Solution Architect, Data Science

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🌽 Illinois, Virginia – Remote

🌽 Illinois – Remote ⚔️ Virginia – Remote

💵 $155k - $190k / year

⏰ Full Time

🟠 Senior

🔴 Lead

💻 Solutions Engineer

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Lovelytics

WebsiteLinkedInAll Job Openings

501 - 1000 employees

💼 Consulting

🤖 Artificial Intelligence

🏢 Enterprise

💰 Series unknown on 2023-07

Consulting • Artificial Intelligence • Enterprise

Lovelytics is a data and AI consultancy that helps large enterprises turn data and AI initiatives into measurable business outcomes. Focused 100% on data and AI, the firm offers services including data strategy and advisory, data engineering, data governance and migrations, analytics and visualization, generative AI and ML (including LLMOps and MLOps), and cloud migration/modernization. Lovelytics works with Fortune 500 clients across industries such as energy & utilities, retail/CPG & travel, manufacturing, healthcare & life sciences, communications/media/entertainment & gaming, and financial services, and partners with major platform providers like Databricks, AWS, Microsoft Azure, Google Cloud, and Anthropic.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• 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.