Python and SQL Hands-on experience with machine learning frameworks (e.g., scikit learn, tensorflow, pytorch) Experience with big data tools (e.g., Spark, Hadoop) Familiarity with data visualization tools Strong analytical, problem-solving, and communication skills Experience leveraging AI tools to transform static workflows into responsive, high-output processes While not required, these are a plus:

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