Sensor Tower: Full Stack Data Scientist

Company: Sensor Tower
Location: Austin
Posted on: November 19, 2021

Job Description:

Quick Intro to Sensor TowerSensor Tower is a high-growth SaaS company that provides accurate, comprehensive, and customizable mobile market economy analytics to app developers, marketers, and industry analysts across gaming, travel & hospitality, music, finance, broadcast entertainment. We serve a wide range of clients from early-stage mobile innovators to industry-leading Fortune 500 companies.As a high-integrity source of industry insight, Sensor Tower is regularly cited by the world's leading news and finance publications, including the Wall Street Journal, The New York Times, Forbes, Fortune, Bloomberg, CNBC, The Washington Post, and Reuters. After seven years of building Sensor Tower from a $1M seed investment, we received a $42M growth investment from Riverwood Capital in 2020!Role Summary:Data Scientists at Sensor Tower are hybrid data scientists and software engineers. You would take data all the way from doing initial analysis to building data pipelines to final model implementation and monitoring. Data Scientists take full ownership of the back-end of the products they're working on.We are looking for a hands-on thinker to help harvest new insights from our constantly growing foundation of quantitative information collected from the mobile app ecosystem.ResponsibilitiesPrototype machine learning models in Python or RubyWork with MongoDB and analyze query performance to ensure calculation efficiencyWrite tests for the implementation of machine learning modelsCollaborate with back-end engineers to understand the raw data being collectedCollaborate with front-end engineers to create data visualizations for both external and internal customersConduct ad-hoc data analysis based on requests from the Sales, CSM or Contents teamPresent results of various data analysisRequirementsMaster's degree or above in mathematics, statistics, or computer science3+ years applied experience in business intelligence, data mining, analytics, or statistical modeling in technology or mobile industries OR 2+ years applied experience in data science in mobile market intelligenceAbility to write code that is ready for production (Python and Ruby preferred)Experience with adjusting data for biasSubstantial experience with databases, querying data, and data structure manipulationAbility to communicate effectively with technical developers and non-technical marketing business partnersAbility to produce rough timelines for deliveries plus solid understanding of steps necessary to complete a projectAbility to come up with a rough project structure from scratchAbility to critically analyse given data, ask probing questions, and perform own researchSubstantial knowledge of statistical modeling techniquesMastery of one or more statistical visualization or graphing toolkits such as Excel, Jupyter Notebooks, or Google SpreadsheetsWhat is it like working at Sensor Tower?Sensor Tower's flexible work environment allows employees to choose how much they want to work remotely or in an office. We offer flexible time off so employees can shape their time away from the office. Our model allows employees to live in greater connection with the people, traditions, places, and activities they love while contributing to their team!Sensor Tower provides fair and competitive compensation packages that honor the investment our team members make each day. To support health and wellbeing, we offer industry-standard benefits and additional perks that our employees love. This includes stipends for office and/or gym setup, home internet, and daily meal delivery.We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, and veteran status. In support of the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records. If you have a disability or special need, please do not hesitate to let us know and we'll do our best to accommodate.Interested in learning more? Submit your info and let's get a conversation going!

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