Description :

What Youll 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 :

1. Enhance customer experiences

2. Boost revenue

3. Power user-to-user discovery (matchmaking at scale )
4. 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 Were 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.

Good to have :

- Experience with big data platforms : Hadoop, Spark, Hive, Pig.

- Extra love if youve played with BI tools like Tableau or Looker.