Develop and deliver advanced analytical solutions, including descriptive/explanatory models, decision support models, and optimization techniques, to address complex commercial business problems
Job Summary
Develop and deliver advanced analytical solutions, including descriptive/explanatory models, decision support models, and optimization techniques, to address complex commercial business problems.
Launch and scale agentic AI solutions, such as multi-agent systems, LLMs, RAG architectures, and real-time analytics platforms, for commercial decision-making.
Partner with business stakeholders to translate commercial objectives into actionable analytical projects and recommendations, and communicate complex analytical findings clearly to non-technical audiences.
Matching Summary
Develop and deliver advanced analytical solutions, including descriptive/explanatory models, decision support models, and optimization techniques, to address complex commercial business problems.
Skills & Requirements
Must-have
advanced analytical solutions
decision support models
optimization techniques
statistical analysis
regression modelling
clustering
segmentation
portfolio analysis
test frameworks
A/B testing
geo-experiments
matched markets
MMx pipelines
Bayesian/hierarchical MMx
adstock/distributed lag
saturation/response curve
agentic AI solutions
multi-agent systems
LLMs
RAG architectures
real-time analytics platforms
causal inference
incrementality frameworks
uplift modeling
MTA
CRM data
Veeva
next-best-action frameworks
omnichannel strategies
AI governance best practices
risk management
model monitoring
privacy
human-in-the-loop principles
cloud platforms
Databricks
Snowflake
Spark
data validation
quality checks
documentation
HIPAA
GDPR/CCPA
Nice-to-have
challenging work
meaningful work
life-changing work
uniquely interesting work
high-achieving teams
balance and flexibility
competitive benefits
supportive culture
global participation
passion
innovation
urgency
accountability
inclusion
integrity
reasonable workplace accommodations
Key Requirements
Strong analytical thinking and problem-solving skills
Deep understanding of statistical analysis, optimization techniques, and decision support models
Expertise in Bayesian/hierarchical MMx, adstock/distributed lag, saturation/response curve modeling
Proficiency with causal inference and incrementality tools
Proven experience launching and scaling agentic AI solutions
Deep proficiency in enabling agent collaboration, negotiation, and task orchestration
Strong understanding of experimental design, hypothesis testing, and A/B testing methodologies