OneSix

HQ
Chicago
50 Total Employees
Year Founded: 2013

OneSix Benefits Overview

Compensation + Benefits

Offers 401(K)

Offers dental insurance

Offers vision insurance

Offers health insurance

Offers mental health benefits

Offers generous parental leave

Provides fertility benefits

Work-Life Balance + Wellbeing

Offers generous PTO

Provides paid holidays

Company Culture

Office is pet friendly

Provides a mobile phone discount

Offers a remote work program

Recently posted jobs

3 Hours AgoSaved
Remote or Hybrid
2 Locations
Artificial Intelligence • Big Data • Machine Learning • Analytics • Business Intelligence • Consulting • Generative AI
Lead predictive modeling and causal inference initiatives for clients, developing models from exploratory analysis through production deployment, monitoring, and retraining. Apply GLMs, econometric methods, uplift modeling, propensity methods, and deep-learning forecasting. Process large-scale data with SQL and Spark, build models in Python, improve production reliability, and communicate findings to technical and business stakeholders in a consulting environment.
2 Days AgoSaved
Remote or Hybrid
USA
Artificial Intelligence • Big Data • Machine Learning • Analytics • Business Intelligence • Consulting • Generative AI
Lead client-facing data and AI delivery teams to deliver projects on time, on budget, and within scope. Create roadmaps, manage schedules, budgets, risks, and communications; mentor other Project Managers; collaborate with technical leads and clients; support scoping, estimation, and business development. Ensure quality, guide stakeholder alignment, and drive successful outcomes across multiple simultaneous engagements.
14 Days AgoSaved
Remote or Hybrid
2 Locations
Artificial Intelligence • Big Data • Machine Learning • Analytics • Business Intelligence • Consulting • Generative AI
Design, build, and deploy ML models across diverse use cases; work with managed cloud ML platforms and containerized solutions; collaborate with engineers on production integration and MLOps best practices; preprocess and analyze large datasets; mentor teammates and influence technical direction; translate complex ML concepts for technical and non-technical stakeholders.