Data Scientist

Tasks

• Perform hands-on data analysis and modeling on large datasets.
• Apply data mining, NLP, and supervised/unsupervised machine learning to improve relevance and personalization algorithms.
• Collaborate with Product Managers, Software Engineers, and Designers to develop experiments and minimum viable products (MVPs).
• Identify, access, extract, clean, and transform data through hands-on ETL.
• Engineer and optimize features to improve model performance.
• Design and execute A/B tests, perform statistical analysis, and measure the impact of optimizations.
• Communicate analytical findings and recommendations to technical and non-technical stakeholders.
• Explore emerging technologies and identify opportunities to improve customer experiences.

Requirements

• 4+ years of industry experience in Data Science and Machine Learning.
• BS, MS, or PhD in Computer Science, Statistics, Applied Mathematics, Operations Research, or a related technical field.
• Strong Python programming skills with scikit-learn.
• Proficiency in SQL, Hive, SparkSQL, or similar technologies.
• Hands-on experience with statistical modeling and applied machine learning, including: Classification and Regression, Decision Trees and Neural Networks, Recommender Systems, Sequential Pattern Discovery, Text Mining and NLP.
• Experience with Deep Learning and embedding-based representations for NLP, language understanding, recommendation, and personalization.
• Strong analytical, problem-solving, a

Schedule

• Hybrid – 3 days onsite

Location

• Oakland, Mountain View (MTV), or San Diego, CA