Role Description Cientista de dados SR - 100% Remoto Qualifications - Graduação completa em Engenharia, Estatística, Matemática, Análise de Sistemas ou áreas correlatas; - Experiência com AWS (Glue, S3, SageMaker, Lambda, entre outros); - Experiência em manipulação de dados e modelagem estatística (Python, SQL, PySpark); - Experiência sólida em ciência de dados; - Experiência prática com LLMs; - Experiência com metodologias ágeis; - Pensamento analítico e habilidades para resolver problemas complexos relacionados a dados; - Boa capacidade de comunicação e trabalho em equipe; Requirements - Agentes autônomos; - Deploy de modelos em produção; - Monitoramento de modelos (drift, custo, performance); - Experiência com Docker; - Experiência com CI/CD; - Experiência com Cloud (AWS, GCP ou Azure); - Versionamento de modelos e experimentos.

Role Description 829 is seeking a highly analytical, technical, and hands-on leader to build, scale, and operationalize the next generation of data infrastructure, analytics systems, and process automation architecture across the agency. This role leads a small but specialized team, with support of contract engineers and analysts, to architect, implement, and maintain the underlying data systems that power measurement, forecasting, and operational efficiency. This role primarily manages and oversees Apollo, 829’s proprietary data centralization and insights platform that powers operational efficiency, campaign performance, and decision-making across 829’s client base. This is not a traditional agency reporting and BI role. This is a hands-on technical leadership position with responsibilities that span strategy, engineering, product management, and implementation. The right candidate will: - Write and review SQL & Python. - Influence data models and design ETL workflows. - Prototype features within Apollo. - Operate effectively in a lean environment without large in-house engineering teams. This is a player/coach role ideal for someone who loves combining strategy with execution. You will: - Architect measurement systems. - Implement forecasting and predictive models. - Shape the product roadmap for Apollo. - Set the analytics foundation for a 300-person agency navigating rapid change in marketing, media, and AI. You must be comfortable being scrappy, resourceful, and hands-on, while also operating as a cross-functional leader who can influence the broader organization. What You'll Do - Product Ownership & Technical Architecture: Apollo (60%) - Own the evolution of Apollo, 829’s data centralization and management platform. - Develop and manage the product roadmap — balancing technical feasibility, organizational needs, and high-impact use cases. - Own the Apollo budget and make resource-allocation decisions based on ROI and efficiency gains. - Lead technical direction and collaborate with engineers (contract) to deliver scalable improvements. - Identify and implement AI-driven workflows that materially reduce manual reporting, accelerate insight generation, and improve operational efficiency. - Act as the primary strategic resource for feature development, pressure testing all features and functions. - Ensure data models, pipelines, and system architecture support reliable analytics and performance reporting. - Build and standardize frameworks and documentation that ensure consistent adoption across teams. - Analytics, Measurement & Tracking Leadership (20%) - Guide the agency’s measurement philosophy and the systems that support it. - Oversee conversion tracking, ad-tracking, and analytics service delivery. - Build measurement frameworks, tagging schemas, ETL flows and data governance processes. - Implement forecasting and predictive modeling tools that support client performance. - Team Leadership (20%) - Lead a small but growing team that delivers exceptional agency and client outcomes. - Directly manage a team of full-time specialists and bench of contract labor. - Expand the team as needed to achieve performance objectives. - Support talent development through training and process development. - Spearhead change management and adoption of Apollo, measurement processes, and analytics tools across the agency. - Serve as a member of the leadership team, championing continuous improvement, data-driven decision making, and operational discipline. Qualifications - 10+ years’ experience in the agency space, with a preference for experience in analytics, product, and/or hybrid roles within digital marketing, media or agency environments. - Proven ability to run small teams and ship high-impact data/analytics solutions with constrained resources. - Hands-on experience with SQL, Python, DBT, APIs, ETL pipelines, and data warehousing (BigQuery, SnowFlake). - Experience operating without a large in-house engineering team and successfully shipping data products in lean environments. - Ability to read, review, and meaningfully contribute to application-layer code (Node, React, or similar) is strongly preferred. - Strong understanding of tracking architecture (GA4, GTM, server-side, conversion APIs). - Demonstrated experience creating repeatable forecasting and analytical models to predict and optimize client campaign performance. - Strong analytical capabilities, with a history of implementing systems that enable better data collection, retention and analysis. - Strong interpersonal skills and demonstrated ability to communicate with a variety of stakeholders. Nice-To-Haves - Experience with React/Node and custom front-end applications. - Prior experience building internal analytics or performance insight platforms. - Experience implementing custom AI tools, including chat and agentic applications. - Background in managing contract and near/off-shore resources. Benefits - Remote Workplace: Option to work at the office in Boston or remotely in various states. - Paid Time Off: Generous paid vacation benefits that increase each year, 12 Company Holidays, and Summer Fridays. - 401K + Match: 401K plan with 4% Safe Harbor employer match after one year of employment. - Life Insurance Benefit: No-cost coverage to ensure peace of mind for your family. - Short Term Disability Benefit: Coverage for illness or injury that keeps you out of work. - Healthcare: Competitive healthcare plans with significant employer coverage. - Commuter Benefits: Pre-tax funds allocation towards your commute. - Continuing Education: Access to webinars, learning platforms, and funding for conferences.

Role Description We are looking for a Senior Data Scientist to join us as the first Data Scientist on a new product we are building. This is a founding role: you will shape the data science function from the ground up, set technical direction, and own the end-to-end delivery of intelligent systems that define how our product creates value. You will tackle open-ended problems involving: - Task Mining - Process Mining - Behavioral workflow analysis - Pattern discovery - Predictive modeling - Applied GenAI/ML systems The goal is not just to build models, but to turn raw interaction data into measurable product and business impact: discovered workflows, bottlenecks, optimization opportunities, and scalable foundations for future DS/ML work. This is a remote position. We do not offer visa sponsorship or assistance. Resumes and communication must be submitted in English. Qualifications - 5+ years of professional experience in Data Science, Machine Learning, or Applied ML roles. - Demonstrated experience operating as the sole or lead Data Scientist on a product or team — owning problems end-to-end without senior DS supervision. - Strong experience with supervised and unsupervised ML, modern ML/data tooling, and the judgment to select the right approach for the problem. - Practical familiarity with representation learning, sequence modeling, Transformers, LLMs, or GenAI systems where relevant to product use cases. - Experience handling large-scale structured, unstructured, event, or interaction datasets. - Advanced proficiency in Python and SQL, with hands-on experience using tools such as PyTorch, scikit-learn, pandas/Polars, experiment tracking, and production ML workflows. - Experience deploying ML models, data pipelines, or intelligent systems into production. - Familiarity with Task Mining, Process Mining, event-log analysis, behavioral analytics, workflow automation, or adjacent domains. - Advanced degree in Computer Science, Data Science, AI, Statistics, Mathematics, or a related field is a plus; equivalent practical experience is strongly valued. Requirements - A founder’s mindset: full responsibility for outcomes, not just deliverables. - Comfort operating in high ambiguity: able to turn unclear product goals, noisy data, and incomplete requirements into an executable roadmap. - Strong business sense — connects technical work to commercial impact and measurable product value. - Pragmatic technical judgment — knows when to use advanced ML, when to simplify, and when better data, labeling, or evaluation is the real bottleneck. - Ability to build foundations for rapid scaling: reusable datasets, pipelines, metrics, evaluation frameworks, and modeling patterns future DS/ML hires can build on. - Highly proactive problem solver who acts without waiting for detailed instructions. - Excellent communication skills, with the confidence to push back constructively and propose direction. Nice to Have - Previous experience as a first or early Data Scientist at a startup or new product line. - Direct experience with Task Mining, Process Mining, workflow intelligence, RPA, or productivity analytics. - Experience with LLMs and Generative AI applications, especially evaluation, structured outputs, semantic labeling, summarization, or human-in-the-loop workflows. - Experience working with privacy-sensitive behavioral, productivity, or user-interaction data. - Experience with product experimentation, causal inference, or measuring the impact of workflow/process interventions. - Knowledge of MLOps and distributed processing frameworks, such as Spark. - Experience with cloud environments, especially GCP.

• Leveraging knowledge of financial derivatives, participate in the design and development of a Web3 AI-powered financial token risk control system integrated into a real-world system. • Assist in building and maintaining benchmark datasets to evaluate the performance of the AI ​​system, and assist in prototyping and iterating the workflow of the financial AI agent system. • Work closely with senior engineers to complete system design, integration, and deployment.