Data Scientist at Later

Toronto, Ontario, Canada

Later Logo
Not SpecifiedCompensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
Information TechnologyIndustries

Requirements

  • Bachelor’s degree in computer science or related field
  • Experience building solutions with Azure AI Services (OpenAI, Vision, Speech, etc.)
  • AI-102 (Microsoft Certified: Azure AI Engineer Associate), or DP-100 (Microsoft Certified: Azure Data Scientist Associate), or Databricks ML Data Scientist Certifications a plus
  • Experience with GitHub or Azure DevOps
  • Prior consulting and business development experience a plus

Responsibilities

  • Assist clients in envisioning, designing, developing, and deploying machine learning solutions in Microsoft Azure
  • Contribute to multiple projects and multiple phases of the solution life cycle
  • Develop and deploy traditional data science solutions
  • Collaborate with business stakeholders to understand business requirements and design AI solutions
  • Communicate highly technical concepts to non-technical audiences
  • Optimize and tune machine learning solutions to handle large volumes of data
  • Prepare and engineer data for machine learning solutions
  • Implement and maintain data engineering practices
  • Develop and deploy machine learning models using Python or PySpark
  • Participate in the full ML lifecycle, from understanding to deployment

Skills

Machine Learning
Azure Machine Learning
Azure Databricks
Data Science
Data Modeling
Model Deployment
Data Analysis
Problem-Solving

Later

Social media management and influencer marketing tools

About Later

Later provides tools for social media marketing, focusing on helping marketers, brands, and influencers create engaging content and measure their results. Its main products include Later Influence, which automates influencer marketing campaigns and connects brands with influencers; Later Social Media Management, a tool for planning, scheduling, and analyzing social media posts; and Later Link in Bio, which allows users to drive traffic to multiple destinations from a single link in their bio. Unlike many competitors, Later emphasizes a subscription model that offers various service tiers, ensuring continuous updates and support for users. The company's goal is to establish the first "Social Revenue" platform, enabling clients to achieve predictable and measurable returns from their social media activities.

Vancouver, CanadaHeadquarters
2014Year Founded
$3.7MTotal Funding
SEEDCompany Stage
Consumer Software, Consumer GoodsIndustries
1,001-5,000Employees

Benefits

Hybrid work environment
Education & conference budget
Wellness spending account
Flexible hours & work schedule
Technology bonus
Annual company retreat
Vacation & wellness days
Parental leave top-up
Learning & development workshops
Stock options

Risks

Linktree's growth may overshadow Later's Link in Bio tool.
Integration of Mavely could distract from core offerings.
Instagram's video shift may require adaptation of Later's tools.

Differentiation

Later combines influencer marketing and social media management in a unified platform.
The company offers AI-powered social listening tools for actionable insights.
Later's acquisition of Mavely enhances its social commerce capabilities.

Upsides

AI-enhanced search optimizes influencer discovery and ROI for brands.
Social commerce trends offer new monetization opportunities for creators.
Later's partnerships with major social platforms expand its market reach.

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