Business Data Scientist, ML Engineering

Department Icon Data Science Analytics & Machine Learning
149+ Applicants
Posted: 1 year ago
5-7 years
Bengaluru, Karnataka, India
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Posted: 1 year ago
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Applicants: 149+
Job Description
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Job Description

Minimum qualifications:
  • 5 years of industry experience in a data scientist or machine learning engineer role.
  • Experience with machine learning frameworks such as Tensorflow, Scikit-Learn.
  • Experience in design, implementation, and delivery of scalable build/test/release agile software development cycle.
  • Experience with data processing and management with Relational Database Management System (RDBMS) such as Postgres, MySQL, and big data stacks such as Apache Spark.
Preferred qualifications:
  • Experience in Full-stack development for leveraging machine learning solutions.
  • Experience with cloud platforms such as Google Cloud Platform (GCP).
  • Familiarity with front end development (e.g., D3.js, React JS).
  • Excellent written and verbal communication skills to translate technical solutions and methodologies to executive leadership.
  • Solid programming skills in at least one of the general programming languages: Python, Java, Scala, C++.
About The Job
As a Quantitative Analyst, you will be responsible for analyzing large data sets and building expert systems that improve our understanding of the Web and improve the performance of our products. This effort includes performing complex statistical analysis on non-routine problems and working with engineers to embed models into production systems. You will manage fast changing business priorities and interface with product managers and engineers.

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As a Business Data Scientist specializing in Machine Learning Engineering, you will work on solving technical issues across multiple business areas (e.g., Ads, YouTube, Search, Play, etc.) through business generation. You will collaborate with data scientists, analysts, and PMs to create data solutions to enable our finance partners to make informed decisions, manage risks and opportunities.
Responsibilities
  • Work cross-functionally with data scientists, data engineers and program managers to understand, implement, and deploy machine learning pipelines.
  • Improve machine learning scalability, usability, and performance.
  • Explore the state-of-the-art technologies to deliver business benefits.
  • Communicate results to peers and leaders.
  • Advocate processes, standards, and engineering practice.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Googles EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .

Skills

Big DataPythonData ProcessingImplementationMachine LearningMysqlData ScientistAnalyst

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About Company

Google India Careers 2025

Google is a global technology leader best known for its search engine, cloud computing, advertising platforms, consumer hardware, and AI innovations. Founded in 1998 by Larry Page and Sergey Brin, and headquartered in Mountain View, California, Google entered the India market in 2004 and now operates major campuses in Bengaluru, Hyderabad, Gurugram, and Mumbai. In India, Google serves billions of users through products like Search, YouTube, Android, Google Cloud, and Google Pay, while also investing heavily in digital inclusion and AI‑driven innovation.

Business ModelGoogle operates as a multi‑segment technology company, generating revenue primarily from advertising (Google Ads, YouTube Ads), cloud services (Google Cloud Platform, Workspace), hardware sales (Pixel devices, Nest), and subscription products (YouTube Premium, Google One). In India, Google’s business model blends B2C scale with B2B enterprise solutions, enabling it to serve both individual users and large organisations. The company’s AI‑first strategy integrates machine learning and generative AI across all products, from Search to Workspace, to deliver personalised, efficient, and secure experiences.

Recent Wins & Recognition

  • In 2024, Google Cloud India deepened its strategic alliance with PwC India to deliver Generative AI solutions across industries, leveraging Vertex AI and Gemini models to transform enterprise operations. (https://www.pwc.in/press-releases/2024/google-cloud-pwc-india-enhance-strategic-alliance-transform-enterprise-solutions-generative-ai.html)
  • Google announced a ₹1,000 crore investment in India’s AI ecosystem under the IndiaAI Mission, focusing on AI research, skilling, and start‑up incubation. (https://blog.google/intl/en-in/company-news/outreach-initiatives/google-ai-india-2024-investment/)
  • YouTube India surpassed 600 million monthly active users, launching new AI‑powered creator tools to boost content quality and monetisation. (https://blog.youtube/press/)
  • Google was recognised among the Top 3 Best Workplaces in India 2024 by Great Place to Work® Institute, highlighting its inclusive culture and employee well‑being programs. (https://www.greatplacetowork.in/best-workplaces-in-india-2024/)

Culture & ValuesGoogle’s core values include focus on the user, innovation, integrity, and respect for the individual. The company fosters a collaborative, open, and inclusive work environment, encouraging employees to spend 20% of their time on passion projects. In India, Google actively supports digital literacy, women in tech, and sustainability initiatives, while offering flexible work models, world‑class learning resources, and global mobility opportunities.


Client‑Facing & Internal Domains – Google India

Search & Knowledge Products

What it is – Google’s core product family, including Google Search, Google Maps, Google News, and Google Lens. India‑based roles include:

  • Search Quality & Ranking – Algorithm tuning, spam detection, and relevance optimisation.
  • Geo & Maps Data – Mapping accuracy, local business integration, and navigation features.
  • Knowledge Graph & AI – Semantic search, entity linking, and generative AI integration.

YouTube & Content Platforms

What it is – Google’s video and creator ecosystem, including YouTube, YouTube Music, and YouTube Shorts. India‑based roles include:

  • Creator Partnerships – Onboarding and supporting content creators.
  • Content Policy & Moderation – Ensuring compliance with community guidelines.
  • Product Growth & Monetisation – Ad formats, subscriptions, and engagement tools.

Google Cloud Platform (GCP)

What it is – Enterprise cloud services for compute, storage, AI, and analytics. India‑based roles include:

  • Cloud Solutions Architecture – Designing enterprise cloud deployments.
  • Data & AI Engineering – Vertex AI, BigQuery, and ML pipelines.
  • Customer Engineering – Pre‑sales technical consulting and onboarding.

Ads & Commerce

What it is – Google’s advertising and commerce products, including Google Ads, AdSense, Google Shopping, and Merchant Center. India‑based roles include:

  • Campaign Optimisation – Performance marketing and bid strategy.
  • Product Management – Ad formats, targeting, and measurement tools.
  • Merchant Solutions – E‑commerce integrations and seller support.

Hardware & Devices

What it is – Consumer electronics like Pixel phones, Nest smart home devices, and Chromebooks. India‑based roles include:

  • Hardware Engineering – Device design, testing, and localisation.
  • Supply Chain & Ops – Vendor management and logistics.
  • Retail & Channel Partnerships – Distribution and sales enablement.


Internal Functions

What it is – Corporate and enabling teams that support Google’s global operations. India‑based roles include:

  • People Operations (HR) – Talent acquisition, L&D, and employee engagement.
  • Finance & Legal – Compliance, contracts, and budgeting.
  • IT & Security – Infrastructure, cybersecurity, and enterprise tools.


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Important dates & deadlines?

Application Deadline

08 Dec 24, 02:58 PM IST

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