Senior Full Stack Data Scientist - Remote US
August 26, 2023
Description
• Lead the development of forecasting algorithms that power decision-making systems moving millions of dollars of inventory around the world. • Collaborate on a predominantly greenfield project, leveraging your expertise to drive innovation and deliver value. • Partner with product managers, other data scientists, and engineers to identify new opportunities for incorporating 1st-party customer behavior signals and 2nd-party data to further enhance forecast accuracy. • Contribute to a fast-growing startup, where your ideas and contributions will have a direct and meaningful impact. • Be part of a dynamic and diverse team that values collaboration, creativity, and pushing the boundaries of what's possible. • Play a pivotal role in building intuitive and predictive software that will redefine decision-making processes in the industry.
Requirements
• Proven experience in a fast-paced startup environment, successfully building new systems from prototype to production. • Collaborative mindset, able to work with customers, partners, Customer Success, Product, Engineering, and Analytics teams. • Demonstrated pragmatic technical judgment in selecting machine learning algorithms and adapting them to solve real world problems. (Bonus: a focus on time series problems or demand forecasting) • Ability to start small and incrementally extend the data science platform while improving scalability and performance. • Proven commitment to operational excellence, ensuring the smooth operation of an always-on, always-shipping SAAS product. • 4+ years of experience as a Data Scientist • At least two mainstream machine learning libraries or frameworks like PyTorch, Tensorflow, scikit-learn, and XGBoost. • Handling data of all shapes and sizes. A dataset’s size or format doesn’t stop you from being able to build quick POC’s or robust pipelines. • Scaling and monitoring complex machine learning pipelines that involve dozens of models and millions of business-critical predictions each week. • Experience in optimizing data models and access patterns for modern warehouse and orchestration platforms such as Snowflake, Redshift, Databricks, Spark, DBT, Apache Airflow, and Prefect. • Proficiency in Python, Pandas, and working with columnar formats like parquet. • Significant mathematics background including statistics and probability.
Benefits
• Remote Flex: We’re a remote first team across Europe and East Coast North America. For our colleagues in New York, you can come into our office in SoHo as often as you like. • Equity Compensation: We offer generous equity compensation for all our early employees. • Health, dental, vision: We offer generous health, vision, and dental benefits to our employees. • Generous PTO to take the time you need, whenever you need it. • Syrup summits: We bring the whole global team together every quarter for our Syrup summits. Previous locations: Barcelona, Madrid, Los Angeles, Warsaw, Boston, New York.
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