Company: Parent Organization

Location: Toronto, ON

Expected salary:

Job date: Sat, 21 Dec 2024 23:00:44 GMT

Job description: We’re hiring a Senior Data Scientist (Remote) to join our team and drive data-driven decision-making across our digital platform. Apply now to be part of the team.Job Responsibilities

• Solve Complex Problems: Analyze and interpret customer behavior to drive product adoption and improve user engagement.
• Apply Advanced Analytics: Leverage quantitative analysis, data mining, and machine learning to build models that guide product strategy and priorities.
• Build Machine Learning Pipelines: Design and implement ML pipelines that enable data-driven decision-making.
• Cross-Functional Collaboration: Work closely with Product, Marketing, Engineering, and Design teams to ensure impactful, data-informed decisions.
• Lead and Mentor: Guide and support team members in developing ML-powered features for our Digital Customer Platform.

Minimum Qualifications

• Educational Background: MS or PhD in a quantitative field such as Mathematics, Statistics, or Computer Science.
• Experience: 5+ years of experience in designing and deploying machine learning solutions.
• ML Expertise: Proficiency in Large Language Models (e.g., RAG, Generative AI) and Natural Language Processing (NLP).
• Technical Skills: Strong command of SQL/NoSQL databases, big data platforms (e.g., Hadoop, Spark), and programming languages (Python preferred).
• Data Science Tools: Experience with tools like Pandas, Jupyter, TensorFlow, and machine learning techniques.
• Cloud & MLOps: Hands-on experience with cloud platforms (AWS) and familiarity with MLOps best practices.

APPLY NOW!NearSource Technologies values diversity and is committed to equal opportunity. All qualified applicants will be considered regardless of their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as protected veterans.

The company is hiring a Senior Data Scientist (Remote) to drive data-driven decision-making across their digital platform. They are looking for someone to analyze customer behavior, leverage quantitative analysis and machine learning, design and implement ML pipelines, collaborate with other teams, and lead and mentor team members. The requirements include a MS or PhD in a quantitative field, 5+ years of experience in machine learning, expertise in Large Language Models and NLP, proficiency in SQL/NoSQL databases and Python, experience with tools like Pandas and TensorFlow, and hands-on experience with cloud platforms. The company values diversity and equal opportunity. Applicants are encouraged to apply now.