Lead Data Scientist

Há 12 horas

Brasil beBeePersonalization Tempo inteiro US$120.000 - US$150.000
Recommendation Systems Leader

We're seeking a talented leader in recommendation systems to join our team. As a key member of our data-driven content and technology team, you'll be responsible for building and optimizing the recommendation systems that personalize user experiences at scale.

Key Responsibilities:
  • Design, deploy, and scale ML systems that power real-time recommendations across millions of user journeys.
  • Build and optimize data processing pipelines (Spark, Beam, Dask) with efficiency and reliability improvements.
  • Develop ranking algorithms that balance relevance, diversity, and revenue.
  • Deliver real-time personalization with latency < 50ms across key product surfaces.
  • Run statistically rigorous A/B tests to measure true business impact.
  • Optimize for latency, throughput, and cost efficiency in production.
  • Partner with product, engineering, and analytics teams to launch high-impact personalization features.
Requirements:
  • 7+ years building and scaling production ML systems with measurable business impact.
  • Experience deploying ML systems serving 100M+ predictions daily.
  • Strong background in ranking algorithms (collaborative filtering, learning-to-rank, deep learning).
  • Proficiency with Python and ML frameworks (TensorFlow or PyTorch).
  • Skilled with SQL and modern data warehouses (Snowflake, BigQuery, Redshift) plus data lakes.
  • Familiarity with distributed computing (Spark, Ray) and LLM/AI Agent frameworks.
  • Track record of improving business KPIs via ML-powered personalization.
  • Experience with A/B testing platforms and experiment logging best practices.
Competencies:
  • Technical Mastery: You know ML architecture, deployment, and tradeoffs inside out.
  • Experimentation Infrastructure: You set up systems for rapid testing and retraining (MLflow, W&B).
  • Impact-Driven: You design models that move revenue, retention, or engagement.
  • Collaborative: You thrive working with engineers, PMs, and analysts to scope features.
  • Analytical Thinking: You break down data trends and design rigorous test methodologies.
  • Ownership Mentality: You own your models post-deployment and continuously improve them.
  • Execution-Oriented: You deliver production-grade systems quickly without sacrificing rigor.
  • Curious & Innovative: You stay on top of ML advances and apply them to personalization.
Seniority level
  • Mid-Senior level
Employment type
  • Full-time

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