Enterprise Data Science Architect: End-to-End ML Pipelines

Lovelytics; Chicago (IL); On-site; USD 145,000 - 200,000; Full time

Benefits offered by this job

Meaningful data science projects

Mentorship opportunities

Collaborative culture

Job summary

Lovelytics seeks a Data Scientist Architect to lead end-to-end ML pipelines and client-facing AI deployments on the Databricks platform. You will shape strategy, drive pre‑sales efforts, and guide cross‑functional teams to deliver scalable AI solutions with measurable business impact.

The role emphasizes technical leadership, collaboration with C‑suite stakeholders, and the delivery of enterprise-grade ML/AI projects across industries.

Qualifications

• 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 the following areas: forecasting, anomaly detection, recommendation system, computer vision, risk modeling or mathematical optimization.
• Expert knowledge of Python, 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, LangChain, DSPY etc, as well as coding assistants.
• Experience with rapid prototyping and creating proofs of concept, technical presales presentations and pricing for engagements.
• Prior experience with revenue management, price modeling and causal Inference.

Responsibilities

• Define clear business-value metrics and targets for engagement success.
• Lead technical scoping, feasibility assessments and solution design for proposals and client pitches.
• Design scalable end-to-end ML pipelines spanning data analysis, feature engineering, model training, deployment and MLOps.
• Direct cross-functional delivery teams to execute solutions aligned with architecture standards.
• Establish code quality, model validation and best practices to ensure reliability.
• Articulate technical concepts and trade-offs to technical teams and C-suite stakeholders.
• Design workflows and integration strategies to drive adoption of AI/ML tools.
• Conduct client enablement workshops and knowledge transfer for long-term sustainability.

Skills

Python

SQL

Databricks

LLM APIs

Education

Bachelor’s or Master’s in CS/Engineering/Statistics/Economics

Tools

Unity Catalog

MLFlow

Delta Tables

Hugging Face

LangChain

Job description

Lovelytics seeks a Data Scientist Architect to lead end-to-end ML pipelines and client-facing AI deployments on the Databricks platform. You will shape strategy, drive pre‑sales efforts, and guide cross‑functional teams to deliver scalable AI solutions with measurable business impact.

The role emphasizes technical leadership, collaboration with C‑suite stakeholders, and the delivery of enterprise-grade ML/AI projects across industries.