Architect, Data Science

🕒 July 30

🌽 Illinois, Virginia – Remote

🌽 Illinois – Remote ⚔️ Virginia – Remote

💵 $140k - $210k / year

⏰ Full Time

🟠 Senior

🔴 Lead

🚰 Data Engineer

👻 Ghost score 32%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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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 business-value metrics such as ROI, revenue impact and cost reduction alongside technical performance targets • Lead technical scoping, feasibility assessments and solution design for proposals, Statements of Work and client pitches • Design scalable, secure and maintainable end-to-end multi-layer ML/AI pipelines covering data analysis, feature engineering, model training, deployment and MLOps • Direct cross-functional teams of Data Scientists, Data Engineers and ML Engineers • Establish code quality standards, model validation protocols and technical best practices • Explain technical concepts, model trade-offs and operational risks to technical teams and C-suite stakeholders • Design operational workflows and user integration strategies to drive adoption of AI/ML tools • Conduct client enablement workshops and knowledge-transfer sessions

🎯 Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, Statistics, economics or a related field • 7+ years of experience in data science & AI/ML, including large-scale solution deployments • 5+ years in a client facing role, preferably in a professional services firm • Strong communication skills with the ability to influence technical and executive stakeholders • Proven track record designing and implementing modern data science solutions in at least two of: forecasting, anomaly detection, recommendation system, computer vision, risk modeling or mathematical optimization • Expert knowledge of Python and SQL • Strong hands-on experience with Databricks, including Unity Catalog, MLFlow and Delta Tables • Proficiency with commercial and open-source LLM APIs and tooling such as Hugging Face, LangChain and DSPY, as well as coding assistants • Experience with rapid prototyping, proofs of concept, technical presales presentations and pricing for engagements • Prior experience with revenue management, price modeling and causal inference • Position is not eligible for work sponsorship at this time

🏖️ Benefits

• Meaningful, cutting-edge projects in Data Science & AI/ML with clients across industries • Rapid learning and mentorship opportunities with Data & AI thought leaders and practitioners • Culture of experimentation, innovation and continuous improvement • Opportunity to be a conference speaker, blogger and writer • Diverse and inclusive team with collaborative culture

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