Machine Learning Engineer
Description For Machine Learning Engineer
Sensor Tower, the gold standard for mobile app market and first-party data analytics, is seeking a Machine Learning Engineer to join their Data Science organization. The role focuses on leveraging various data sources, ML algorithms, AI, and data science methodologies to create market estimates and insights for mobile apps and publishers. The position offers a flexible work environment and competitive compensation ranging from $120,000 to $150,000 annually.
The ideal candidate will have 4+ years of experience in data modeling and quantitative analysis, with strong expertise in Python, SQL, and statistical modeling. They will work on developing and optimizing machine learning models, creating metrics, and implementing data pipelines while collaborating with cross-functional teams across multiple time zones.
This is an excellent opportunity for someone passionate about data science and mobile analytics, offering the chance to work on cutting-edge problems in the digital economy. The role combines technical expertise with business impact, requiring both strong analytical skills and the ability to communicate effectively with various stakeholders.
Sensor Tower provides a comprehensive benefits package including flexible time off, health and wellness stipends, and remote work support. The company values diversity and maintains an inclusive work environment, supporting employees in maintaining work-life balance while contributing to innovative solutions in the mobile analytics space.
Responsibilities For Machine Learning Engineer
- Work with stakeholders to gather requirements and refine product concepts
- Support advanced customer requests
- Create, customize, and optimize models, metrics, and implementation pipelines
- Write tests for implementation of machine learning models
- Develop core products for Sensor Tower
- Identify relationships within large datasets
- Analyze public data for current and future projects
- Work with cross-functional teams to deliver high quality data products
- Identify performance bottlenecks and provide optimization solutions
- Create quality indicators and diagnostics tools
- Communicate with teams across multiple time zones, countries, and job functions
Requirements For Machine Learning Engineer
- 4+ years experience in business intelligence, data modeling, machine learning algorithm development, or quantitative analysis
- Strong data science and machine learning engineering skills
- Knowledge of Python or R, Jupyter, SQL
- Knowledge of common statistical modeling techniques
- Experience with data visualization and dashboard tools (Tableau)
- Strong presentation skills
- Flexible mindset and ability to prototype quickly
- MS or PhD in Statistics, Applied Mathematics, Computer Science, Econometrics, Computational Biology or related field preferred
Benefits For Machine Learning Engineer
- Flexible time off
- Health and wellness stipend
- Monthly internet stipend
- One-time $500 home office stipend
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