Tech Stack
AzurePythonPyTorchSparkTensorflow
About the role
- Design and conduct statistical analyses and machine learning experiments using Azure ML
- Develop, validate, and optimize predictive models for business applications
- Perform advanced feature engineering and data preprocessing on large datasets
- Design and execute A/B tests and controlled experiments to measure model impact
- Build data pipelines and collaborate with AI engineers on model Productionisation
- Communicate findings and recommendations to stakeholders through reports and presentations
Requirements
- Bachelor's/master's degree in computer science, Statistics, Mathematics, or related field
- 5+ years of data science experience with a proven track record of model development
- Strong expertise in Python, machine learning frameworks (PyTorch, TensorFlow), and statistical analysis
- Experience with Azure ML, data processing tools (Spark, Databricks), and experiment design
- Ability to communicate complex technical concepts to both technical and non-technical audiences.
- Competitive pay, annual bonuses, and top-performer recognition.
- Comprehensive health, family, and retirement benefits.
- Flexible work options, generous PTO, and wellness programs.
- Professional growth through learning platforms, mentorship, and leadership programs.
- Inclusive teams that reflect the world we serve, supported by Employee Resource Groups and our Equality & Inclusion Council.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
statistical analysismachine learningpredictive modelingfeature engineeringdata preprocessingA/B testingdata pipelinesPythonPyTorchTensorFlow
Soft skills
communicationcollaboration