Data Scientist in Data Science Hub
6 days ago
We are seeking a Data Scientist with an academic background in advanced analytics and Artificial Intelligence to join our dynamic and growing Applied Data Analytics (ADA) team. As a Data Scientist at BGIS, you will help us build our Analytics and AI Innovation Hub in Toronto. You will play an impactful and critical role in leveraging our unmatched internal datasets with external data to drive insights, inform strategic decisions, and optimize our operations. You will also get the chance to work with more senior Data Scientists on the team along with Data Management, Data Engineer, and Business Intelligence professionals.
KEY DUTIES & RESPONSIBILITIES- Analysis and Modelling:
Utilize your educational background in a quantitative field, such as computer science, mathematics, or engineering, to analyze complex datasets and develop predictive models. Apply your expertise in analytics to solve real-world problems, using machine learning, artificial intelligence, linear programming, generative AI, NLP/Large Language Models (LLMs), or other data science techniques. Design, build, and maintain robust feature engineering, data pipelines and ETL processes, ensuring data accuracy and accessibility for analysis and modeling. p>
- Best practices and Continuous Learning:
Showcase your aptitude for continuous learning by staying up to date with the latest advancements in data science and technology. Maintain a strong understanding of data warehousing, cloud technologies, and big data solutions, constantly updating and improving our data and analytics infrastructure.
- Solutions and Business Strategy:
Harness your passion for problem-solving to identify opportunities for improvement and drive data-driven decisions. Collaborate with cross-functional teams to ensure the successful implementation of data-driven solutions. Demonstrate strong communication skills, effectively translating technical insights into actionable business strategies.
- Communication:
Collaborate closely with data scientists and business analysts, providing them with clean, structured data outputs from your analytic work to facilitate business decision making.
- Bachelor's degree or higher in a quantitative field (Computer Science, Mathematics, Engineering).
- Work experience in data analytics, machine learning, AI, or data science is a nice to have.
- Understanding of delivering actionable insights and solutions from complex data and analytic models.
- Excellent communication skills with the ability to convey technical concepts to non-technical concerned parties.
- Proficiency in data manipulation and programming languages such as Python, R, or SQL.
- Familiarity with data visualization tools and techniques (Power BI, Tableau, Python libraries).
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