Remote Senior Full Stack Data Scientist

Summary

Join Syrup, an AI-powered inventory software company, as a Senior Full Stack Data Scientist. You will lead the development of forecasting algorithms for apparel, impacting millions of dollars in inventory. This role involves collaborating with a diverse team on a greenfield project, incorporating customer behavior and external data to enhance forecast accuracy. You will contribute to a fast-growing startup with a significant impact. The position requires proven experience in a fast-paced environment and deep technical expertise in machine learning and data handling. Syrup offers remote flexibility, equity compensation, comprehensive health benefits, generous PTO, and team summits.

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
• 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
• Deep technical expertise in: At least two mainstream machine learning libraries or frameworks like PyTorch, Tensorflow, scikit-learn, and XGBoost
• Deep technical expertise in: 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
• Deep technical expertise in: 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

Responsibilities

• 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

Preferred Qualifications

A focus on time series problems or demand forecasting

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
• Competitive base pay with salary of $130,000 - $200,000 based on location and commensurate with experience
• Generous early-stage equity package