Senior Data Science & Insights Engineer

Adobe Systems
Noida, Bengaluru
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 7+ yearsEducation: bachelorsSkills: ["Communication","Storytelling","Mentoring","Data-driven problem-solving","Analytical thinking"]

Translate customer and business questions into scalable analytics and AI solutions. You’ll lead decision science and applied machine learning initiatives using statistical modeling, experimentation (including A/B testing), segmentation, forecasting, and behavioral analytics to drive dependable business recommendations. Build AI agents and decision intelligence powered by LLMs and enterprise data, collaborating across Product, BI, Data Science, and engineering while mentoring junior engineers and shaping engineering best practices.

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FursaFursa
Adobe Systems
Adobe Systems
22 hours ago

Senior Data Science & Insights Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 5 hours agoStatus: Live

Job Summary

Translate customer and business questions into scalable analytics and AI solutions. You’ll lead decision science and applied machine learning initiatives using statistical modeling, experimentation (including A/B testing), segmentation, forecasting, and behavioral analytics to drive dependable business recommendations. Build AI agents and decision intelligence powered by LLMs and enterprise data, collaborating across Product, BI, Data Science, and engineering while mentoring junior engineers and shaping engineering best practices.
Location: Noida, Bengaluru
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Translate business questions into analysis plans by defining data requirements and roadmaps for open-ended problems.
  • •Guide decision science, AI, and advanced analytics solution development, validating methodologies to drive scalable business decisions.
  • •Apply statistical modeling, hypothesis testing, experimentation, segmentation, forecasting, and behavioral analytics to produce dependable insights and recommendations.
  • •Build AI agents and decision intelligence solutions using LLMs and enterprise data to improve business outcomes.
  • •Collaborate cross-functionally with Product Managers, BI teams, Data Scientists, and engineering teams; mentor junior engineers and contribute to architecture and engineering guidelines.

Key Requirements

  • •Bachelor’s or postgraduate degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, Economics, or a related field.
  • •7+ years of experience in Applied AI, Data Science, Decision Science, Product/Business/Customer Analytics, forecasting, or intelligent analytics platform development.
  • •Experience with exploratory data analysis, experimentation/A-B testing, hypothesis validation, cohort/funnel analysis, customer segmentation, forecasting, and customer lifecycle analytics.
  • •Strong programming and analytical skills using Python and SQL with modern data platforms for large-scale analysis.
  • •Experience working with structured and unstructured datasets (e.g., voice transcripts, chat conversations, customer interactions) and leveraging GenAI tools like Claude or Copilot.
Experience:7+ yearsApplied AIData ScienceDecision ScienceProduct AnalyticsCustomer AnalyticsForecastingCustomer lifecycle analytics
Education:Bachelor's in Computer Science, Data Science, Statistics, Mathematics, Engineering, Economics (or related)
Skills:CommunicationStorytellingMentoringData-driven problem-solvingAnalytical thinking
Tech Stack:PythonSQLLLMsClaudeCopilotA/B testingLLM

Company Brief

Adobe Systems
Provides creative, marketing, and document management software and cloud services, including Photoshop, Illustrator, Acrobat, and the Adobe Experience Cloud, serving creative professionals, enterprises, and governments worldwide.
Industry: SaaS
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Jose, United States
Founded: 1982
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