About Syrup
In a world marked by profound supply chain disruptions, comprehensive omni-channel networks, and consumers focused on sustainability, there is a growing need for advanced inventory systems.
That's why we're developing Syrup, an AI-powered predictive software for inventory decisions in commerce. By utilizing more real-time data, we provide merchandising and planning teams with allocation, ordering, and planning recommendations.
Our objective is for commerce to no longer be a wasteful industry, as our intelligent platform enables inventory excellence at each step of the value chain.
We're financially supported by Google's AI fund (Gradient Ventures), as well as previous executives from Adidas, Zalando, ASOS, Reebok, Bonobos, Salesforce, ThredUp, and Stripe. We're collaborating with rapidly growing brands including Faherty, Reformation, and Desigual.
About The Role
We are seeking a highly proficient Data Scientist, Analytics who enjoys making deep dives into data to disclose valuable insights and thrives in a swift, data-driven context. Here, you will play a crucial role in backing data-driven decision-making by examining extensive and complicated datasets, producing actionable reports, and providing useful insights to key stakeholders.
You Will
Question the status quo, and facilitate data led decision-making. Conduct thorough analysis of data to identify trends, opportunities, and issues across all sectors of our business. Develop and maintain product performance dashboards, reports, and analytics tools that provide insights into key performance indicators and assist business decision-making. Collaborate with cross-functional teams to identify and prioritize business opportunities based on data-driven insights and recommend suitable metrics for performance measurement. Develop and implement product testing strategies to inform product development decisions and shape business choices based on insights and trends. Manage the entire data lifecycle, including data collection, processing, and utilizing insights to make informed decisions. Define and cultivate best practices in analytics instrumentation and experimentation.
You Have
A Bachelor's degree in Mathematics, Statistics, Computer Science, or a related field. A minimum of 5 years of experience in data analysis, business intelligence, product management, or a related field. Strong analytical skills with experience in SQL, Python, and/or R. Experience working with large and complex datasets. A highly analytical mindset with strong attention to detail and an inquisitiveness to investigate data and discover insights. A highly motivated, results-oriented individual who enjoys working in a high-paced environment and can deliver successful outcomes with little guidance. Strong business acumen with the ability to understand and analyze commercial opportunities. Excellent communication skills with the capability to clearly present complex data insights to non-technical stakeholders.
It would be advantageous if you have some experience with data visualization tools such as Tableau or Power BI. Experience working in an agile development environment is a plus. Experience with big data technologies like Hadoop or Spark is a plus.
What We Offer
Fun, friendly, respectful, collaborative, diverse, driven, mission-oriented – that's Syrup. We're a group of motivated individuals who aspire to change the world by creating groundbreaking software. We deeply care about people, the planet, and the product. Specifically, we offer:
Remote Flexibility: We're a remote-first team spanning Europe and North America. For our colleagues in New York, you can come to our office in SoHo at your discretion.
Equity Compensation: We provide generous equity compensation for all our early employees.
We offer generous health, vision, and dental benefits to our employees.
Abundant PTO to take the time off when you need it.
Syrup summits: We bring together the whole global team once per quarter at our Syrup summits. Previous locations include Barcelona, Los Angeles, Warsaw, Boston, and New York.
Our competitive base pay is within the NYC salary range of $80,000 - $150,000, and we offer a similar competitive range in other locations. Salary is in accordance with experience, generous initial-stage equity package, and benefits such as medical, dental, and vision insurance.