Senior AI ML Scientist (B2B SaaS Growth)

BMC
Pune
Workplace: HybridFull time2,549,100 - 4,248,500Function: Research & Scientific (R&D)Experience: 8+ yearsEducation: mastersSkills: ["Data storytelling","Cross-functional partnership","Communication","Business judgment","Influencing stakeholders"]

Lead the development of advanced analytics, predictive, and AI-driven models that improve B2B SaaS growth, retention, and customer outcomes. Build and deploy churn and upsell models, lead scoring, pipeline forecasting, segmentation, and customer health scoring, while designing and analyzing A/B and quasi-experiments. Partner with Product, Sales, Marketing, Customer Success, and data teams to translate business questions into scalable, production-ready data science workflows.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
BMC
BMC
3 days ago

Senior AI ML Scientist (B2B SaaS Growth)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 12 hours agoStatus: Live

Job Summary

Lead the development of advanced analytics, predictive, and AI-driven models that improve B2B SaaS growth, retention, and customer outcomes. Build and deploy churn and upsell models, lead scoring, pipeline forecasting, segmentation, and customer health scoring, while designing and analyzing A/B and quasi-experiments. Partner with Product, Sales, Marketing, Customer Success, and data teams to translate business questions into scalable, production-ready data science workflows.
Location: Pune
Workplace: Hybrid
Employment Type: Full time
Job Function: Research & Scientific (R&D)
Seniority: Mid level

Key Responsibilities

  • •Develop and deploy predictive and prescriptive models across the B2B SaaS lifecycle to solve business problems.
  • •Build solutions for churn prediction, upsell propensity, lead scoring, pipeline forecasting, product adoption, segmentation, pricing optimization, and customer health scoring.
  • •Design and analyze experiments, A/B tests, and quasi-experimental studies to measure impact of product, marketing, and sales initiatives.
  • •Apply statistical methods and machine learning to large datasets from CRM, product telemetry, marketing, support, finance, and customer systems.
  • •Collaborate with data and analytics teams to ensure scalable data pipelines and production-ready modeling workflows, including monitoring and improving model performance.
Travel: Low travel

Pay and Benefits

Salary: 2,549,100 - 4,248,500

Key Requirements

  • •8+ years of data science and machine learning experience in B2B SaaS environments.
  • •Strong expertise in machine learning, statistical modeling, forecasting, experimentation, and causal analysis.
  • •Strong proficiency in Python and advanced SQL.
  • •Deep understanding of B2B SaaS business models and metrics such as ARR, MRR, churn, retention, expansion, NRR, CAC, LTV, and conversion.
  • •Hands-on experience with LLMs and modern AI frameworks (e.g., OpenAI APIs, LangChain, LlamaIndex, Hugging Face) and familiarity with RAG and responsible AI practices.
Experience:8+ yearsB2B SaaSGrowthCustomer analyticsRevenue analytics
Education:Master's in Data Science, Statistics, Computer Science, Mathematics (or related quantitative field)
Skills:Data storytellingCross-functional partnershipCommunicationBusiness judgmentInfluencing stakeholders
Tech Stack:PythonSQLOpenAI APIsLangChainLlamaIndexHugging FaceRAGPrompt engineeringSnowflakeDatabricksBigQueryTableauPower BILookerA/B testingLLMsQuasi-experimental studies

Company Brief

BMC
Provides IT service management, automation, and operations software to help enterprises manage digital services, cloud infrastructure, and mainframe environments with monitoring, service desk, and AIOps solutions.
Industry: Enterprise Software
Company Size: Enterprise (1,001+ employees)
Growth: Established Company
Funding: Private Equity Backed
Headquarters: Houston, United States
Founded: 1980
WebsiteLinkedIn