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SeniorFull-timePythonRustAWSKubernetesMachine LearningData ScienceGitAIML
Salary Range
$86,190 - $116,610 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
The SAAS team at Branch is responsible for developing and maintaining the core measurement and attribution platform that powers mobile marketing for thousands of leading apps worldwide. Our data science team tackles some of the most complex challenges in ad tech, including probabilistic attribution across billions of daily events, real-time fraud detection, and incrementality measurement.
Key Responsibilities
- →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
- →Design and execute end-to-end statistical modeling approach, measure model performance, and statistically analyze results
- →Perform hands-on analysis and modeling of enormous, complex datasets to identify predictive signals and develop new features
- →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
Requirements
- ✓4+ years of professional experience building and deploying machine learning models for business applications
- ✓Degree in Computer Science, Engineering, Machine Learning, Statistics, or a related quantitative field
- ✓Strong programming proficiency in Python, SQL
- ✓Deep expertise in algorithms, data structures, numerical optimization, data mining, and distributed computing
- ✓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
- ✓Familiarity with AWS
Benefits
- ★Comprehensive benefits package including health and wellness programs
- ★Paid time off
- ★Retirement planning options
