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Remote role · data-sci

Data Scientist

Metropolis

Hybird-BengaluruDataFull-time
Before you apply

Role details

The practical picture
Employment
Full-time

Work & location

Remote policy
Our corporate team members hold to our office-first model, which requires employees to be on-site at least three days a week
Office attendance
on-site at least three days a week

Experience & eligibility

Education
Bachelor’s and or Master’s degree in Computer Science, Mathematics, Statistics, or related field
Experience
4+ years of proven experience as a Data Scientist or Data Analyst
Skills
  • Python
  • SQL
  • Machine Learning
  • Data Analysis
  • Spark
  • Hadoop
  • A/B Testing

Inside the role

Employer overview
Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world.
Role signal brief

The role, at a glance

Extracted from the source posting · 95% confidence

Metropolis is hiring a Data Scientist for its Bengaluru office to build predictive models and analyze large datasets. The role requires 4+ years of experience in data science or analysis and proficiency in Python, SQL, and machine learning frameworks.

What you need

  • 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)
  • Strong analytical, problem-solving, and communication skills

What you will own

  • 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
Core skills
PythonSQLMachine LearningData AnalysisSparkHadoopA/B Testing

Remote policyOur corporate team members hold to our office-first model, which requires employees to be on-site at least three days a week

Internal freshness window ends Oct 15, 2026
View source evidence
  • category “Data Scientist”
  • department “Department: Data Engineering & Analytics”
  • employer_overview “Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world.”
  • education_requirements “Bachelor’s and or Master’s degree in Computer Science, Mathematics, Statistics, or related field”
  • experience_requirements_text “4+ years of proven experience as a Data Scientist or Data Analyst”
  • skills “Strong knowledge of Python and SQL”
  • attendance_requirement “requires employees to be on-site at least three days a week”
  • company_remote_policy “Our corporate team members hold to our office-first model, which requires employees to be on-site at least three days a week”
pythonsqlmachine learningdata analysis
Role brief

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.

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 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, and pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.

We are committed to providing a welcoming, accessible hiring experience. If you need a reasonable accommodation for any part of the application or interview process, please reach out to us at recruiting@metropolis.io.