Data Science Manager – GTM
Mercury
Data Scientist/ML Engineer
MGID
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteJob Level
Mid-LevelSenior
Tech Stack
HadoopPythonPyTorchScikit-LearnSparkSQLTensorflow
About the role
- Explore data to identify trends
- Evaluate campaign performance and support decision-making
- Design, implement, and optimize algorithms for CPA optimization
- Build and refine predictive models to improve decisions for CPA campaigns
- Work closely with product/business teams to ensure measurable business impact
- Conduct and evaluate A/B tests to assess the impact of algorithm changes
- Create dashboards and visualizations to track key performance indicators (KPIs)
Requirements
- Proven experience in data science
- Strong understanding of optimization problems
- Proficiency in Python and SQL
- Expertise in machine learning techniques and tools (e.g., CatBoost, XGBoost, TensorFlow, PyTorch, scikit-learn)
- Upper-Intermediate English
- MSc or PhD in Engineering, Statistics, Mathematics or related fields (preferred)
- Familiarity with the AdTech domain (preferred)
- Experience with big data technologies (Spark, Hadoop) (preferred)
- Hands-on experience with A/B testing and business metric optimization (preferred)
- Background in working with high-frequency or large-scale event data (preferred)
Benefits
- Flexible working arrangements
- Professional development opportunities
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data scienceoptimization problemsPythonSQLmachine learningA/B testingbusiness metric optimizationpredictive modelingalgorithm designalgorithm optimization
Soft skills
decision-makingcollaborationcommunication
Certifications
MScPhD
