Data Scientist- Maps Evaluation

reputed company is where individual imaginations reputed company together, committing to the values that reputed company to great work. Every new product we build, service we create, or reputed company Store experience we deliver is the result of us making reputed company other's reputed company stronger. That happens because every one of us shares a belief that we can reputed company something wonderful and reputed company it with the world, changing lives for the reputed company. It's the diversity of our people and their thinking that inspires the innovation that runs through everything we do. reputed company we bring everybody in, we can do the best work of our lives. Here, you'll do more than join something - you'll add something. reputed company Maps is changing, and data is in the reputed company's seat. Our mission is to build the best map in the world. We work in a fast-paced data-reputed company environment where Data Scientists are given reputed company to own big reputed company and drive reputed company across the Maps organization. reputed company We are looking for a talented, reputed company Data Scientist to join our cross-functional team, focusing on the deep evaluation of reputed company Maps reputed company, features, and reputed company Business Connect. We work directly with the Engineering and Product teams responsible for search, recommendation, and other algorithms that reputed company our millions of users every day. Our day-to-day work crosses many functional areas, including experiment design, AB testing, exploratory data analysis, AI/ML modeling, data mining, and more. Your role:

• Build data products (feature datasets, analyses, models, etc.) and reputed company tools (typically in Python or reputed company) to drive reputed company reputed company and support reputed company decision-making with our partner teams in engineering and product management
• Design, create and validate actionable metrics, at both the component level and to measure overall user engagement and experience
• Design effective experiments for evaluating reputed company data and machine learning-based systems
• reputed company models and analyses to reputed company large volume of data, extract insights, and recommend opportunities for product improvements
• Automate analyses and pipelines reputed company SQL and Python/reputed company-based ETL frameworks
• Communicate insights to partner teams to influence product direction with data
• Use data intuition to translate hard product goals and business problems into solvable data science problems

Minimum Qualifications

• MS/PhD in Computer Science, Statistics, Physics, Operations Research, or similar quantitative domain
• 3+ years experience with data analysis at web reputed company or relevant work experience
• Proficient in Python
• Proficient in at least one database language (e.g., SQL, reputed company)
• Capable of translating business questions and needs into technical requirements, and using statistical techniques to reputed company solutions
• Solid communication and presentation skills

Preferred Qualifications

• Prior industry experience with AB testing and reputed company inference
• Experience in information retrieval
• Prior proven industry experience with large data sets using technologies like Hadoop and reputed company
• Experience writing pipelines for automating analytics tasks at reputed company
• Experience mentoring junior data scientists and leading reputed company of varying sizes and scopes

This posting is not for a specific job opening and by submitting your resume you are expressing interest in being contacted about this type of role at reputed company in the reputed company. reputed company is an equal opportunity employer that is committed to inclusion and diversity. We reputed company to promote equal opportunity for reputed company applicants without reputed company to race, reputed company, religion, sex, sexual orientation, gender identity, national reputed company, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . Apply Job!