What You'll Do
- Partner with Product teams to spot opportunities where data can fuel innovation.
- Preprocess massive structured & unstructured datasets to uncover hidden trends & patterns.
- Build custom models & algorithms from scratch, applying predictive modeling to :
- Enhance customer experiences
- Boost revenue
- Power user-to-user discovery (matchmaking at scale )
- Detect & block fraudsters
- Collaborate with Engineering to deploy your models into real-world matchmaking experiences.
- Build tools & processes to monitor model performance and ensure data accuracy.
What We're Looking For
3-5 years of Data Science & ML experience in consumer internet / B2C products.Degree in Statistics, Computer Science, or Engineering (or certification in Data Science).Machine Learning wizardry : recommender systems, NLP, user profiling, image processing, anomaly detection.Statistical chops : finding meaningful insights in large data sets.Programming ninja : R, Python, SQL + hands-on with Numpy, Pandas, scikit-learn, Keras, TensorFlow (or similar).Visualization skills : Redshift, Tableau, Looker, or similar.A strong problem-solver with curiosity hardwired into your DNA.Brownie Points
Experience with big data platforms : Hadoop, Spark, Hive, Pig.Extra love if you've played with BI tools like Tableau or Looker.Skills Required
Machine Learning, Recommender Systems, Tableau, Redshift, Sql, Tensorflow, anomaly detection, user profiling, Numpy, Nlp, Pandas, Image Processing, Keras, Python