Senior Machine Learning Engineer

AustinWorks; United States; Remote; USD 96,432 - 110,208; Full time

Job summary

A dynamic media agency in the United States is seeking a Senior Machine Learning Engineer/Data Scientist to develop and deliver machine-learning solutions. This full-time contract position offers a pay of $70-$80/hour. Candidates must have substantial experience in advertising analytics, a strong background in Python, and experience with Bayesian modeling. This is a remote role requiring collaboration across various teams and maintaining a production-grade codebase. Candidates must reside in specific states and work PST hours.

Qualifications

• 8+ years of experience as a Data Scientist with a strong background in advertising analytics.
• Proficient in Python with solid foundations in data structures, algorithms, and OOP.
• Deep experience with Bayesian modeling ideally using PyMC and pymc-marketing.

Responsibilities

• Build, run, and validate statistical and machine learning models for client reporting and optimization.
• Translate complex analytical results into clear narratives for internal and client-facing teams.
• Collaborate cross-functionally in a fast-paced, remote environment.

Skills

Data Scientist

Advertising analytics

Python

Bayesian modeling

SQL

Pandas

Git

Terraform

Scikit-learn

TensorFlow

Education

Bachelor’s degree in Statistics, Mathematics, Computer Science, Economics, or a related field

Tools

Ray

Docker

Job description

Full-time contract (12 weeks) with potential to convert to permanent

Remote (PST hours required)

$70-$80/hour

About Our Client

Our client is a fast-moving media planning, buying, and analytics agency that builds and executes omnichannel paid media campaigns for both B2B and B2C brands. They are known for advanced measurement, strong strategic execution, and moving significantly faster than traditional agencies while maintaining a high level of transparency and client service.

Role Overview

Our client is seeking a senior Machine Learning Engineer / Data Scientist on a contract basis to support the development and delivery of a machine-learning–powered media measurement and optimization platform. This is a highly execution-oriented role focused on building, running, validating, and iterating on Bayesian marketing mix models to support active client engagements.

You’ll work closely with analytics, data science, and media teams, translating complex statistical outputs into clear, actionable insights while contributing to the ongoing evolution of the modeling platform and underlying infrastructure.

Responsibilities

• Build, run, and validate statistical and machine learning models for client reporting and optimization
• Translate complex analytical results into clear narratives for internal and client-facing teams
• Improve and extend Bayesian modeling approaches used for attribution and forecasting
• Maintain and contribute to a production-grade codebase, containerized workflows, and cloud infrastructure
• Operate within an AWS-based environment
• Work independently while managing multiple priorities and deadlines
• Provide guidance and mentorship to other data science team members
• Collaborate cross-functionally in a fast-paced, remote environment

Requirements

• 8+ years of experience as a Data Scientist, with a strong background in advertising analytics
• Bachelor’s degree in Statistics, Mathematics, Computer Science, Economics, or a related field
• Advanced Python skills with solid foundations in data structures, algorithms, and OOP
• Deep experience with Bayesian modeling (ideally PyMC and pymc-marketing)
• Proficiency with SQL, Pandas, and standard ETL practices
• Experience with Ray, containerization tools (Docker or Podman), Git, and Terraform
• Familiarity with ML frameworks such as scikit-learn, TensorFlow, or PyTorch
• Strong knowledge of econometrics and statistical modeling
• Proven ability to work independently and communicate effectively in a remote setting
• Experience with marketing mix modeling (MMM), experimentation, and media measurement required
• Strong organizational skills and attention to detail
• Must work PST hours
• Candidates must reside in one of the following states: AZ, CA, CO, CT, IL, MA, NJ, NY, OR, SC, TX, WA