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Data Engineer At HomeStars

Location: Toronto, Ontario

Job Description

Canadians spend over $70B annually on their homes - whether it’s major renovations, or small repairs and maintenance work. This journey often starts by finding the right contractor. HomeStars is the leading platform in Canada, helping homeowners with their home renovation needs by allowing them to search our database of companies and hundreds of thousands of reviews. Every month over half a million homeowners visit HomeStars to research and connect with the best rated home professionals near them. Home Professionals advertise on HomeStars to tell their story, and grow their business with highly qualified connections. HomeStars has recently been acquired by ANGI Homeservices Inc., the #1 marketplace in the US for helping homeowners connect with the best home service providers.

HomeStars is looking to continue to build a positive, winning culture and that starts with hiring great people like you! If you are looking to be work or be a part of organization with an exceptional environment, we want to hear from you!
Perks of working at HomeStars:
  • We are growing fast. HomeStars is part of the ANGI Homeservices Inc. family.
  • Excellent Benefits Package. We want a healthy and productive team.
  • Company wide social events and team building activities.
  • December Break. The office is closed the week before New Year’s.
  • Personal Growth. We seek to provide employees with constructive feedback to foster their career growth.
  • Beautiful brick & beam office in the heart of the entertainment district in Toronto.
  • Our lead distribution and pricing algorithm.
  • Automated review moderation.

You have curiosity about how things work.You are an expert communicator with emotional intelligence and you enjoy explaining complex technical concepts to product managers, support, - and other engineers.

HomeStars receives thousands of review submissions each week. Given HomeStars market leadership, growing popularity as a trusted source to homeowners, and the extremely competitive nature of the Canadian home service market, there is an increased incentive for companies to have glowing reviews online. As such, HomeStars must invest in new technology to ensure the highest standards are met and only legitimate / trusted content is published. You will be instrumental in upholding this foundational mandate!

We have eleven years of rich data and over half a million active users, making it possible to take our connections & content for homeowners and home-related services to the next level. You will be responsible to leverage machine learning in order to drive business goals. As our Data Scientist, reporting to the CTO you’ll work closely with various functions to identify key areas where analytics can improve the business, in addition to taking a very hands-on approach to auditing our review content daily. You will audit our review content for trustability, ensuring it’s authentic and identifying any fraudulent activity. You will also be interacting with customer inquires via email in potentially high-stress situations.

Working closely with the Engineering team, your role will be to further develop and optimize internal processes to help scale moderation operations and workflows. The company is growing exponentially and this will be a key role to support quality content growth. You will work with our product team and software engineers to organize the data, analyze it, and create a plan of action for product and feature improvements as well as supporting the marketing and sales team to leverage insights from your analyses.

HomeStars is seeking a data scientist to capture insights and measure all released developments. In particular, this role will be involved in the implementation of our consumer facing recommendation score automation.

  • 5+ years of experience in a highly analytical or quantitative function, preferably in a SaaS business, financial institution or insurance company would be an asset.
?- Bachelor’s Degree or equivalent in Math, Statistics, Computer Science, or Business
  • Strong customer service skills
  • Expertise and extensive hands-on experience with SQL and Excel to extract and manipulate data
  • Experience with various analytics and visualization tools (Looker, Google Analytics, Mixpanel, Salesforce)
?- Sharp business judgment and perceptiveness to filter what elements are key to success
  • Analytical thinking; integrates information from diverse sources, often involving large amounts of information
  • A keen eye for implied meanings in data
  • Strong attention to detail; ability to identify multiple sources/approaches of information to ensure that details are addressed
  • Information gathering and processing; effectively extracts, synthesizes and interprets data from multiple sources
  • Problem solving; identifies trends in data based on a broad range of factors, many of which are ambiguous or difficult to define
  • Ability to work collaboratively while taking initiative
  • Strong verbal and written communication skills

HOW TO JOIN? Send your resume to