Senior Data Scientist

Senior Data Scientist
NEARSOURCE TECHNOLOGIES  – 100% Remote, Canada (covering EST/PST timezones)

Experience:

5+ years

Role

Summary:

Near Source is looking for a Data Scientist with expertise in advanced machine learning, large language models, and scalable data solutions. The selected candidate will design and deploy AI-driven systems for enterprise-grade platforms, collaborating with global teams to deliver impactful innovation.

Key Responsibilities

Design and implement scalable machine learning models with a focus on Generative AI and LLMs

Architect and optimize data pipelines leveraging big data platforms such as Hadoop, Spark, and Hive

Develop high-quality, well-documented, and production-ready code in Python and related technologies

Drive experimentation using advanced ML techniques, including classification, clustering, optimization, and dimensionality reduction

Integrate AI/ML solutions with relational and No

SQL databases for enterprise-scale systems

Apply data science toolkits (pandas, Jupyter, scikit-learn, Tensor Flow) to deliver actionable insights

Collaborate with cross-functional engineering teams to design and enhance recommender systems and AI-driven protocols

Leverage cloud computing platforms (AWS, Sage Maker) for model training, deployment, and scaling

Communicate technical findings effectively to both technical and non-technical stakeholders

Must-Have Skills

MS/PhD in Mathematics, Statistics, Physical Sciences, Computer Science, or related fields

5+ years of hands-on experience in designing and deploying ML-based solutions

Strong proficiency with Python and SQL

Experience with relational and No

SQL databases

Expertise in big data platforms (Hadoop, Spark, Hive)

Proficiency with ML frameworks and toolkits (pandas, Jupyter, scikit-learn, Tensor Flow)

Experience with Generative AI, LLMs (RAG, NLP), and context protocol design

Ability to write scalable, production-grade, and well-documented code

Familiarity with AWS cloud services, including Sage Maker

Strong communication skills for technical and non-technical presentations

Nice-to-Have Skills

Familiarity with MLOps practices for optimizing ML workflows in production

Experience designing recommender systems for enterprise applications

Exposure to distributed systems and advanced AI model optimization techniques

Experience leading research projects with publications in AI/ML domains

Knowledge of containerization and orchestration (Docker, Kubernetes)

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Thank you for considering a career with us! Once you submit your application, our Talent Acquisition team will review your resume thoroughly. If there's a strong match, we'll reach out to discuss your experience, role details, benefits, compensation, and next steps. While we strive for transparency, we may not be able to respond to every applicant due to high volume, but we genuinely appreciate your time and interest.

About Near Source
Near Source Technologies is a trusted partner for future-ready software consulting, enabling Fortune 500 enterprises to accelerate digital transformation. Our global engineering teams build and deploy impactful technology for some of the world’s most admired brands, working directly on long-term client initiatives.

Equal Opportunity Statement
Near Source is an equal opportunity employer committed to fostering an inclusive and respectful environment. We celebrate diversity and do not discriminate based on race, gender, religion, sexual orientation, age, disability, or background. Innovation thrives when everyone feels empowered to contribute.

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