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Lead Data Scientist, Predictive Modeling & Causal Inference

OneSix•United States•🌍 Remote
Full-time3-7
$180K - $200K
per year
👁️ 0 views•📝 0 applications•Posted 8/22/2026•Expires 10/21/2026
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Job Description

About OneSix OneSix is a leading data and artificial intelligence (AI) consultancy that helps businesses build the strategy, technology, and teams they need to scale growth and efficiency.

Its team of skilled Data Engineers, Data Scientists, Machine Learning (ML) Experts, and AI Engineers seamlessly integrate with client teams to solve their most challenging business problems.

Leveraging strategic partnerships with Snowflake, AWS, Matillion, Fivetran, Pyramid Analytics, and more, the company uses modern technology, scalable architectures, and industry best practices.

With the recent acquisition of Strong Analytics, an ML and AI consultancy, OneSix is a uniquely powerful business partner to the enterprise, with a talent mix that is nearly impossible to find under one roof.

OneSix is a fast-growing firm with significant career opportunities for motivated professionals who want to help create a unique company. We are committed to fostering an inclusive employee experience that reflects the world we live in today.

We’re an equal-opportunity employer that welcomes people regardless of backgrounds, experiences, abilities, and perspectives. Lead Data Scientist We're looking for a Lead Data Scientist to embed with key clients as a senior technical partner on their data science team.

This is a player-coach role at the intersection of rigorous predictive modeling and production engineering: someone who is as comfortable deriving a causal estimate or specifying a generalized linear model as they are debugging a Spark job.

You'll work closely with the client's data science team to shape how the organization understands and predicts user behavior and business outcomes. Success in this role depends as much on the strength of your judgment as your ability to earn trust in a room.

Comfort in consulting work is also a requirement, working with production systems that have grown organically over years, data that isn't always clean, and business stakeholders who need answers on a time

Required Skills

Predictive ModelingCausal InferenceSparkGeneralized Linear ModelData ScienceMachine LearningData EngineeringAI EngineeringConsultingProduction Systems

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