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Data Scientist

Decision Six Inc.Scottsdale, AZ🇺🇸United StatesPosted 21 Jul 2026

Why This Role Stands Out

This on-site Data Scientist role at Decision Six Inc. offers a fantastic opportunity to apply advanced machine learning techniques and build production-level code on terabyte-scale datasets, perfect for an experienced data professional eager to drive impactful solutions. You'll thrive in this dynamic environment, collaborating with product and engineering teams to solve complex challenges and gain valuable experience in rapid prototyping and feature engineering. Apply today to contribute to innovative projects within a reputable technology company!

Quick Overview

Work Type
On Site
Level
Mid Senior

Job Description

Position Title: Data Scientist

Location: Scottsdale AZ (onsite) Need Locals

Duration: Long Term Contract

Data Scientist JD:

  • Experienced data science, engineering, mathematics, or related work experience is required.
  • Experience developing data science pipelines & workflows in Python, R or equivalent programming language. Experience in writing and tuning SQL. Experience handling terabyte size datasets
  • Experience applying various machine learning techniques, and understanding the key parameters that affect their performance
  • Experience using ML libraries, such as scikit-learn, mllib, etc.
  • Experience using data visualization tools
  • Able to write production level code, which is well-written and explainable
  • Interest to do lots and lots of proof of concepts/rapid prototyping
  • Ability to effectively communicate findings from complex analyses to non-technical audiences.

Essential Functions

  • Explore and aggregate data independently to uncover data anomalies that impact algorithm performance
  • End to end feature engineering - brainstorm, create, validate, down-select, etc.
  • Write production level code in a dynamic, start-up environment
  • Solve complex problems using terabyte size data sets
  • Apply of a variety of machine learning techniques to a business problem to arrive at optimal approach
  • Partner with Product and Engineering teams to solve problems and identify trends and opportunities
  • Explain and visualize results and algorithm performance to non-technical audiences
  • Support the company's commitment to protect the integrity and confidentiality of systems and data.

Preferred Qualifications

  • Pyspark experience
  • Building fraud and/or risk models
  • Knowledge of advanced ML algorithms
  • Industry experience in machine learning

Experience exploring data and finding hidden patterns

Skills

SQL
Machine Learning
Scikit-learn
Python

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