Data Scientist

Data Scientist (6-month engagement)

Company: YunoJuno
Location: US - Remote
Contract: 1099 or W2 (freelance/contract)
Start: ASAP | End: 18th December | Schedule: Full-time

Role Overview

Hands-on Data Scientist engagement (approx. six months) partnering with insights and analytics teams to unlock predictive value across brand, business, and media data. You will build predictive models and forecasting frameworks to improve marketing effectiveness and overall business performance.

Responsibilities

• Synthetic Data Pilots: Design, execute, and evaluate synthetic data pilots, including viability, methodology, data quality standards, and practical applications.
• Predictive Modeling: Advise on and build predictive models integrating brand health, business performance, and media spend data.
• Forecasting Frameworks: Develop frameworks to predict in-market creative success using signals and leading indicators.
• Data Management: Clean, structure, and harmonize large, complex, and disparate datasets from multiple sources.
• Trend Discovery: Find meaningful relationships across brand, media, and business data beyond standard reporting.
• Actionable Translation: Communicate model outputs into clear, actionable recommendations for marketing, brand strategy, and finance stakeholders.
• Documentation: Document methodologies, assumptions, and model logic for reproducibility and transfer to internal teams.
• Collaboration: Pressure-test approaches with insights/analytics teams, validate findings, and align on priorities.

Requirements

• Bachelor’s degree in Mathematics, Statistics, or a relevant technical field (or equivalent).
• 8+ years experience in analytics, including SQL and Python (and/or R).
• 8+ years quantitative analytical problem solving: defining metrics, experiment design, and communicating actionable insights.
• Proven ability to build and validate predictive models (e.g., regression, time-series forecasting, causal inference, and ML approaches).
• Experience with machine learning and statistical analysis for data-driven solutions and/or methodological research.
• Familiarity with tech industry work, ideally in consumer-facing, data-rich contexts.
• Ability to work independently in a fast-paced, matrixed environment with evolving requirements and multiple stakeholders.
• Strong communication skills for senior, non-technical audiences.

Preferred

• PhD in a quantitative field (Statistics, Computer Science, Economics, Applied Mathematics).
• Experience with synthetic data generation and understanding limitations/use cases.
• Background in marketing measurement, media mix modeling, or brand analytics.
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and deliver measurable impact.