Company Description

Flower 

Lime Vizio Inc is a premier floral and gifting company, delivering flowers since 2010.

LIME VIZIO has a tradition of excellence in flower delivery, and today we are one of the largest and most trusted online floral and gift retailers in the US and Canada. LIME VIZIO takes pride in being a leader in quality, innovation, artistry, and dependability. That tradition of innovation and forward-thinking has grown LIME VIZIO into a gifting powerhouse, with a family of brands that includes Blossom Flowers, Sunny Flowers, and Gift on Schedule. Our entrepreneurial culture and unwavering commitment to our people create a dynamic work environment that celebrates collaboration, quality, superior service, and constant innovation.

LIME VIZIO is an e-commerce technology company focused on providing product development and services support on multiple processes, domains, and technologies.

Required Skills

• 3 - 5 years of data science experience
• Experience with supporting cloud-based ML pipeline/operationalization.
• Experience creating machine learning applications, data-processing pipelines, monitoring results / iterating after launch.
• Experience engineering information from massive, sophisticated datasets (e.g. Spark, MongoDB, Snowflake, BigQuery).
• Develop infrastructure and “pipelines” for handling data, applying generalization and abstraction layers to enhance efficiency and sustainability of data architecture
• Experience with statistical software (e.g., R, Python) and database languages (e.g., SQL)
• Experience with containerization and cloud-based deployments (eg. GCP, AWS, Azure)
• Experience using neural networks for time-series modeling is a plus
• High tolerance for ambiguity
• Ability to effectively work with business leads and data scientists
• Strong verbal and written communication skills, ability to synthesize conclusions for non-experts, and desire to influence business decisions
  

  
  

  
  

Required Skills

• Own the full Data Science life-cycle from conception to prototyping, testing, deploying, and measuring its overall business value
• Design machine learning models to predict user behaviors and implement experiments to measure how they respond to our strategies.
• Uncover insights in our user clickstream, pricing, and product data to provide tactical guidance on how to act on findings.
• Integrate your algorithmic solutions into our technology platforms to run at scale and directly change the customer experience on-site
• Scope concrete data science solutions to ambiguous business problems.
• Develop personalized recommendation systems that leverage machine learning models to serve relevant content to customers
• Drive measurable business value collaborating with cross-functional business and technical teams
• Partner with engineering to scale and deploy machine learning models