Data Science Engineer

Adobe Systems
Bengaluru
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 2-5 yearsEducation: mastersSkills: ["Analytical thinking","Problem-solving","Communication","Organizational skills","Time management"]

Build and maintain forecasting and analytics models that guide traffic and conversion planning. Work with Adobe Analytics/Customer Journey Analytics data and Databricks/SQL tables to improve Python-based statistical models, validate quarterly forecasts, and diagnose trends. Design and analyze A/B tests, create anomaly detection frameworks, and prototype LLM-based applications and agents for self-serve insights. Partner with Finance, Product, and GTM to translate analysis into actionable recommendations.

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FursaFursa
Adobe Systems
Adobe Systems
1 day ago

Data Science Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 22 hours agoStatus: Live

Job Summary

Build and maintain forecasting and analytics models that guide traffic and conversion planning. Work with Adobe Analytics/Customer Journey Analytics data and Databricks/SQL tables to improve Python-based statistical models, validate quarterly forecasts, and diagnose trends. Design and analyze A/B tests, create anomaly detection frameworks, and prototype LLM-based applications and agents for self-serve insights. Partner with Finance, Product, and GTM to translate analysis into actionable recommendations.
Location: Bengaluru
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Gather, clean, and analyze data from Adobe Analytics/CJA, Databricks/SQL tables, and other internal sources to support traffic and conversion forecasting.
  • •Build, maintain, and improve Python-based statistical forecasting models across channel, geography, and device dimensions.
  • •Support quarterly forecasting and target-setting by scoping enhancements and validating forecast accuracy against actuals and financial targets.
  • •Conduct performance deep-dives on traffic, conversion, and funnel metrics; translate findings into clear, actionable stakeholder narratives.
  • •Design, prototype, and ship LLM-based applications, chatbots, and AI agents/skills to enable natural-language querying, insights generation, and automated reporting.

Key Requirements

  • •Bachelor’s/Master’s degree in a quantitative field such as Computer Science, Statistics, Economics, Data Science, or Engineering.
  • •2–5 years of experience in data analysis, data science, or forecasting (web/digital/GTM experience is a plus).
  • •Production-level proficiency in Python (pandas, NumPy, and standard statistical/ML libraries) and SQL.
  • •Experience building LLM-based applications (e.g., chatbots, AI agents, RAG pipelines, prompt-engineered tools) with examples.
  • •Basic understanding of A/B testing/exploration design (hypothesis formulation, statistical significance, and read-out).
Experience:2-5 yearsWeb analyticsDigital marketingGTMForecasting
Education:Master's
Skills:Analytical thinkingProblem-solvingCommunicationOrganizational skillsTime management
Tech Stack:PythonPandasNumPySQLDatabricksAdobe AnalyticsCustomer Journey AnalyticsLLMGenAIRAGA/B testingExcelPowerPointTableauPower BIRegressionClustering

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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