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Full-Time

Senior Full Stack Data Scientist

Remote US

Confirmed live in the last 24 hours

Syrup

Syrup

11-50 employees

AI-driven inventory optimization solutions

Hardware
Enterprise Software
AI & Machine Learning
Consumer Goods

Compensation Overview

$130k - $200kAnnually

+ Equity Compensation

Mid, Senior

Remote in USA + 1 more

Category
Full-Stack Engineering
Software Engineering
Data & Analytics
Required Skills
Redshift
Python
Airflow
Data Science
Tensorflow
Data Structures & Algorithms
Apache Spark
Pandas
Data Analysis
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 specializes in developing an omni-channel decision support engine, leveraging advanced machine learning models for precise demand forecasting and probabilistic inventory optimizations. This focus on minimizing industry challenges such as excess inventory and overproduction through cutting-edge technology makes Syrup Tech an appealing place to work. The environment fosters continued learning and application of AI/ML, positioning its employees at the forefront of technological advancements in supply chain management.

Company Stage

Series A

Total Funding

$24.8M

Headquarters

New York City, New York

Founded

2020

Growth & Insights
Headcount

6 month growth

↑ 20%

1 year growth

↑ 112%

2 year growth

↑ 253%
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Simplify's Take

What believers are saying

  • Syrup's recent $17.5M Series A funding led by Accel Partners indicates strong investor confidence and potential for growth.
  • Early results show a 46% increase in forecast accuracy compared to major incumbents, highlighting the platform's effectiveness.
  • The company's AI-driven approach helps retailers reduce stockouts and wasted inventory, addressing a $250B problem in the apparel and footwear industry.

What critics are saying

  • The competitive landscape in AI-powered retail solutions is intense, requiring continuous innovation to maintain a competitive edge.
  • Dependence on accurate data integration from various sources could pose challenges in maintaining forecast accuracy.

What makes Syrup unique

  • Syrup leverages AI to provide highly granular inventory forecasts at the item x size x color level, surpassing traditional methods.
  • The platform integrates a unique mix of historical, transactional, and real-time data, offering a comprehensive approach to inventory optimization.
  • Syrup's focus on reducing overproduction and waste aligns with sustainability goals, setting it apart in the retail tech space.