Remote Senior Full Stack Data Scientist - Remote UK/EU

Description:

• As a Senior Full Stack Data Scientist, you will be an integral part of the core team at Syrup, driving the development of a 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.
• You will lead the development of forecasting algorithms that power decision-making systems moving millions of dollars of inventory around the world.
• You will 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 enhance forecast accuracy.
• You will play a pivotal role in building intuitive and predictive software that will redefine decision-making processes in the industry.

Requirements:

• You must have proven experience in a fast-paced startup environment, successfully building new systems from prototype to production.
• A collaborative mindset is essential, as you will work with customers, partners, Customer Success, Product, Engineering, and Analytics teams.
• You should demonstrate pragmatic technical judgment in selecting machine learning algorithms and adapting them to solve real-world problems, with a bonus for a focus on time series problems or demand forecasting.
• You must have the ability to start small and incrementally extend the data science platform while improving scalability and performance.
• A proven commitment to operational excellence is required, ensuring the smooth operation of an always-on, always-shipping SAAS product.
• You should have 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 is necessary.
• You must be capable of handling data of all shapes and sizes and building quick POCs or robust pipelines.
• Experience in scaling and monitoring complex machine learning pipelines that involve dozens of models and millions of business-critical predictions each week is required.
• You should have experience 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 is essential.
• A significant mathematics background including statistics and probability is required.

Benefits:

• Syrup offers a remote-first work environment across Europe and East Coast North America, with the option for New York colleagues to work from the SoHo office as desired.
• Generous equity compensation is provided for all early employees.
• Employees receive comprehensive health, dental, and vision benefits.
• A generous PTO policy allows employees to take the time they need, whenever they need it.
• The company hosts quarterly Syrup summits, bringing the global team together in various locations such as Barcelona, Madrid, Los Angeles, Warsaw, Boston, and New York.
• Competitive base pay ranges from $90,000 to $200,000 based on location and experience, along with a generous early-stage equity package and benefits including medical, dental, and vision coverage.