Data Scientist

April 26

Reverse Tech

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We create, launch, and scale digital product brands in the health and wellness space.

11 - 50

Description

• Develop machine learning models for finance-related metrics, including Customer Lifetime Value forecasting. • Build predictive models to understand and forecast user behavior related to subscription management, such as churn prediction, upgrade propensity, and upsell opportunities (experience in BigQueryML is a plus). • Conduct exploratory data analysis to understand patterns and trends in financial and user behavior data. • Evaluate model performance and iterate on models to improve accuracy, scalability, and interpretability. • Communicate findings and recommendations to stakeholders through clear and concise presentations and documentation.

Requirements

• Advanced degree (Master's or Ph.D.) in Computer Science, Statistics, Mathematics, Economics, or a related field. • Proven experience as a Data Scientist with a focus on finance-related machine learning models, preferably in a subscription-based industry. • Strong proficiency in Python for machine learning, with experience using libraries such as sci-kit-learn, TensorFlow, or PyTorch. • Experience with BigQueryML for model development, deployment, and integration within the BigQuery ecosystem. • Strong analytical and problem-solving skills, with the ability to manipulate and analyze large, complex datasets.

Benefits

• 100% remote and flexible work hours • Full-time job • Learning from the best, including ex-Googlers and more • Unlimited growth prospects • Inclusion in a winning team • Competitive compensation • A fun, non-corporate atmosphere