Senior Data Scientist

Remitly•Seattle, WA

1d•Remote

About The Position

Remitly’s vision is to transform lives with trusted financial services that transcend borders. Since 2011, we have been tirelessly delivering on our promises to people who send money around the world. Today, we are reimagining global financial services and building products that extend beyond traditional barriers to give customers access to more of the services they need, no matter where they call home. Join over 2,700 employees worldwide who are growing their careers with purpose and connection with our customers while having a positive impact on millions of people around the globe. About the Role: Under the supervision of the Engineering Manager, the Senior Data Scientist will serve as a core member of the data science team responsible for developing analytical models, machine learning algorithms, and data-driven insights to optimize customer acquisition, engagement, and profitability across the Company’s products. Telecommuting is available based on manager approval.

Requirements

Position requires a Master’s degree in Data Science, Business Analytics, Statistics, Computer Science, Information Science, Engineering or a related quantitative field and 2 years of experience with applying forecasting, measurement, and statistical and machine learning modeling techniques to solve business problems.
2 years of experience with gathering business requirements and translating them into data-driven, measurable solutions.
2 years of experience with performing statistical analyses to measure the impact of decisioning systems on key business metrics.
2 years of experience with developing and implementing measurement frameworks to evaluate model performance and business outcomes.
2 years of experience with developing dashboards to visualize data insights to resolve business problems.
2 years of experience with performing root cause analysis and designing business process flows.
2 years of experience with building prototypes and proof-of-concepts for new algorithms, model architectures, and data-processing approaches.
2 years of experience with enhancing and deploying predictive models and decisioning systems to optimize performance and scalability.
2 years of experience with using Airflow, Asana, AWS Glue, AWS Redshift, Azure, Big Data, Decision Trees, Git, Hypothesis Testing, K-Means, Linear Regression, Logistic Regression, Looker, MATLAB, Matplotlib, NumPy, Pandas, Power BI, Predictive Modeling, PySpark, Python, PyTorch, QuickSight, R, Random Forests, SAS, scikit-learn, Seaborn, Snowflake, SQL, Tableau, TensorFlow, VBA, and version control.

Responsibilities

Analyze and extract insights from large, complex datasets using statistical and computational techniques.
Apply data mining and feature engineering methods to prepare datasets for modeling and experimentation.
Design, develop, and test statistical and machine learning models to optimize marketing performance.
Develop and implement algorithms to support computation, scoring, and decision-making.
Build and enhance analytical infrastructure and frameworks that support scalable, automated model deployment and continuous learning, as well as metrics-based A/B testing.
Present the results of complex analytics and modeling projects to business and non-technical audiences in clear, actionable terms.