Full-Time

Senior Full Stack Data Scientist

Confirmed live in the last 24 hours

Syrup

Syrup

51-200 employees

AI solutions for apparel demand forecasting

Enterprise Software
AI & Machine Learning
Consumer Goods

Compensation Overview

$130k - $200kAnnually

+ Equity Compensation + Medical Benefits + Dental Benefits + Vision Benefits

Senior

Remote in USA

Category
Full-Stack Engineering
Software Engineering
Data & Analytics
Required Skills
Redshift
Python
Tensorflow
Pytorch
Apache Spark
Pandas
Databricks
Snowflake
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
  • Deep technical expertise in 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.
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.

Syrup.Tech provides AI-powered solutions specifically designed for the apparel and footwear industry, focusing on demand forecasting and optimization. Their platform analyzes demand signals to offer intelligent recommendations that help brands improve their planning, allocation, and purchasing processes. This approach enables clients to enhance their profit margins and stimulate growth. Syrup.Tech operates on a software-as-a-service (SaaS) model, generating revenue through subscription fees. What sets Syrup.Tech apart from its competitors is its specialized focus on the apparel and footwear sectors, allowing for tailored solutions that address the unique challenges faced by these industries.

Company Stage

Series A

Total Funding

$24.1M

Headquarters

New York City, New York

Founded

2020

Growth & Insights
Headcount

6 month growth

↑ 0%

1 year growth

↑ 8%

2 year growth

↑ 8%
Simplify Jobs

Simplify's Take

What believers are saying

  • Syrup Tech raised $17.5M in Series A funding led by Accel Partners.
  • The VN1 Forecasting Challenge fosters innovation in AI-driven supply chain forecasting.
  • Increased AI adoption in inventory management reduces stockouts and overproduction.

What critics are saying

  • Competition from Flieber and SupChains may impact Syrup Tech's market share.
  • Continuous AI advancements require costly updates to maintain competitive advantage.
  • Economic downturns could reduce spending on SaaS solutions like Syrup Tech's.

What makes Syrup unique

  • Syrup Tech uses AI for precise demand forecasting in apparel and footwear.
  • Their SaaS platform integrates real-time, historical, and transactional data for optimization.
  • Syrup Tech's granular forecasts improve inventory sell-through and reduce overproduction.

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Benefits

Remote Work Options

Equity Compensation

Health Insurance

Unlimited Paid Time Off