Sensor Tower is seeking a Senior Machine Learning Engineer to join their Data Science organization, focusing on mobile and digital analytics. This role is at the forefront of mobile app market intelligence, working with various data sources and ML algorithms to create market estimates and insights.
The position offers an exciting opportunity to work with cutting-edge technology in the mobile analytics space, where you'll be responsible for developing and implementing machine learning models, creating metrics, and analyzing complex datasets. You'll be working in a collaborative environment, interfacing with various stakeholders including Data Scientists, Software Engineers, and product managers.
The ideal candidate brings 4+ years of experience in data modeling, machine learning, or quantitative analysis, with strong technical skills in Python, SQL, and statistical modeling. Educational background in Statistics, Applied Mathematics, Computer Science, or related fields (MS/PhD preferred) would be valuable.
What makes this role particularly attractive is the combination of technical challenges and business impact. You'll be working on products that serve as the gold standard for mobile app market intelligence, with the opportunity to shape the future of digital analytics. The position offers competitive compensation ($120,000-$150,000) and excellent benefits, including flexible time off and wellness stipends.
The hybrid work environment in New York allows for a balance between collaborative in-person work and remote flexibility. Sensor Tower's commitment to equal employment opportunity and inclusive work culture makes it an attractive destination for diverse talent looking to make an impact in the mobile analytics space.
This role would be perfect for someone who is passionate about data science and machine learning, enjoys solving complex problems, and wants to work with a company that's at the forefront of mobile market intelligence. The opportunity to work with large-scale data and implement solutions that directly impact the mobile app ecosystem makes this an exciting position for ambitious ML engineers.