Become a Full Stack Data Science Engineer, focusing on AI/ML and analytics solutions that influence business success. Collaborate with teams to translate data into decisions.As a Data Science Engineer, you will lead initiatives in performance diagnostics and actionable insights. Your expertise in analytics, machine learning, and cloud technologies will be essential for building scalable solutions. Engage with stakeholders to promote data-driven decision-making through explicit communication.Key Responsibilities:Drive performance diagnostics for growth and efficiencyDevelop data insights through rigorous analysis and testingDesign analytics assets and predictive modelsInvestigate AI/ML tools for complex problem-solvingCraft effective visualizations for diverse audiencesRequirements:Graduate degree in analytics-focused disciplineMinimum of 5 years in data-centric rolesFamiliarity with data manipulation using SQL and PythonExperience with Azure or AWS platformsAbility to communicate insights to senior stakeholdersLeverage your data science skills to make a tangible impact in analytics.#J-18808-Ljbffr

📌 Full Stack Data Science Engineer (Toronto)
🏢 DraftKings
📍 Toronto