Data Scientist - Metropolis

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Job Title

Data Scientist

Job Location

Bengaluru, Karnataka, India

Job Listing URL

https://job-boards.greenhouse.io/metropolis/jobs/6655083003

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

Metropolis is 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/Master’s degree in Computer Science, Mathematics, Statistics, or related field
2+ years of proven experience as a Data Scientist or Data Analyst
Strong knowledge of Python/R and SQL
Hands-on experience with machine learning frameworks (e.g., scikit learn, tensroflow, pytorch)
Experience with big data tools (e.g., Spark, Hadoop) is a plus
Familiarity with data visualization tools
Strong analytical, problem-solving, and communication skills

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)

Our Stack

Languages + Frameworks: TypeScript, React, Scala (principally), Java (limited)
Datastores: MySQL, PostgreSQL, Snowflake
Cloud: AWS
Version control: Git & GitHub
AI Tooling: Copilot on GitHub
Observability: Datadog

When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. #LI-SR1 #LI-Onsite

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 four 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.

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