Machine Learning Engineer

Latent View Analytics is one of the world’s largest and fastest-growing digital analytics firms.

We help companies drive digital transformation by helping them combine digital and traditional data to gain a competitive advantage. Latent View provides a 360-degree view of the digital consumer, enabling companies to predict new revenue streams, anticipate product trends and popularity, improve customer retention rates, and optimize investment decisions.

Key Responsibilities

• Tooling: Proficiency in Python or R and expert-level SQL (Snowflake/BigQuery experience is a plus).
• Predictive Modeling: Proven experience with survival analysis, logistic regression, or gradient-boosted trees (XGBoost/LightGBM) specifically applied to subscription or recurring revenue models.
• Develop and deploy interactive web applications using Streamlit
• Build, train, and optimize machine learning models
• Work with large datasets for data cleaning, analysis, and feature engineering
• Integrate ML models into Streamlit apps for real-time predictions

EEO Statement

*“At Latent View Analytics LLC, we value a diverse, inclusive workforce and we provide equal employment opportunities for all applicants and employees. All qualified applicants for employment will be considered without regard to an individual’s race, color, sex, gender identity, gender expression, religion, age, national origin or ancestry, citizenship, physical or mental disability, medical condition, family care status, marital status, domestic partner status, sexual orientation, genetic information, military or veteran status, or any other basis protected by federal, state or local laws. If you are unable to submit your application because of incompatible assistive technology or a disability, please contact us at usrec@latentview.com. LatentView Analytics LLC will reasonably accommodate qualified individuals with disabilities to the extent required by applicable law.”*