Solution Architect, Data Science

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🕒 3 dias atrás

🌽 Illinois, Virginia – Remoto

🌽 Illinois – Remote ⚔️ Virginia – Remote

💵 $155.000 - $190.000 / ano

⏰ Tempo Integral

🟠 Sênior

🔴 Especialista

💻 Engenheiro de Soluções

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Lovelytics

SiteLinkedInTodas as Vagas

501 - 1000 funcionários

💼 Consultoria

🤖 Inteligência Artificial

🏢 Corporativo

💰 Series unknown em 2023-07

Consulting • Artificial Intelligence • Enterprise

A Lovelytics é uma consultoria de dados e IA que ajuda grandes empresas a transformar iniciativas de dados e IA em resultados de negócios mensuráveis. Focada 100% em dados e IA, a empresa oferece serviços que incluem estratégia e consultoria de dados, engenharia de dados, governança de dados e migrações, análises e visualização, IA generativa e ML (incluindo LLMOps e MLOps), e migração/modernização para a nuvem. A Lovelytics trabalha com clientes da Fortune 500 em setores como energia e utilidades, varejo/CPG e viagens, manufatura, saúde e ciências da vida, comunicações/mídia/entretenimento e jogos, e serviços financeiros, e faz parcerias com grandes fornecedores de plataformas como Databricks, AWS, Microsoft Azure, Google Cloud e Anthropic.

Descrição

• Define clear business-value metrics (e.g., ROI, revenue impact, cost reduction) alongside technical performance targets for every engagement. • Lead technical scoping, feasibility assessments, and solution design for proposals, Statements of Work, and client pitches. • Design scalable, secure, and maintainable end-to-end ML pipelines, spanning data analysis, feature engineering, model training, deployment, and MLOps. • Direct cross-functional delivery teams of Data Scientists, Data Engineers, and ML Engineers to execute solutions aligned with architectural standards. • Establish code quality standards, model validation protocols, and technical best practices to prevent technical debt and ensure system reliability. • Articulate technical concepts, model trade-offs, and operational risks clearly to both technical teams and non-technical C-suite stakeholders. • Design operational workflows and user integration strategies to drive high adoption of AI/ML tools among end-users. • Conduct client enablement workshops and knowledge transfer sessions to build internal capability and ensure long-term solution sustainability. • Build rapid prototypes, technical presales presentations, and proof of concepts for prospective client engagements.

🎯 Requisitos

• B.S. or M.S. in Computer Science, Engineering, Economics, or a related quantitative field. • 7+ years of experience in Data Science & AI/ML, including large-scale solution deployments. • 4+ years in a client-facing role, preferably in a professional services firm. • Proven track record designing and implementing modern data science solutions in at least two of the following areas: forecasting, anomaly detection, recommendation systems, computer vision, propensity modeling, and mathematical optimization. • Expert knowledge of Python and SQL and strong hands-on experience with Databricks (Unity Catalog, MLFlow, Delta Tables, etc.). • Proficiency with commercial and open-source LLM APIs and tooling like Hugging Face Transformers, LangChain, etc. • Experience with rapid prototyping and creating proofs of concept, technical presales presentations, and pricing for engagements. • Strong client-facing communication skills with the ability to influence technical and executive stakeholders. • Prior experience with fraud detection, risk modeling, or anomaly prevention systems.

🏖️ Benefícios

• Meaningful, cutting-edge projects in Generative AI with clients across industries—from Fortune 100 firms to disruptive startups. • Rapid learning and mentorship opportunities with AI/GenAI thought leaders and practitioners. • A culture of experimentation, innovation, and continuous improvement. • Opportunity to be a conference speaker, blogger, writer. • A diverse, inclusive team and one of the best GenAI teams, where your voice, ideas, and contributions are valued.