Data Scientist
Metropolis · Bengaluru, Karnataka, India
Posted about 3 months ago · Previously reposted
or apply directly on Metropolis's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 80 days Metropolis's roles stay open a median of 80 days
- Reposted
- Yes taken down and listed again at least once
- Salary listed
- No 5% of Metropolis's roles list one
- Ghost-job risk at Metropolis
- high 79 stale, 1 reposted of 80 open
- Hiring momentum
- 123 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-22
Measured from postings appearing on and disappearing from Metropolis's own greenhouse board since 2026-08-03. Full hiring picture for Metropolis.
About this role
As a Data Scientist at Metropolis, you will extract insights from large datasets, build and deploy machine learning models, and support data-driven decision-making across various departments. Your role will involve collaborating with cross-functional teams to define analytics requirements, conducting A/B tests, and communicating complex data insights to stakeholders. Additionally, you will develop dashboards and visualizations to monitor key metrics and stay updated on trends in data science and AI.
- benefits
- 1/5
- freshness
- 1/5
- career value
- 4/5
- role clarity
- 4/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Metropolis as an employer.
What you need
- 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)
- Strong analytical, problem-solving, and communication skills
Nice to have
- 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)
What you get
- 3 Days in Office: Requires employees to be on-site at least three days a week to foster collaboration and creativity.
Worth weighing
- No salary listed
- The role requires in-office presence at least three days a week, which may not suit all candidates.
Summarised from Metropolis's posting. Read the full original.
Listed by Metropolis on their greenhouse job board, last confirmed open on 2026-10-22. PitchMeAI is not the employer.
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