Senior Data Scientist - Full Stack
SentiLinkSalary not specified
Full Time
Senior (5 to 8 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
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
Is this position remote, and where is it based?
Yes, this is a fully remote position available to candidates in the UK or EU.
What is the salary for this role?
This information is not specified in the job description.
What key skills and experience are required for this position?
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 for real-world problems. Bonus experience in time series problems or demand forecasting is highlighted.
What is the company culture like at Syrup?
Syrup fosters a dynamic and diverse team that values collaboration, creativity, and pushing boundaries, with contributions having direct impact in a fast-growing startup environment.
What makes a strong candidate for this Senior Full Stack Data Scientist role?
A strong candidate has experience building ML systems from prototype to production in startups, excels in cross-team collaboration, and demonstrates sound judgment in applying algorithms to real problems, especially in demand forecasting.
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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