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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and deploying machine learning models, particularly in recommendation systems, while effectively measuring success through business KPIs. Proficient in deep learning frameworks and data analysis techniques to drive business performance.
Highest-signal resume keywords
Machine Learning Model DeploymentDeep Learning ProficiencyRecommendation Systems ExperiencePython and SQL SkillsData Analysis and Feature Development
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine LearningDeep LearningRecommendation SystemsPythonSQLData AnalysisFeature DevelopmentModel EvaluationExploratory Data AnalysisProduction Data Science
Tools & Technologies
PyTorchTensorFlow
Industry Keywords
Business KPIsHigh-Scale EnvironmentsPersonalizationDynamic PricingBidding
Tech Stack
Tools & technologiesPythonPyTorchSQLTensorflow
About the role
Key responsibilities & impact- Own the full funnel of applied machine learning work, from idea through production
- Build, improve, and deploy recommendation models that support Nift's core business goals
- Tackle deep learning problems in a production setting
- Conduct exploratory data analysis, preprocessing, feature development, and modeling
- Run experiments and evaluate success against business KPIs, not just model metrics
- Partner with engineering and infrastructure teammates to productionize models and scale systems
- Improve recommendation quality, personalization, and the business performance tied to those systems
Requirements
What you’ll need- 5+ years of experience in production data science environments
- Strong hands-on experience taking machine learning models into production
- Strong deep learning experience; proficiency with PyTorch or TensorFlow is expected
- Direct experience with recommendation systems, or adjacent experience in areas like bidding or dynamic pricing
- Strong Python and SQL skills
- Experience working with data at meaningful scale — high-scale environments are a strong plus
- Ability to measure model success through business outcomes such as revenue, conversion, churn, or similar KPIs