Help develop and manage state of the art predictive algorithms that use data at scale to automate and optimize decisions
Collaborate with peers on their product
Participate in code reviews and gain broader understanding of different components within the application
Perform data exploration and analysis (look at distributions, find anomalies, create simple visualizations, etc.)
Implement algorithmic solutions given specifications, adhering to best practices in model development
Create a well-maintainable & tested codebase with relevant documentation
Understand and actively follow foundational programming principles (best practices, unit tests, code organization, basics of CI/CD)
Implement prototypes for individual components of software or data science solutions

4-year degree in Quantitative disciplines (Science, Technology, Engineering, Mathematics) or equivalent experience
Exceptional Python programming experience with advanced technical problem-solving skills
1 plus year of experience implementing end to end ML models and algorithms into production
Knowledge of search indexing, ranking, information retrieval, query understanding or recommendation / recommender systems
Experience deploying Machine Learning algorithms into production environments
Experience with ML Ops (VetexAI, Bigquery, etc.) and various testing frameworks and containerization (Docker, Kubernetes, etc.)
Experience querying large databases with SQL, HQL or some variations
Excellent interpersonal and communication skills that can partner with global teams
Constant learner mentality that stays on the leading edge of search, ranking, applied ML, LLM’s and NLP advancements

Comprehensive health benefits and programs including medical, vision, dental, life insurance
401(k)
Employee discount
Short term disability
Long term disability
Paid sick leave
Paid national holidays
Paid vacation

Applied Data Scientist – Search Ranking

Key skills