Senior Machine Learning Engineer
AUSTIN WORKS
- New York, New York, United States
- New York, New York, United States
Über
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
#J-18808-Ljbffr
Sprachkenntnisse
- English
Hinweis für Nutzer
Dieses Stellenangebot stammt von einer Partnerplattform von TieTalent. Klick auf „Jetzt Bewerben”, um deine Bewerbung direkt auf deren Website einzureichen.