We are seeking an outstanding data scientist interested in working in the hot space of app store data and analytics to join the rapidly growing Data Science team at App Annie. App Annie is pioneering the development of app store analytics on an unprecedented scale, and we need self-driven and motivated performers to join our stellar team. Using advanced data modeling techniques drawn from fields such as statistics, operations research and machine learning, together with incomparable App Annie proprietary data collected from iOS, Android and other platforms, your role is to discover trends, uncover app store application evaluation methodologies, and provide accurate market estimates based on these data. Working closely with Product Management, Engineering and other Data Analysts, you will play a key role helping to drive the creation and delivery of a new generation of exceptional App Annie products, and building and evolving our existing market-leading flagship offerings.
- Gather requirements from Product Managers, and work with Product Management to refine product concepts and implement the data modeling needed to turn them into reality
- Support advanced customers requests
- Develop the heart of App Annie’s products, current and future
- Create and customize App Annie models and metrics
- Identify relationships within large and seemingly unrelated data
- Analyze public data that could be used to complement current and future projects
- Understand the entire App Annie system from a data point of view
- Deliver robust high quality data products
- Identify performance bottlenecks and provide optimization solutions
- Create quality indicators and diagnostics tools
- A passion for everything to do with data and already have top-level experience working in data modeling and quantitative analysis
- An ability to solve challenging problems and provide innovative practical solutions quickly and efficiently
- 5 years work experience, including at least 2 years performing data modeling and quantitative analysis, preferably for Internet or technology companies. Experience in financial or medical industries can also be helpful
- Excellent data mining skills, including a working knowledge of several of the following statistics packages and languages: Python including scikit-learn, Jupyter, “R”, SPSS, SAS, Matlab, Mathematica. Analytics databases: Vertica, Sybase IQ, Hadoop, SQL, Hive
- A proficiency with Linux OS
- Experience with data visualization and dashboard tools is a plus: Tableau Software, Pentaho, Business Objects.
- MS or PhD preferred in Statistics, Applied Mathematics, Computer Science, Econometrics or related field
- A passion for digital content and mobile apps is a definite plus
- The authorization to work in the U.S.
Perks and benefits:
- Competitive compensation.
- All the tech tools you need to succeed: a new smartphone and Mac laptop.
- Daily catered lunches, snacks, fruit, good coffee and other stuff to help you get through the day.
- A beautiful office located in the heart of downtown SF within walking distance of the Montgomery BART station and other public transportation routes.
- A 401(K) plan to help you plan for your future.
- Great health, dental and vision insurance packages to fit your needs to ensure you’re happy and healthy.
- A yearly fitness stipend will keep you up and moving.
- Commuter benefits that make getting to and from work a breeze.
- Employee referral bonuses so you’ll get the opportunity to work with friends (and get some extra cash in your pocket!).
About App Annie:
App Annie is the industry’s most trusted mobile data and analytics platform. The company created the mobile app data market and has been fueling world-class, mobile-first businesses since 2010. App Annie’s mission is to power B2C companies’ mobile transformation and enable clients to deliver winning consumer experiences. More than 1,000 enterprise clients and 1 million registered users across the globe and spanning all industries rely on App Annie as the gold standard to revolutionize their mobile business. The company is headquartered in San Francisco with 11 offices worldwide.