# Data Scientist - Model Strategy Management

**Company:** [Square](https://hotfix.jobs/companies/square)
**Location:** New York, NY
**Role:** Product Management
**Salary:** $139k – $225k/yr
**Experience:** 6+ years
**Skills:** SQL, Python, Machine Learning, Forecasting Models, Time-Series Analysis, Databricks, GitHub, R, Claude, Feature Engineering
**Posted:** 2026-05-14

> Leads end-to-end product lifecycle for predictive forecasting models using AI/ML, partnering with ML engineers on data strategy, model development, and stakeholder adoption. Requires 6+ years in PM/data roles, SQL/Python proficiency, and fintech experience.

## Job Description

## What You'll Do

### Problem Framing & Product Strategy
- Own the forecasting product roadmap end-to-end — from problem definition through launch and iteration
- Define business context, success metrics, and constraints that keep work aligned with strategic goals
- Serve as the source of truth for model decisions; maintain clear documentation as systems evolve
- Manage project flow: prioritization, timelines, dependencies, and cross-functional alignment

### Data & Signal Engineering
- Partner with ML engineers to ensure models are grounded in a clear, well-articulated understanding of the data
- Conduct in-depth data analysis to inform model design — segmentation, feature engineering, and evaluation strategy
- Leverage AI tools to explore data, generate hypotheses, accelerate analysis, and synthesize insights
- Analyze forecast results to identify trends, variances, and actionable recommendations for model performance

### Stakeholder Communication & Adoption
- Translate complex analytical concepts for diverse audiences — executives, finance partners, technical MLEs, and marketing teams
- Drive adoption through in-product education, documentation, and feature rollout strategies
- Build relationships across Block to understand user needs and evangelize forecasting capabilities

## What You Bring
- 6+ years in product management, management consulting, data science, model analytics or a hybrid analytical role
- Hands-on SQL proficiency and experience with Python (or R) for data analysis
- Strong understanding of forecasting models, time-series analysis, and ML applications
- Experience in financial services, fintech, or consumer finance — you understand how macroeconomic shifts and monetary policy influence consumer behavior
- Executive presence — you can distill complex topics into clear, concise narratives for technical and non-technical audiences alike
- Proven ability to manage multiple workstreams, drive alignment, and deliver in ambiguous, fast-moving environments
- Comfort operating at both the strategic level (roadmap, stakeholder management) and in the weeds (data exploration, model evaluation)
- Prior experience at strategy consulting firm or in a cross-functional analytics/strategy role at a fintech or technology company
- Bachelor's or Master's degree in Business, Economics, Statistics, Computer Science, or a quantitative field
- Familiarity with our stack: **SQL**, **Python**, **GitHub**, **Databricks**, **Claude**

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