Senior Data Scientist - Remote, End-to-End ML Production

Elios, Inc.; United States; Hybrid; USD 120,000 - 180,000; Full time

Job summary

Elios, Inc. is seeking a Data Scientist for a US-remote contract role focused on applied work that ships into production across client engagements in financial services, energy, and industrial environments.

This senior individual contributor will own the process from problem framing to deployment, build models for regression, classification and time series, and collaborate with engineers and product managers on data pipelines, monitoring and retraining.

Qualifications

• 5+ years of applied data science experience.
• Strong Python and SQL skills.
• Experience with warehouse-centric environments using dbt, Snowflake/BigQuery, Airflow or similar.

Responsibilities

• Own end-to-end projects from problem framing to deployment.
• Build and tune models across regression, classification, time series, experiments.
• Collaborate with engineers and product managers on pipelines, monitoring and retraining.

Skills

Python

SQL

Machine Learning

Data Pipelines

Tools

dbt

Snowflake

BigQuery

Airflow

Job description

Job Description

Data Scientist

Location: US-remote | Type: Contract | Experience: 5+ years

We're hiring a Data Scientist for a contract role focused on applied work that ships into production across enterprise client engagements in financial services, energy, and industrial environments.

This is a senior individual contributor role with end-to-end ownership, from problem framing through deployment. You'll build and tune models across regression, classification, time series, experimentation, and applied machine learning, while working closely with engineers and product managers on pipelines, monitoring, and retraining strategy.

The right candidate brings 5+ years of applied data science experience and a track record of shipped models. Strong Python and SQL skills are important, along with hands-on experience in modern warehouse-centric environments using tools such as dbt, Snowflake or BigQuery, and Airflow or similar orchestration platforms.

You should be comfortable working in client environments with mixed levels of technical maturity, documenting your work clearly, translating findings into executive-ready recommendations, and owning the technical narrative with external stakeholders. Consulting or agency experience is strongly preferred, along with client-facing polish, autonomy, and the ability to work through short delivery cycles.

This team values craft, practical rigor, and AI-native workflows, so candidates should already be using AI tools productively in their day-to-day work.