Data Scientist

Metropolis; Bengaluru; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

Metropolis in Bengaluru is seeking a data-driven Data Scientist to join our growing data team. You will extract insights from large datasets, build predictive models, and support data-driven decision-making across product, engineering, and marketing.

You should have strong Python and SQL skills, hands-on experience with ML frameworks (scikit-learn, TensorFlow, PyTorch), and familiarity with Spark or Hadoop.

Qualifications

• Bachelor’s 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.

Responsibilities

• 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 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

Skills

Analytical thinking

Problem solving

Communication skills

Python

Education

Bachelor's or Master's in CS/Math/Stats

Tools

Python

SQL

Spark

Hadoop

Job description

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:

• Experience with cloud platforms preferably AWS (S3, SageMaker, Airflow etc)
• Strong SQL skills, with experience in Snowflake, MySQL, and PostgreSQL
• Familiarity with data visualization tools (e.g., Tableau, Power BI, Looker)

3 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least three days a week, fostering organic interactions that spark creativity and connection.

Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate’s application relative to the required job qualifications and responsibilities listed in the job posting.

As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records.

Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.