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Senior Data Scientist (Remote)

Remote:

Full Remote

Contract:

Full time

Experience:

Senior (5-10 years)

Work from:

Canada

Offer summary

Qualifications:

MS or PhD in quantitative field, 5+ years designing machine learning solutions, Proficient in Large Language Models and NLP, Strong command of SQL/NoSQL and Python.

Key responsabilities:

Analyze customer behavior for product engagement
Leverage analytics to guide product strategy
Design ML pipelines for decision-making
Collaborate with cross-functional teams
Lead and mentor team members

NEARSOURCE TECHNOLOGIES

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Job description

We are 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, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as protected veterans.