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Senior Data Scientist
Zup Innovation. Develop machine learning and artificial intelligence models for behavioral analysis of digital events .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates advanced proficiency in Python and machine learning frameworks, with a strong focus on developing scalable solutions in distributed environments. Expertise in data governance, A/B testing, and translating technical insights into strategic business actions is essential.
Highest-signal resume keywords
Advanced Python ProficiencyMachine Learning Model DevelopmentSpark for Distributed Data ProcessingAWS Glue, EMR, and S3 ExperienceA/B Testing and Causal Inference
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonPyTorchTensorFlowSQLSparkAWS GlueAWS EMRAWS S3Data GovernanceRecommendation Systems
Soft Skills
CollaborationKnowledge SharingStrategic Decision-Making
Tools & Technologies
SnowplowGoogle AnalyticsTerraformCI/CD Practices
Industry Keywords
Behavioral AnalysisData PipelinesCausal InferenceHypothesis ValidationApplied Statistics
Tech Stack
Tools & technologiesAWSPandasPythonPyTorchScikit-LearnSparkSQLTensorflowTerraform
About the role
Key responsibilities & impact- Develop machine learning and artificial intelligence models for behavioral analysis of digital events
- Conduct and validate A/B experiments and causal inference studies to support strategic decision-making
- Design robust data pipelines, ensuring data quality and governance
- Scale machine learning solutions in distributed environments using Spark and AWS S3, Glue, and EMR
- Implement advanced tracking and measurement practices with Snowplow and Google Analytics
- Support the organization’s analytics maturity by promoting best practices for hypothesis validation and knowledge sharing
- Collaborate with different teams to translate technical results into strategic business actions
Requirements
What you’ll need- Advanced proficiency in Python, including PyTorch, TensorFlow, and ML libraries
- Strong experience with Spark for large-scale distributed data processing
- Advanced SQL for manipulating, extracting, and analyzing large volumes of data
- Hands-on experience with AWS Glue, EMR, and S3 for Data Science applications
- Familiarity with Terraform and CI/CD practices for deployment automation
- Solid knowledge of recommendation systems, generative models, and causal inference/experimentation frameworks
- Preferred knowledge of Pandas, Scikit-learn, PyTorch, applied statistics, Git, Snowplow, and Google Analytics
- Preferred knowledge of deep learning, FinOps, Bayesian analysis, causal inference, data governance, and global projects or industry publications
Benefits
Comp & perks- Freedom to work from anywhere
- Flexible working hours*
- Educational assistance
- Dedicated career development platform
- Internal guilds and other study and interest groups
- Health insurance
- Dental insurance
- Prescription medication discount program
- Telemedicine: 24/7 access to medical assistance
- Free online therapy
- Wellhub
- Extended maternity leave
- Extended paternity leave
- CAZ – Zuppers Support Center
- Meal and food allowance
- Life insurance
- Transportation allowance
- Home office allowance
- Childcare assistance
- Phone plan allowance
- Profit-sharing bonus