Solutions Architect - Data & AI
RescaleSalary not specified
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
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
What is the company culture like at Lantern?
Lantern fosters a culture founded on trust, respect, inclusion, and belonging, with inspired teams collaborating in an environment that prioritizes well-being, growth mindset, curiosity, excellence, and positive societal impact.
What key skills are required for the Data Scientist role?
Key skills include experience in the full ML lifecycle, proficiency with Microsoft Azure technologies like Azure Machine Learning and Azure Databricks, strong programming in Python or PySpark, understanding of supervised and unsupervised learning algorithms, data preparation and feature engineering, and excellent communication skills.
Is this a remote position or does it require office work?
This information is not specified in the job description.
What is the salary or compensation for this Data Scientist role?
This information is not specified in the job description.
What qualifications make a strong candidate for this position?
A Bachelor’s degree in computer science or related field is required, along with experience building solutions with Azure AI Services, Microsoft Fabric or Azure Data Factory, and ideally the AI-102 certification.
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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