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Data Scientist - (2025 Winter Co-op)

ARE YOU INTERESTED IN A WORKPLACE THAT HAS...


THE OPPORTUNITY:


4 month contract working remote from January - April 2025 (full-time)


As a data scientist at Pelmorex you will have the opportunity to work on a very diverse set of projects in various business units.  These include product demand forecasting based on weather in our B2B business,  utilizing Deep Learning in weather prediction,  and various ad-tech solutions from improved audience targeting to advanced location insights


Please note, this role requires you to be eligible to work in Canada and provide Eastern Standard hours support


WHAT DOES YOUR DAY TO DAY LOOK LIKE:
  • Apply ML at scale in various revenue generating projects
  • Develop innovative algorithms that provide best-in-class solutions for audience targeting and attribution and weather based demand forecasting in a variety of industries
  • Brainstorm and create powerful visualizations that makes data accessible and understandable;
  • Utilize the latest advancements in GenAI to produce client facing summaries that can monetize our various prediction algorithms
  • Contribute with development best practices and experiment with new ideas;
  • Work collaboratively with cross-functional teams to identify creative solutions for data targeting, and plan and execute key products from concept to production


ABOUT YOU:
  • 2+ years of data science experience in industry
  • Strong and fundamental understanding of statistics , including knowledge of probability theory, hypothesis testing, regression analysis, and data modeling.
  • Solid understanding of Machine Learning (ML) concepts and its application in a variety of use cases such as classification, regression, clustering, and anomaly detection.
  • Experience developing ML solutions in industry or research including preprocessing, feature engineering, model selection, training, validation, and deployment.
  •  Good foundation in SQL for data manipulation, querying, and analyzing data to support machine learning and data science initiatives.
  • Strong programming skills in python (preferred), including relevant statistical, machine learning, and deep learning libraries (pandas, numpy, stats models, scikit-learn, tensorflow, etc.)
  • Experience with distributed computing environments (e.g., Apache Spark)
  • Skills in graphical data visualization (Google Looker, Matplotlib or similar)
  • Strong communication skills, including the ability to explain complex ideas to an audience with a non-technical background 


You are Made for This if You...
  • Experience developing Deep Learning solutions in industry/research.
  • Bonus if this experience is applied to large datasets where distributed data frameworks are necessary                                       


WHY YOU WANT TO WORK HERE:
  • Perks: Just a few reasons to join our amazing team include competitive salary and a casual work environment. Remote Work environment with the option to #Chooseourownadventure. Read more about our remote work environment here!


OUR PROMISE TO YOU...


We’re highly focused on doing the right thing.

We’ll discuss issues and timelines professionally, so you have the time you need to do the best work you can

You will see the result of your work pushed out to real users quickly

We’re a team that enjoys learning new technologies and we’re open to trying new things

We’ll try our best not to bog you down with boring meetings


Through constant innovation and entrepreneurship, Pelmorex has grown to reach consumers around the globe, has become one of the largest weather information providers and has broken new ground in providing data solutions and insights to businesses. Through harnessing the value of weather, Pelmorex is driven to make the world smarter and safer for consumers and businesses.  #youwanttoworkhere


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Founded in 1989, Pelmorex is a private, family-owned, international weather information and data management company. Pelmorex is located in Canada.

11 jobs
FUNDING
DEPARTMENTS
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
DATE POSTED
November 20, 2024

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