Lead Data Scientist
San Francisco, Ca, Us
* Humin acquired by Tinder in 2016 *- Joined as the 7th member of technical staff and built out a team of data scientists and data engineers to address everything from tracking and infrastructure to data products and unsupervised learning models.- Developed A/B testing protocols and infrastructure to test behavioral response to new features in a network setting (graph cluster randomization, etc.).- Built general analytics, monitoring, and self-serve reporting platforms to inform business development and product decisions (engagement, retention, virality, etc.).- Utilized social network analysis techniques to model personal and professional relationship networks to inform intuitive communication interfaces.Data science leader with deep experience designing and executing quantitative and qualitative analysis of user behavior: - statistical modeling and factor analysis- A/B testing protocols and data interpretation- data visualization / communication of results in presentations, white papers, etc.- machine learning techniques (GLMs, neural networks, boosted trees, GANs, etc.)- survey design, user testing, and targeted / expert focus groups- mobile and web development / scripting for collection and analysis of user interaction data- intellectual property strategy and patent draftingSpecific Tools & Techniques:Utilization of novel data processing tools and languages for large scale data analytics (Python, R, SQL, Spark / PySpark, TensorFlow, PyTorch, Postgres, Airflow, Storm-Kafka, Hive, AWS EC2 / EMR / Lambda / Kinesis / Redshift / DynamoDB, Tableau, Gephi, etc.).Skilled at implementation of accurate statistical models / machine learning methodologies (logistic regression, factor analysis, decision trees [gradient boosted, RF ensemble], clustering [k-means], Bayesian [logistic and naive], Hidden Markov, Linear Discriminant Analysis, Natural Language Processing, Support Vector Machines, Conjoint Analysis, Significance Testing, etc.)
