Data Scientist (Remote)
VerisartSalary not specified
- Full Time
- Junior (1 to 2 years)
Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Data & Analytics, Consumer GoodsIndustries
Requirements
Candidates must have proven experience in a fast-paced startup environment, successfully building new systems from prototype to production. A collaborative mindset is essential for working with customers, partners, and various teams including Customer Success, Product, Engineering, and Analytics. Demonstrated pragmatic technical judgment in selecting machine learning algorithms and adapting them to solve real-world problems is required, with a bonus for experience focused on time series problems or demand forecasting.
Responsibilities
The Senior Full Stack Data Scientist will lead the development of forecasting algorithms that power decision-making systems for inventory management. They will collaborate on a predominantly greenfield project, leveraging their expertise to drive innovation and deliver value. The role involves partnering with product managers, other data scientists, and engineers to identify new opportunities for enhancing forecast accuracy using customer behavior signals and additional data sources. Additionally, they will contribute to a fast-growing startup, ensuring that their ideas and contributions have a direct and meaningful impact.
Skills
Machine Learning
Forecasting
Time Series Analysis
Demand Forecasting
Algorithm Selection
Python
Data Analysis
Collaboration
Problem-Solving
Syrup
AI platform for personalized customer communication
About Syrup
Syrup.io enhances customer communication for SaaS companies by using AI technology to automate and personalize interactions. The platform employs predictive analytics to identify user behaviors, such as activity levels and risks of customer churn, allowing businesses to engage with customers at optimal times. Syrup.io offers pre-built communication workflows, called "drips," that automate personalized messaging, along with features like "Bespoke Recipes" and "Predictive Audiences" for targeted campaigns based on user data. The company operates on a subscription model, providing a free trial for early adopters to attract users and gather feedback. Syrup.io's goal is to improve customer relationship management by enabling SaaS companies to create tailored campaigns and gain insights into user journeys, ultimately increasing customer retention and revenue.
Key Metrics
Cleveland, OhioHeadquarters
2022Year Founded
$3.2MTotal Funding
SEEDCompany Stage
Enterprise Software, AI & Machine LearningIndustries
1-10Employees