Join a consumer product data science team using data foundations, metrics, experimentation, and advanced modeling to guide product growth. Partner with product managers, engineers, and data scientists to identify opportunities, create data products, and turn complex analysis into high-impact decisions.
Responsibilities:
- Design and apply data science solutions for consumer product teams.
- Create data assets, self-service tools, and reporting dashboards.
- Analyze large datasets to identify trends, patterns, and strategic insights.
- Define product metrics and translate requirements into data science solutions.
- Develop models and methods for anomaly detection, prediction, and pattern recognition.
- Communicate recommendations that shape product direction.
Requirements:
- Five or more years of data science, machine learning, or related experience.
- Advanced SQL and Python skills.
- Strong knowledge of statistical modeling, machine learning, causal inference, and experimental design.
- Experience processing and analyzing large-scale data with Spark, Hadoop, or Hive.
- Strong product sense and communication skills with cross-functional partners.
- BS, MS, or PhD in Computer Science, Statistics, Mathematics, or a related field.
Nice to have: Experience in consumer technology; BigQuery; R, scikit-learn, TensorFlow, or PyTorch.
Working conditions: Remote; preferably overlap with the full PST time zone. Target start date: ASAP.