Data Scientist Position for Scalable Model Development
6 days ago
Discover a unique opportunity at Amiri Building Engineering Inc dba 120 Degreez, a fast-growing consulting firm leveraging the expertise of engineers and data scientists from top tech companies.
The company's mission is to provide advanced data solutions that drive business growth. As a key player in this endeavor, you will be responsible for applying machine learning methodologies to productize scalable models that generate valuable business insights.
Data products and critical problem-solving are core focuses of this position, requiring candidates to work with both structured and unstructured data.
The environment emphasizes accountability rather than micro-management, fostering innovative project work.
Company OverviewAmple Insight Inc. consists of a world-class team of engineers and data scientists, including alumni from Facebook, Uber, Amazon, and Google. They are a fast-growing consulting firm based in Toronto, serving a range of clients from impactful technology startups to Fortune 500 companies.
Their focus is on scaling engineering and data capabilities for their clients, leveraging the team's expertise.
Key ResponsibilitiesResponsibilities include:
- Applying machine learning methodologies to develop scalable models.
- Collaborating with cross-functional teams to integrate data-driven insights into client projects.
- Analyzing complex data sets to identify trends and opportunities for growth.
We're looking for individuals who are passionate about using data to drive business outcomes. Ideal candidates will have a strong background in machine learning and experience working with large datasets.
What We OfferThis role offers a competitive salary of $**125,000 - $150,000 per year**, depending on experience. Additionally, we provide a comprehensive benefits package, professional development opportunities, and a dynamic work environment that encourages collaboration and innovation.
Bonus InformationPlease note that job description information may have been generated via GPT-4 summarisation and could contain inaccuracies.
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