Role Description Aqui na Programmers, aceleramos grandes ideias com inovação e tecnologia. Com uma trajetória de mais de 30 anos, o que nos move são os desafios em construir ideias em soluções reais, para que nossos clientes sejam referências no segmento que atuam. Buscamos um(a) profissional com forte perfil analítico, pensamento crítico e alta capacidade de transformar dados em direcionadores estratégicos para o negócio. Você será responsável por: - Estruturar análises complexas; - Questionar hipóteses; - Identificar vieses; - Garantir rigor estatístico em todas as entregas; - Desenhar, estruturar e analisar testes A/B com robustez metodológica; - Definir e acompanhar métricas de performance consistentes e orientadas a impacto; - Interpretar resultados com profundidade técnica e visão de negócio; - Atuar em problemas complexos, como elasticidade de preço, comportamento do consumidor e mensuração de impacto incremental; - Conduzir análises que suportem decisões sobre promoções personalizadas, segmentação e estratégias de comunicação, incluindo canais digitais como pop-ups em app. Seu papel será garantir que cada iniciativa seja orientada por evidências, métricas claras e análises críticas bem fundamentadas. Qualifications - Domínio de Python e PySpark; - Experiência sólida com SQL, BigQuery, Databricks ou ambientes equivalentes; - Vivência na construção de pipelines de Machine Learning e processos de ETL; - Experiência prática com frameworks como MLlib, scikit-learn, TensorFlow ou PyTorch; - Experiência estruturando e analisando testes A/B; - Forte conhecimento em estatística aplicada, inferência estatística e modelagem preditiva. Requirements - Conhecimento ou experiência em AWS; - Vivência em squads focadas em Revenue, consumer, pricing ou estratégias de cupons e promoções; - Experiência em ambientes orientados a crescimento e otimização de conversão. Benefits - Política de Home Office; - Plano de saúde, com cobertura nacional; - Plano odontológico; - Convênio com Sesc; - Wellhub; - Vale refeição ou alimentação; - Auxílio creche; - Participação nos resultados; - Licença parental estendida; - Plano de desenvolvimento individual/anual com subsídio para capacitação; - Treinamento do idioma inglês; - Programa de intercâmbio (USA).

Job Description: As a Staff Data Scientist, you will play a pivotal role in our Data Science and Machine Learning (DSML) team, driving high-impact projects that shape our product experience and capabilities. You will leverage your deep expertise in data science, applied AI, and machine learning to solve complex challenges, enhance our product offerings, and deliver actionable insights that propel our business forward. This role requires a blend of technical mastery, strategic thinking, and leadership to foster innovation and deliver results. Who you’re committed to being: - You enjoy learning and are open to new ways of doing things. - You are not afraid to be yourself, experiment, make mistakes and learn from them, ask questions, or voice your concerns. - When communicating you are self-aware, insightful, and proactive. - You are a team member first and individual contributor second. You are aware that high-performing teams are only as strong as their weakest link. - You believe in continuous improvement and request frequent feedback from others. What you’ll do: - Lead and execute end-to-end data science and AI projects, including problem definition, data exploration, model development, deployment, and evaluation. - Collaborate with product managers, engineers, and business stakeholders to define project objectives, align on priorities, and ensure successful outcomes. - Develop and implement advanced machine learning and AI models and algorithms to drive product innovation, improve user experience, and optimize business processes. - Coach, mentor and develop data scientists, fostering a culture of technical excellence and continuous learning. - Stay abreast of industry trends, emerging technologies, and best practices in data science, machine learning, and AI; evaluate and advocate for their adoption within the team and organization. - Communicate complex data-driven insights and recommendations to technical and non-technical stakeholders through clear visualizations and presentations. Experience you’ll bring: - Deep understanding of machine learning algorithms, large language models (LLMs), and statistical methods, with practical experience deploying them in production. - Proficiency in Python and interactive development environments (e.g., Jupyter or similar). - Experience with modern data platforms for scalable data processing and analytics (e.g., Snowflake or other cloud data warehouses; dbt or similar frameworks; Airflow or other orchestration tools; Kubernetes or comparable container systems). - Experience with modern ML platforms for development, deployment, and operations (e.g., PyTorch/TensorFlow; MLflow or similar experiment tracking; Hugging Face or vector databases for LLMs; MLOps practices at scale). Requirements: - Advanced degree (Ph.D. or M.S.) in Computer Science, Statistics, Mathematics, Engineering, or a related field. - 7+ years of experience in data science, applied AI, or machine learning, with a proven track record of delivering impactful, product-oriented projects. - Familiarity with model deployment and serving approaches, including use of large compute resources. - Experience with data visualization and lightweight app frameworks (e.g., Streamlit or comparable) for communicating insights. - Strong foundation in software engineering best practices (e.g., Git/GitLab, CI/CD, reproducibility). - Demonstrated ability to solve complex problems, mentor others, and influence across technical and product teams with clear communication and collaborative leadership. - This is a remote role; however, applicants located within 45 miles of our Westlake/Dallas, TX office should expect to work on-site Tuesday through Thursday, with remote flexibility on Mondays and Fridays. This approach enables more effective collaboration, quicker decision-making, and a stronger culture, while still providing flexibility. Why you’ll love working here: - We’re a blended workplace, where team members work remotely or in a hybrid setup depending on their role and location - We’re mission driven and guided by our culture pillars - We have a strong commitment to diversity and belonging - We cultivate a culture of trust, autonomy, and collaboration - We’re lifelong learners and champion team member growth and advancement - We’ve got you covered - team member benefits include competitive compensation packages, medical coverage, unlimited PTO, wellness reimbursements, Pluralsight subscription, professional development funds and more. About us: Pluralsight provides the only learning platform dedicated to accelerating the technology skills and capabilities of today’s tech workforce. Thousands of companies, government organizations and individuals around the world rely on Pluralsight to support critical technology skill development in areas that are crucial to innovation including artificial intelligence, cloud computing, cybersecurity, software development, and machine learning. Pluralsight provides highly curated content developed by vetted technology experts, industry leading skill assessments, and hands on, immersive learning experiences designed to help individuals skill-up faster. Physical Requirements: This role is primarily performed in an office or home office setting and involves standard computer-based work. EEOC Statement & Accommodations Statement: Bring yourself. Pluralsight is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or veteran status. We also consider qualified applicants with criminal histories, consistent with EEOC guidelines and local laws. If you need an accommodation to apply, interview, or perform essential job functions, please visit the bottom of our website to learn how to request an accommodation. Learn more about our commitment to diversity, equity, inclusion, and belonging in our DEIB Report. The annual US base salary range for this role is $153,900 - $220,000 USD. Actual compensation will depend on location, skills, experience, and other factors. Additional benefits and bonuses may apply. Applications must be submitted within 90 days after the initial posting date to be considered. Recruiting Scam Notice: Please be aware of recruiting scams. We’ll only contact you from an @pluralsight.com email or verified channels. We never ask for sensitive personal info or payments as part of the hiring process. All openings are posted on our Careers page.

• The Senior Data Scientist is responsible for being a partner to team members, a mentor, and directly enabling growth of the Manufacturing Intelligence team at MCA. • The Sr. Data Scientist is expected to lead Data Science implementations, drive innovation, upskill and mentor junior teammates, and partner with leadership to drive continuous improvement. • Within a project framework, the Sr. Data Scientist is responsible for building client relationships, effectively utilizing Agile project delivery methodologies, implementing scalable and efficient technical architectures to satisfy client requirements, and performing hands-on implementations of Microsoft data solutions for MCA Connect’s current and future customers/projects.

• Desenvolver, testar e colocar em produção modelos tabulares complexos de alta performance, focados estritamente em problemas de classificação e risco de crédito. • Garantir o ciclo de vida completo dos modelos (end-to-end), desde a manipulação e extração de dados brutos até o monitoramento e suporte operacional em ambiente produtivo. • Investigar e intervir de forma ágil e prática em cenários reais de falha ou degradação de modelos em produção, garantindo a resiliência das operações de crédito. • Utilizar técnicas avançadas de interpretabilidade de modelos para traduzir comportamentos estatísticos complexos em insumos claros para a tomada de decisão de negócio. • Atuar como referência técnica avançada (Staff), elevando a barra de engenharia e modelagem de dados de todo o time de cientistas.