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🌍 In a world with deep supply chain disruptions, true omni-channel networks, and sustainability-minded consumers, there is a need for next-generation inventory systems.
🍯 That’s why we are building Syrup, an AI-powered predictive software platform for inventory decisions in commerce. Our team of data scientists develops cutting-edge forecasting methodologies to deliver market-leading precision and accuracy. Merchandising and planning teams benefit from buying, allocation, and inventory balancing workflows that increase confidence and improve financial outcomes.
🚀 Our mission is to create a world where enterprises make the best use of their scarce physical resources and time, strengthened by infinite intelligence at every step in the value chain.
👔 We're backed by leading investors, including Accel and Google's AI fund (Gradient Ventures). Our customers range from industry legends to promising upstarts, including Gap, Abercrombie & Fitch, Salomon, Faherty, and Reformation, among others.
About The RoleAs a Senior Full Stack Data Scientist, you will be an integral part of our core team, driving the development of our groundbreaking demand forecasting engine for apparel. This role offers a unique opportunity to contribute to a predominantly greenfield project in a fast-growing, machine-learning startup. You will collaborate closely with a dynamic and diverse team of data scientists, software engineers, business experts, and visionaries.
In this critical function, you will play a key role in revolutionizing how inventory decisions are made for apparel brands and retailers. Join us on our mission to empower 100x better decision-making through the creation of intuitive and predictive software!
You WillLead 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.
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.
Fun, friendly, respectful, collaborative, diverse, driven, mission-oriented — that’s Syrup! We're a group of driven people who want to make a difference in the world by building game-changing software. We care deeply about people, planet, and product. Concretely, we offer:
Remote Flex: We’re a remote first team across Europe and 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: Take all the time you need, whenever you need it.
Syrup Summits: We bring teams together every quarter for our Syrup summits. Previous locations: Barcelona, Tuscany, Madrid, Los Angeles, Nashville, Boston, New York.
We offer competitive base pay with salary of $130,000 - $180,000 based on location and commensurate with experience, generous early-stage equity package, and benefits including medical / dental / vision.
