Senior Data Scientist & Engineer

Globalization Partners
India
Workplace: RemoteFull timeFunction: Data Science & Machine LearningExperience: 5+ yearsSkills: ["Communication","Collaboration","Problem-solving","Critical thinking"]

Sits at the intersection of data science, data engineering, and product analytics to build pipelines, train models, and derive product-driven insights. You’ll own data infrastructure, analyze usage patterns, and ship AI/ML solutions that inform product decisions and GTM strategy, balancing experimentation with measurable impact across a 180+ country SaaS platform.

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FursaFursa
Globalization Partners
Globalization Partners
3 months ago

Senior Data Scientist & Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 4 hours agoStatus: Live

Job Summary

Sits at the intersection of data science, data engineering, and product analytics to build pipelines, train models, and derive product-driven insights. You’ll own data infrastructure, analyze usage patterns, and ship AI/ML solutions that inform product decisions and GTM strategy, balancing experimentation with measurable impact across a 180+ country SaaS platform.
Location: India
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Sr. Manager level

Key Responsibilities

  • •Build and own data infrastructure — pipelines, warehousing, ETL/ELT, data quality; make sure the foundation is solid
  • •Analyze product usage and user behavior — identify patterns, segment users, surface what matters from the noise; think like a product person, not just a data person
  • •Build models that ship — LLM-based systems, traditional ML (classification, clustering, NLP), evaluation frameworks
  • •Define and track the metrics that matter — activation, retention, engagement, PQLs; connect data to product and GTM decisions
  • •Run experiments and measure impact — A/B tests, causal analysis, cohort studies; rigorous but fast

Pay and Benefits

Perks:Health InsuranceDentalVisionParental LeaveSabbatical

Key Requirements

  • •5+ years across data science, data engineering, and analytics — you do all three, not just one
  • •Strong SQL and Python — complex queries, data modeling, scripting, analysis
  • •Databricks or equivalent modern data platform experience (Snowflake, BigQuery)
  • •LLM experience — fine-tuning, prompt engineering, embeddings, RAG, evaluation; not just API calls
  • •Traditional ML depth — classification, regression, clustering, NLP, feature engineering; you pick the right tool for the problem
Experience:5+ years
Skills:CommunicationCollaborationProblem-solvingCritical thinking
Languages:English
Tech Stack:SQLPythonDatabricksSnowflakeBigQueryLLMNLPClassificationRegressionClusteringFeature engineeringA/B testingETLData pipelines

Company Brief

Globalization Partners
Provides global Employer of Record (EOR) and international hiring services that enable companies to hire, onboard, and manage employees in 180+ countries without local entities, simplifying global expansion and compliance.
Industry: HR Tech
Company Size: Enterprise (1,001+ employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series E+
Headquarters: Boston, United States
Founded: 2012
WebsiteLinkedIn