Senior AI ML Scientist (B2B SaaS Growth)

CareerArc Code

CA-JF

Hybrid: #LI-Hybrid

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.

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.

Here is how, through this exciting role, YOU will contribute to BMC's and your own success:

• 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, product adoption, customer segmentation, pricing optimization, and customer health scoring.
• Partner with Sales, Operations, Marketing, and Customer Success teams to identify opportunities where data science can improve growth, retention, and operational efficiency.
• Design and analyze experiments, A/B tests, and quasi-experimental studies to measure the impact of product, marketing, and sales initiatives.
• Apply statistical methods and machine learning techniques to large, complex datasets from CRM, product telemetry, marketing, support, finance, and customer systems.
• Translate business questions into structured analytical approaches and communicate findings clearly to executive and cross-functional stakeholders.
• Collaborate with data engineers, analytics engineers, BI teams, and architects to ensure scalable data pipelines and production-ready modeling workflows.
• Monitor model performance, validate assumptions, and continuously improve model accuracy, explainability, and business relevance.
• Support the development of self-service insights, reusable data science assets, and scalable frameworks for decision-making.
• Document methodologies, assumptions, and business impact in a clear and reproducible manner.

To ensure you’re set up for success, you will bring the following skillset & experience:

• Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Mathematics or a related quantitative field.
• 8+ years of experience in data science & machine learning, with significant experience in B2B SaaS environments.
• Strong expertise in machine learning, statistical modeling, forecasting, experimentation, and causal analysis.
• Strong proficiency in Python and advanced SQL skills.
• Experience working with large-scale business, sales, and product datasets, including CRM, telemetry, subscription, and customer data.
• Deep understanding of B2B SaaS business models and core metrics such as ARR, MRR, churn, retention, expansion, NRR, CAC, LTV, conversion, and product usage/adoption.
• Hands-on experience with large language models (LLMs) and modern AI frameworks such as OpenAI APIs, LangChain, LlamaIndex, Hugging Face, or similar tools.
• Familiarity with RAG, prompt engineering, model evaluation, guardrails, and responsible AI practices for enterprise-ready AI solutions.
• Experience with cloud data platforms such as Snowflake, Databricks, or BigQuery
• Experience in subscription analytics, revenue analytics, product-led growth, or customer lifecycle modeling.
• Experience building models that support GTM, Product, or Customer Success decision-making.
• Strong ability to communicate technical findings to non-technical audiences and influence business decisions.
• Experience working cross-functionally in fast-paced, matrixed environments.
• Familiarity with GenAI or AI-enabled analytical workflows is a plus.
• Familiarity with BI and visualization tools such as Tableau, Power BI, or Looker

Core Skills:

• Machine Learning
• Statistical Modeling
• Forecasting
• Experimentation and A/B Testing
• Customer Churn and Retention Analytics
• Product Adoption Analytics
• Revenue and Growth Analytics
• Segmentation and Propensity Modeling
• Python
• SQL
• Applied AI / Generative AI
• Large Language Models (LLMs) / Retrieval-Augmented Generation (RAG)
• Data Storytelling
• Cross-Functional Business Partnership

What Success Looks Like:

Success in this role means delivering data science solutions that create measurable business impact. This includes improving customer retention, accelerating growth, increasing forecast accuracy, identifying high-value opportunities, and enabling smarter decisions across the B2B SaaS customer lifecycle. The successful candidate will combine strong technical rigor with business judgment and will help embed data science into everyday decision-making across the organization.

Our commitment to you!

BMC’s culture is built around its people. We have 6000+ brilliant minds working together across the globe. You won’t be known just by your employee number, but for your true authentic self. BMC lets you be YOU!

If after reading the above, You’re unsure if you meet the qualifications of this role but are deeply excited about BMC and this team, we still encourage you to apply! We want to attract talents from diverse backgrounds and experience to ensure we face the world together with the best ideas!

BMC is committed to equal opportunity employment regardless of race, age, sex, creed, color, religion, citizenship status, sexual orientation, gender, gender expression, gender identity, national origin, disability, marital status, pregnancy, disabled veteran or status as a protected veteran. If you need a reasonable accommodation for any part of the application and hiring process, visit the accommodation request page.

BMC Software maintains a strict policy of not requesting any form of payment in exchange for employment opportunities, upholding a fair and ethical hiring process.

(Returnship@BMC)

Had a break in your career? No worries. This role is eligible for candidates who have taken a break in their career and want to re-enter the workforce. If your expertise matches the above job, visit to https://bmcrecruit.avature.net/returnship know more and how to apply.

Min salary

2,549,100

Mid point salary

3,398,800

Max salary

4,248,500