• Liderar tecnicamente projetos de modelagem e análise, desde a concepção até a entrega em produção, garantindo qualidade técnica e alinhamento com os objetivos de negócio; • Definir e disseminar boas práticas de engenharia de variáveis, arquitetura de features e estruturação de dados, elevando o padrão técnico do time; • Analisar dados para gerar insights estratégicos em diferentes frentes do negócio, identificando oportunidades de crescimento e riscos emergentes e traduzindo essas descobertas em decisões concretas; • Desenvolver, implementar e validar modelos e ferramentas de machine learning — como modelos de scoring, propensão, churn e segmentação — sendo referência técnica para o time nas escolhas de abordagem e metodologia.

• Explore large-scale event data to identify trends, patterns, and anomalies • Analyze data to support decision-making • Design, implement, optimize and test algorithms for CPA optimization • Build and refine predictive models for CPA campaigns • Collaborate with product/business/tech teams to turn findings into actionable decisions • Conduct and evaluate A/B tests • Create dashboards and visualizations to track KPIs

• Develop and deploy advanced forecasting models for sales, inventory, transportation, and transit time estimation to improve accuracy and operational efficiency. • Collaborate closely with fulfillment, transportation, revenue, product, engineering, and data science teams to translate business needs into predictive solutions that drive cost savings and enhance customer experience. • Own machine learning projects end-to-end—from ideation, data exploration, and prototyping to production deployment, monitoring, and continuous improvement. • Identify opportunities for optimization by leveraging predictive analytics to reduce costs, improve inventory placement, and minimize transit times across ShipBob’s global network. • Communicate insights and recommendations effectively through reports, dashboards, and presentations to senior stakeholders (Director to C-Suite), influencing strategic choices. • Promotes best practices in modeling and experimentation, ensuring scalability, reliability, and measurable impact. • Additional duties and responsibilities as necessary.

Role Description At Leap Tools, we are building the world's most advanced solutions for the interior décor industry. Our technology lets you preview products in your own room before you buy them. You can redesign your home and ensure products look good in your space through our proprietary cutting-edge technology. What you’ll do - Use a variety of analytical and statistical approaches to solve key business problems, working with large and complex datasets. - Collaborate with product managers and engineers to analyze user behavior, product usage, and feature adoption to improve the product and the user experience. - Conduct and evaluate A/B tests and communicate results to drive product optimization and empower customer-facing teams to drive adoption of new products/features. - Work with product managers to identify key product metrics and build dashboards for monitoring performance. - Proactively identify and interpret trends in the data to inform product development efforts, sales efforts, and thought leadership in the home decor industry. - Utilize statistical methods and machine learning techniques for a variety of use cases, such as predicting future trends and customer segmentation. - Leverage our data to drive insights for individual customers, helping them understand user behavior and preferences for targeted marketing strategies. Qualifications - Distinctive work experience in data preprocessing, data wrangling, feature engineering, data analysis, and statistical modeling, delivering polished customer-ready insights. - Exceptional attention to detail and focus on quality. - Excellent communication to convey complex findings to non-technical stakeholders. - Comfortable engaging with customers and senior executives. - Technical background, demonstrated through a degree in statistics, mathematics, or other related technical field, or alternatively through relevant work experience. - Proficiency in data querying languages (e.g., SQL) and at least one scripting language used for analysis (e.g., Python). Requirements - Exceptional attention to detail and focus on quality. - Excellent communication skills. - Comfortable engaging with customers and senior executives. - Technical background in statistics, mathematics, or related field. - Proficiency in data querying languages and scripting languages. Benefits - Remote-first company culture. - Tight-knit teams that cultivate an ownership mentality. - Work anywhere in the world for up to 3 months. - Parental leave program. - Work-from-home stipend. - Your birthday (and our company's birthday) is a day off! Company Description Leap Tools is an equal opportunity employer committed to fostering an inclusive, equitable, and accessible environment. Accommodations are available on request for candidates taking part in all aspects of the interview process.