Fifteen years at the intersection of strategy and code.
A data scientist specializing in consumer insights and marketing analytics. I've led practices at BCG and Accenture, and I still build the models myself — for companies directly and for the consulting firms that serve them.
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BBA, UMass Amherst (Isenberg)
The short version
I'm Steven Baez. I help organizations understand who their customers are, what motivates them and how to reach them — reading product usage, CRM, digital and transaction data through applied machine learning, and turning what it says into marketing and sales decisions.
What makes me unusual is that I do both halves of the job. I lead the engagement — scoping with executives, running the workstream, presenting to steering committees — and I build the models, from feature engineering through deployment. Companies hire me for that directly; consulting firms bring me in to lead client workstreams and pursuits under their brand.
How I got here
I started in model development at Dell Technologies and Liberty Mutual, where I learned that a model nobody can operate is a research project, not a deliverable.
At The Boston Consulting Group I worked in the advanced analytics and data-science practice, building consumer-insight models, predictive analytics and data-driven strategy for product, pricing, marketing and go-to-market decisions across industries.
At Accenture I managed the Augmented Insights practice for Fortune 500 clients, leading the shift from traditional BI dashboards to machine-learning-driven insight. I built predictive frameworks for marketing and sales teams and ran data-science workstreams for CPG and top-tier accounts.
The through-line: help organizations understand their customers deeply and make better decisions with data — and make sure the thing that does it actually ships.
What I'm good at
Applied AI & ML. Propensity, adoption and churn models; segmentation and persona modeling; computer vision; NLP; LLM and agentic workflow prototypes; deployment and monitoring.
Consumer insights & marketing analytics. Behavioral, psychographic and firmographic intelligence; marketing mix modeling and attribution; CAC/LTV and spend optimization; product-pairing and basket analysis; brand health and retention.
AI strategy & frameworks. Readiness assessments and use-case prioritization; GTM and growth frameworks; design of internal AI, ML and BI capabilities; build-vs-buy and vendor evaluation.
Infrastructure & enablement. Data engineering, feature stores, dashboard development, KPI monitoring and model operationalization.
Stack
Python · SQL · PySpark · Databricks · Snowflake · Tableau · Power BI · Alteryx
Clients
Directly or through firms, I've delivered work for Nike, LinkedIn, Meijer, Mondelez International, Anheuser-Busch, Starbucks, Pfizer, Melissa & Doug, the Bill & Melinda Gates Foundation and Davidson Kempner Capital Management, among others across technology, CPG, retail, financial services and social impact.
Let's find out if I'm the right fit.
Thirty minutes, no pitch. Bring the pursuit, the dataset or the deadline.