Note: The job is a remote job and is open to candidates in USA. YunoJuno is seeking a Data Scientist for an approximately six-month freelance engagement focused on unlocking the predictive power of brand, business, and media data. The role will build predictive models and forecasting frameworks, manage complex datasets, identify trends, translate findings into actionable recommendations, and collaborate with insights and analytics teams.
Responsibilities
- Execute Synthetic Data Pilots: Design, execute, and evaluate synthetic data pilots — assessing viability, methodology, data quality standards, and practical applications for our brand and insights work
- Build Predictive Models: Advise on and build a predictive model that integrates brand health tracking, business performance, and media spend data to set evidence-based targets and surface key correlations
- Develop Forecasting Frameworks: Develop a framework to predict in-market creative success, identifying the signals and leading indicators that most reliably forecast performance
- Data Management: Work across large, complex, and disparate datasets — cleaning, structuring, and harmonizing data from multiple sources to enable robust modeling
- Identify Trends: Identify meaningful relationships across brand, media, and business data that are not currently visible through standard reporting
- Translate Findings: Translate model outputs into clear, actionable recommendations for non-technical stakeholders including marketing, brand strategy, and finance teams
- Document Processes: Document methodologies, assumptions, and model logic to ensure work is reproducible and transferable to internal teams at the end of the engagement
- Collaborate: Partner with the insights and analytics teams to pressure-test approaches, validate findings, and align on priorities
Skills
- • Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent
- • 8+ years of work experience in analytics, data querying languages such as SQL, scripting languages such as Python, and/or statistical/mathematical software such as R
- • 8+ years of experience solving analytical problems using quantitative approaches, understanding ecosystems, user behaviors, behavioral and business metrics and leading data-driven projects from definition to execution — including defining metrics, experiment design, and communicating actionable insights
- • Proven expertise in building and validating predictive models (e.g., regression, time-series forecasting, causal inference, ML-based approaches)
- • Experience using machine learning and statistical analysis for building data-driven solutions or performing methodological research
- • Experience in the tech industry, ideally at a consumer-facing, data-rich organization
- • Comfortable working independently in a fast-paced, matrixed environment with evolving requirements and multiple stakeholders
- • Strong communication skills — able to make complex modeling work accessible and compelling for senior, non-technical audiences
- • Proven expertise in building and validating predictive models (e.g., regression, time-series forecasting, causal inference, ML-based approaches)
- • Experience using machine learning and statistical analysis for building data-driven solutions or performing methodological research
- • Strong communication skills — able to make complex modeling work accessible and compelling for senior, non-technical audiences
- • PhD in a quantitative field (e.g., Statistics, Computer Science, Economics, Applied Mathematics) strongly preferred
- • Experience with synthetic data generation techniques and a working understanding of their appropriate use cases and limitations
- • Background in marketing measurement, media mix modeling, or brand analytics
- • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
- • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
- • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
Benefits
- Full-time
- US - Remote - W2 contract
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