Senior Full Stack Data Scientist - Remote US at Syrup

United States

Syrup Logo
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

Skills

Key technologies and capabilities for this role

Machine LearningForecastingTime Series AnalysisDemand ForecastingAlgorithm SelectionPythonData AnalysisCollaborationProblem-Solving

Questions & Answers

Common questions about this position

Is this position remote?

Yes, this is a remote position available to US candidates.

What is the salary for this role?

This information is not specified in the job description.

What skills and experience are required for this Senior Full Stack Data Scientist role?

Candidates need proven experience in a fast-paced startup building systems from prototype to production, a collaborative mindset to work with cross-functional teams, and pragmatic technical judgment in selecting and adapting machine learning algorithms. Bonus experience in time series problems or demand forecasting is highlighted.

What is the company culture like at Syrup?

Syrup features a dynamic and diverse team of data scientists, software engineers, business experts, and visionaries that values collaboration, creativity, and pushing boundaries in a fast-growing startup environment.

What makes a strong candidate for this position?

A strong candidate has experience building systems from prototype to production in a fast-paced startup, excels in cross-functional collaboration, and demonstrates pragmatic judgment in machine learning, especially for time series or forecasting problems.

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.

Cleveland, OhioHeadquarters
2022Year Founded
$3.2MTotal Funding
SEEDCompany Stage
Enterprise Software, AI & Machine LearningIndustries
1-10Employees

Benefits

Remote Work Options
Unlimited Paid Time Off
Health Insurance
Dental Insurance
Vision Insurance
Parental Leave

Risks

Competition from established CRM platforms like Salesforce and HubSpot.
Data privacy concerns could lead to regulatory scrutiny.
Dependence on venture capital funding poses financial risks.

Differentiation

Syrup uses AI to automate and personalize SaaS customer interactions.
Predictive analytics identifies key user behaviors for optimal engagement timing.
Pre-built communication workflows automate personalized messaging for SaaS companies.

Upsides

Growing demand for AI-driven personalization boosts Syrup's market potential.
Subscription-based model aligns with industry trends for recurring revenue.
Early adoption strategy helps gather feedback and improve product development.

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