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[Jobs Roundup] Latest Analytics & Data Science Jobs At Google India

[Jobs Roundup] Latest Analytics & Data Science Jobs At Google India

  • We have listed the latest analytics/data science jobs at Google India this week.

We have listed the latest analytics/data science jobs at Google India this week.

1| Data Scientist, Engineering

 Location: Bangalore

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 Responsibilities:

  • Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods. Conduct end-to-end analysis, including data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations.
  • Build and prototype analysis pipelines iteratively to provide insights at scale. Develop a comprehensive understanding of Google data structures and metrics, advocating for changes where needed.
  • Interact cross-functionally with a variety of people and teams. Work closely with engineers to identify opportunities, design, and assess improvements to Google products.

Apply here.

2| Customer Engineer, Data Analytics Specialist, Google Cloud

Location: Gurgaon

Responsibilities:

  • Support local sales teams in pursuit of key business opportunities, engaging customers to address aspects of the data process.
  • Identify business and technical requirements, conduct full technical discovery and architect customer solutions to meet gathered requirements.
  • Be responsible for leading technical projects, including such activities as technology advocacy, supporting bid responses, product and solution briefings, proof-of-concept work, and the coordination of technical resources.

Apply here.

3|  Data Scientist Technical Lead

Location: Bangalore

Responsibilities:

  • Work with large datasets and solve difficult analysis problems, applying advanced analytical methods. 
  • Build and prototype analysis pipelines iteratively to provide insights at scale. Develop a comprehensive understanding of Google data structures and metrics, advocating for changes for product development and sales activity.
  • Make business recommendations with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information.

Apply here.

4| Product Analyst, Engineering

Location: Bangalore/Hyderabad

Responsibilities:

  • Conduct data analysis to make business recommendations (cost-benefit, invest-divest, forecasting, impact analysis).
  • Deliver effective presentations of findings and recommendations to multiple levels of stakeholders, creating visual displays of quantitative information.
  • Develop and automate reports, iteratively build and prototype dashboards to provide insights at scale, solving for business priorities.

Apply here.

5| Developer Relations Engineer, Data Analytics

Location: Bangalore

Responsibilities:

  • Build idiomatic SDKs/client libraries, samples and other developer tools in Ruby, PHP and/or C# to improve the developer experience of using Google’s platforms and APIs.
  • Partner with product-aligned engineering teams to understand and improve the developer experience of our Google Cloud BigQuery and Pub/Sub client libraries.
  • Engage and manage the online open-source communities relating to Google Cloud platforms.

Apply here.

6| Data Engineer

Location: Bangalore

Responsibilities:

  • Design, build and deploy internal applications to support our technology life cycle, collaboration and spaces, service delivery management, data and business intelligence among others.
  • Work closely with analysts and business process owners to translate business requirements into technical solutions.
  • Build internal solutions, with custom front ends (web, mobile) and backend services that automate business processes.

Apply here.

7|  Research Scientist, Google Research

Location: Bangalore

Responsibilities:

  • Undertake cutting edge research in the above-mentioned areas.
  • Develop solutions for real-world, large-scale problems.

Apply here.

8| Technical Program Manager, Research

Location: Bangalore

Responsibilities:

  • Provide the operational foundation for the research team by taking ownership of project schedule, task planning, communications, external partnerships. and internal cross-functional collaboration.
  • Produce documents and other artefacts that communicate strategy, status, scope, timelines, task planning, action items, risks, issues, project dependencies, test planning, or rollout planning.
  • Manage complex schedules that involve both internal and external collaborators. Multi-task and prioritize activities for quick execution of critical path work items.

Apply here.

9| Developer Relations Engineer, Data Analytics & Verticals, Google Cloud

Location: Bangalore

Responsibilities:

  • Identify opportunities of adoption for Google Cloud technologies within specific verticals in the use case domain of data analytics and data science.
  • Create plans and initiatives (in collaboration with sales, marketing, and engineering leadership) that create momentum and drive the success of Google Cloud Platform through your knowledge of, and interactions with key third-party technical communities and key customers.
  • Consult on and advocate during customer adoption engagements to ensure optimal execution of the opportunity (e.g., strategy ideation, POC development, production implementation).

Apply here.

10| Analytical Lead, App Developer Sales

Location: Bangalore/Gurgaon

Responsibilities:

  • Develop a scalable data infrastructure to determine best practices across the Google ecosystem.
  • Partner with data science/machine learning teams across Google to build predictive models on inputs (e.g., creative, in-app-action feature, LTV model).
  • Grow Google client investment by improving performance across Google products.

Apply here.

11| Conversational AI Strategic Engineer, Professional Services, Google Cloud

Location: Bangalore

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Responsibilities:

  • Design engaging conversational interfaces for Contact Center AI (CCAI).
  • Lead virtual agent development engagements with strategic Google Cloud partners and customers, including stakeholder management, requirements gathering, and addressing deployment needs.
  • Collaborate with Program Management, Engineering, User Experience, and Product teams to identify product gaps and work with cross-functional teams to design solutions.

Apply here.

12| Cloud Data Architect, Google Cloud Professional Services

Location: Bangalore/Hyderabad/Gurgaon

Responsibilities:

  • Be a trusted technical advisor to customers and solve complex Big Data challenges.
  • Create and deliver data solutions, best practices recommendations, tutorials, blog articles, sample code, and technical presentations adapting to different levels of key business and technical stakeholders.
  • Travel regularly (up to 30%, although we also frequently use video conferencing) in-region for meetings, technical reviews, and onsite delivery activities.

Apply here.

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1| Senior Manager – Marketing Analytics at GUS India

Location: Hyderabad

Responsibilities:

  • Develop and process routine reports by extracting data from key systems.
  • Provide key analytical insights to the wider marketing team.
  • Perform ad-hoc analytics-driven special projects. Provide timely and effective campaign and tactic performance analysis and insight.

Apply here.

2| Machine Learning / AI Architect

Location: Bangalore

Responsibilities:

  • To design applications and solutions using Machine Learning and AI.
  • Responsibilities include architecture, total solution design from requirements analysis, design and engineering for data ingestion, pipeline, data preparation & orchestration, applying the right ML algorithms on the data stream and predictions.
  • Application of Machine Learning will be key at all layers of the stack.

Apply here.

3| Data Scientist- Senior/ Specialist/ Senior Specialist at Max Life Insurance

Location: Gurgaon

Responsibilities:

  • Laison and collaborate with different business stakeholders and back end engineering teams to develop AI-based solutions.
  • Build data-driven stories and present analysis output and solutions to all levels of the business.
  • Understand business processes, collect and integrate data from various data sources t be used for building the models. This could involve writing crawlers, connecting to databases for extracting data for training algorithms to create features supporting hypotheses.

Apply here.

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