Machine Learning Engineer

About the position

We are seeking an outstanding Machine Learning Engineer interested in working in the hot space of mobile and digital analytics to join the Data Science organization at Sensor Tower. Sensor Tower is the gold standard for the mobile app market and first party data, leveraging a variety of data sources, machine learning algorithms, artificial intelligence, data science methodologies, and software engineering to create market estimates, market insights, and other KPI's for mobile apps and publishers and beyond. We need self-driven and motivated performers who can take full ownership of the products they work on to join our stellar team.

Responsibilities

• Working with stakeholders to gather requirements, refine product concepts, and implement the data modeling and algorithm development needed to turn them into reality.
• Supporting advanced customer requests.
• Helping create, customize, and optimize model, metrics, and implementation pipelines.
• Writing tests for implementation of machine learning models.
• Developing the heart of Sensor Tower's products, current and future.
• Creating and customizing Sensor Tower models and metrics.
• Identifying relationships within large and seemingly unrelated data.
• Analyzing public data that could be used to complement current and future projects.
• Understanding the entire Sensor Tower system from a data point of view.
• Working with other Machine Learning Engineers, Data Scientists, Data Analysts, and Software Engineers to deliver high quality data products.
• Identifying performance bottlenecks and providing optimization solutions.
• Creating quality indicators and diagnostics tools.
• Communicating well and clearly with teams and team members across multiple time zones, countries, and job functions.
• Helping establish cross-functional interactions to increase efficiency of successful deliverables.

Requirements

• A passion for everything to do with data and already have top-level experience working in data modeling and quantitative analysis.
• 4+ years experience performing business intelligence, data modeling, machine learning algorithm development, or quantitative analysis.
• An ability to solve challenging problems and provide innovative practical solutions quickly and efficiently.
• Excellent data science and machine learning engineering skills, including a working knowledge of statistics packages and languages (eg. Python or R, Jupyter, SQL), knowledge of common statistical modeling techniques, and the ability to critically analyze data with probing questions and individual research.
• Experience with data visualization and dashboard tools is a plus, such as Tableau Software.
• Strong presentation skills. Comfortable explaining data solutions in a business context to multiple stakeholders, e.g. product managers, senior management, etc.
• Flexible mindset and the ability to prototype and change direction rapidly as research evolves.
• A strong drive to continue learning and developing.

Nice-to-haves

• 3+ years work experience performing business intelligence, data modeling, machine learning algorithm development, quantitative analysis for Internet or technology companies. (Experience in financial or medical industries can also be helpful).
• MS (PhD preferred) in Statistics, Applied Mathematics, Computer Science, Econometrics, Computational Biology or related field.
• A passion for digital content and mobile apps.
• Experience with software engineering and writing production-level code.
• Experience working with mobile market intelligence data.
• Experience with big data frameworks using Spark.

Benefits

• Flexible time off so employees can shape their time away from work.
• Health and wellness stipend to achieve and maintain a healthy lifestyle through physical and mental fitness.
• Monthly internet stipend and a one-time $500 home office stipend.