Associate Data Scientist

AssociateDataScientistGenAI

$70–70k Toronto, Ontario, Canada FULL TIME Remote Friendly
The Brief

“Associate Data Scientist - GenAI at Associate Data Scientist. Skills: Generative AI, prompt engineering, RAG applications, fine-tuning LLM models, machine learning, predictive analytics, Python. Develop and implement AI models to solve complex business problems, using a variety of algorithms and techniques. Clean, preprocess, and analyze large datasets to extract meaningful insights and patterns”

What You'll Achieve.

driving data-driven decision-making; enhancing our business processes

Industry & Context.

Problems you'll solve

problem-solving skills and the ability to think critically and creatively to develop innovative solutions

What They're Looking For.

Must Have

Bachelor's degree, Master's degree, or Ph. D. in Computer Science, Data Science, Statistics, or a related field, Proven experience as a Data Scientist including internships or coops, Solid understanding of machine learning algorithms, statistical modeling, and data analysis techniques, Proficiency in programming languages such as Python, experience with machine learning libraries/frameworks (e. g. , PyTorch, scikit-learn, Hugging Face)

Nice to Have

problem-solving skills and the ability to think critically and creatively to develop innovative solutions, Excellent communication and collaboration skills, with the ability to work effectively in multi-functional teams

What You'll Do.

Develop and implement AI models to solve complex business problems

using a variety of algorithms and techniques

and analyze large datasets to extract meaningful insights and patterns

Apply prompt engineering techniques

build with RAG (Retrieval-Augmented Generation) applications

and fine-tune language models and improve their performance in specific tasks

Apply generative AI techniques to generate synthetic data

create realistic simulations

and enhance data analysis capabilities

Design and complete experiments to validate and optimize machine learning models

Deploy machine learning models and applications on cloud platforms like Azure ML or Databricks

ensuring seamless integration and scalability

Stay up-to-date with the latest advancements in machine learning

and cloud technologies

and apply them to enhance our data science capabilities

How You'll Work.

Team & Collaboration

Collaborate with multi-functional teams to identify and define business requirements, ensuring alignment with data science objectives; Collaborate with data engineers and ML engineers to integrate data science solutions into existing systems and workflows; Communicate complex technical concepts and findings to both technical and non-technical partners, ensuring clear understanding and agreement

Communication Scope

Communicate complex technical concepts and findings to both technical and non-technical partners, ensuring clear understanding and agreement; Excellent communication and collaboration skills, with the ability to work effectively in multi-functional teams

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