BMC Software

Senior Data Scientist

New York, NY, US$132,975-$221,625Posted 27 days ago

Job Description

### Basic Information

Job Name Sr Data Scientist - USA Country United States State NA Date Published 12-Aug-2026 Job ID 47415 Travel You may occasionally be required to travel for business This role can be based remotely in United States Looking for more details about our benefits? ### Description and Requirements

CareerArc Code CA-AJ Remote: #LI-Remote BMC empowers nearly 80% of the Forbes Global 100 to accelerate business value, faster than humanly possible. Our industry-leading portfolio unlocks human and machine potential to drive business growth, innovation, and sustainable success. BMC does this in a simple and optimized way by connecting people, systems, and data that power the world’s largest organizations so they can seize a competitive advantage. Senior Data Scientist

We are seeking a highly skilled Data Scientist with deep experience in B2B SaaS to lead the development of advanced analytics, predictive models, and AI-driven insights that improve business performance and customer outcomes. This role will partner closely with teams across Product, Sales, Marketing, Customer Success, and Data teams to solve high-impact business problems using data science. The ideal candidate brings a strong foundation in statistical modeling, machine learning, experimentation, and business analytics, combined with a practical understanding of key SaaS metrics such as ARR, NRR, churn, retention, expansion, pipeline conversion, customer health, and product adoption. This person must be able to move fluently between technical depth and business context, translating complex data into actionable recommendations that influence strategy and execution.

Key Responsibilities

* Develop and deploy predictive and prescriptive models to solve critical business problems across the B2B SaaS lifecycle. * Build data science solutions for use cases such as customer churn prediction, upsell propensity, lead scoring, pipeline forecasting,

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