Data Scientist/ Sr. Data Scientist

1 month ago

Canada, CA eLocal Full time

eLocal is the most successful digital advertising firm you’ve probably never heard of. Each year, we connect millions of consumers with local and regional businesses. So, if you are looking for a company with fun growth opportunities coupled with a parent company's support and stability, eLocal is for you. We're fast-growing, and we want you to join our journey We are looking for a Data Scientist/Sr. Data Scientist to join our BI Team remotely from anywhere in Canada.



About the Role:

As Data Scientist/Sr. Data Scientist, you will play a key role in bringing machine learning and AI to life at eLocal. Your day-to-day will involve using a variety of machine learning techniques to build, maintain, and operationalize sophisticated data science models. You will be a natural extension of our team of data analysts, leveraging your expertise in statistics and coding to produce optimal business outcomes. You will partner with Engineering to deploy your models to production and monitor their ongoing impact on the business.

The ideal candidate will be an experienced data scientist, who has a successful track record of deploying data science models to production. We are looking for a Python expert who is comfortable working with different machine learning libraries and frameworks. The candidate will have also demonstrated material impact on business outcomes using data, ideally in the domains of forecasting, pricing, bidding, and auctions.



Responsibilities:

  • Build and design statistical/machine learning models across a variety of use cases, including optimizing bids to maximize profit, forecasting company financial performance, predicting account churn, identifying customer segments, and others
  • Work with a wide variety of internal and external data sources, partnering with Data Engineering to automate data pipelines and transformations
  • Support Engineering team in optimizing, deploying, maintaining, and re-training models, to generate ongoing impact for the business
  • In consultation with other members of the BI team, build upon existing analyses to generate new insights for the business, as well as create reports to measure the business outcomes of successfully deployed models
  • Share findings and explain complex methodologies to a non-technical audience in easily understood terms, using data-driven insights to influence company strategy
  • Act as the data science SME within the organization, identifying opportunities to apply the latest DS/ML/AI techniques for further process optimization and innovation at eLocal



Requirements and Skills:

  • 4-7 years working in a data science, machine learning, or advanced analytics role
  • Bachelor’s degree in data science, computer science, statistics, applied mathematics, engineering, or economics. Master’s or PhD preferred.
  • Track record of developing production level data science models that led to measurable business impact
  • Knowledge and understanding of statistical inference, experiment design, probability, sampling methodologies, regression, classification, clustering, data mining, time series analysis, causal inference analysis, and deep learning techniques
  • Hands on experience with ETL, data automation, data processing, and feature engineering
  • Programming and coding languages: SQL, Python (including Python-based machine learning frameworks)
  • Visualization tools – Tableau, Power BI etc. Qlik experience is a plus.
  • Prior experience with bidding/pricing/auction models is a huge plus.
  • Grit, accountability, and ownership- you’re willing to go the extra mile with a strong work ethic
  • Self-directed and resourceful, can think critically, troubleshoot and solve complex problems in a fast-paced, environment
  • High attention to detail while handling projects under deadline pressure



We still use our Philly office for meetings, collaboration, and socializing, but we are proudly a virtual-first environment with employees across North America. Since 2020, we have been a certified Great Place to Work™ with 91% of our employees saying that they would strongly recommend the organization to friends and family as a great place to work.

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