Data Scientist
Bengaluru, Karnataka, India
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll work on
Full postingBuild 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
From the employer’s posting
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
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
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
Education & alternatives
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
Tools in this posting
- Python
- SQL
- AWS
- MySQL
- S3
- SageMaker
- Snowflake
- Spark
- Tableau
- Airflow
- scikit-learn
- TensorFlow
- Hadoop
- PostgreSQL
- Power BI
- Looker
- PyTorch
Source — Tool mentions in context
- 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 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)
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
- 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 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.
- 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)
About Metropolis
Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world.
In the employer’s words · Read in context
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.
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.
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Source & posting history
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Bengaluru, Karnataka, India
- 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
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Apr 14, 2026
- Recorded sightings
- 153
- Last seen by us
- Oct 9, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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