Senior Data Science Solutions Architect

Socket.dev; Chicago, Arlington (IL, TX); On-site; USD 155,000 - 190,000; Full time

Job summary

Lovelytics in Chicago seeks a Solutions Architect – Data Science to lead technical strategy, design end-to-end ML pipelines, and drive pre-sales engagements from scoping to delivery.

Ideal candidate blends deep ML expertise with consulting acumen to influence both technical teams and C-suite executives, shaping business-value metrics and scalable AI solutions. This role emphasizes rapid prototyping, client enablement, and cross-functional leadership.

Qualifications

• 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 forecasting, anomaly detection, recommendation systems, computer vision, propensity modeling, or 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 pre-sales 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.

Responsibilities

• Define clear business-value metrics (ROI, revenue impact, cost reduction) alongside technical performance targets.
• Lead technical scoping, feasibility assessments, and solution design for proposals, SoWs, and client pitches.
• Design scalable, secure end-to-end ML pipelines covering data analysis, feature engineering, model training, deployment, and MLOps.
• Direct cross-functional delivery teams to execute solutions aligned with standards.
• Establish code quality standards, model validation protocols, and technical best practices to prevent debt and ensure reliability.
• Articulate technical concepts, model trade-offs, and operational risks to technical and C-suite stakeholders.
• Design workflows and user integration strategies to drive high adoption of AI/ML tools.
• Conduct client enablement workshops and knowledge transfer sessions to build internal capability.

Skills

Python

SQL

Databricks

LLM APIs

Machine learning

Prototyping

Executive communication

Client facing

Education

B.S./M.S. in CS/Engineering/Quant

Quantitative degree

Tools

Unity Catalog

MLFlow

Delta Tables

Hugging Face

LangChain

Job description

Lovelytics in Chicago seeks a Solutions Architect – Data Science to lead technical strategy, design end-to-end ML pipelines, and drive pre-sales engagements from scoping to delivery.

Ideal candidate blends deep ML expertise with consulting acumen to influence both technical teams and C-suite executives, shaping business-value metrics and scalable AI solutions. This role emphasizes rapid prototyping, client enablement, and cross-functional leadership.