Senior Data Scientist
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, 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.
Required Qualifications
- 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
#LI-Remote
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.
The annual base salary range represents the low and high end of the BMC salary range for this position. Actual salaries depend on a wide range of factors that are considered in making compensation decisions, including but not limited to skill sets; experience and training, licensure, and certifications; and other business and organizational needs.
The range listed is just one component of BMC's employee compensation package. Other rewards may include a variable plan and country specific benefits.
At BMC, it is not typical for an individual to be hired at /near the top of the range. A reasonable estimate of the current range is $116,250 - $193,750
Min salary
116,250
Mid point salary
155,000
Max salary
193,750