Lead the design, development, and deployment of high-impact machine learning models
Drive complex, ambiguous, and high-scale ML projects from initial research and proof-of-concept through to large-scale deployment, working closely with software engineering teams
Design and execute end-to-end statistical modeling approach, measure model performance, and statistically analyze results to drive continuous product improvement
Perform hands-on analysis and modeling of enormous, complex datasets to identify predictive signals and develop new features that enhance probabilistic attribution performance, fraud prevention, incrementality measurement, and anomaly detection
Establish scalable, efficient, and automated processes for large-scale data analysis, machine learning model development, validation, and serving
Stay abreast of the latest research in ML, deep learning, optimization, and Ad Tech
Apply new, innovative approaches to Branch's unique challenges in mobile marketing measurement and attribution
Communicate complex findings and product vision to engineers, product managers, and business stakeholders, influencing the company's roadmap

Requirements

4+ years of professional experience building and deploying machine learning models for business applications.
Computer Science, Engineering, Machine Learning, Statistics, or a related quantitative field, degree in a related field and 4+ years of relevant experience.
Strong programming proficiency in one or more relevant languages (Python, SQL).
Deep expertise in foundational computer science areas, including algorithms and data structures, numerical optimization, data mining, and distributed computing (e.g., Spark, presto).
Experience with ML frameworks and libraries (Spark, pandas, Scikit-learn).
Proven ability to translate business problems into mathematical and ML frameworks.
Proven ability to conduct RND and Ad-hoc data analysis with excellent presentation skills. Good knowledge of Data visualization and BI tools (Superset, Looker, Tableau)
Familiarity with AWS

Benefits

Health and wellness programs
Paid time off
Retirement planning options

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

machine learningstatistical modelingdata analysisdata miningnumerical optimizationalgorithmsdata structuresprogramming (Python)programming (SQL)distributed computing

Soft Skills

communicationpresentation skillsproblem-solvinginfluencingcollaboration