Data Scientist

Take on the role of Data Scientist for a multinational Fortune 500 Project in Canada. Drive innovation and contribute to technological excellence. Apply today to become a key player in the dynamic team.

Responsibilities:

1. Tackle diverse challenges to gain insights into customer interactions with the companys products identifying key drivers for increased adoption and engagement.
2. Utilize expertise in quantitative analysis data mining and machine learning to develop models that guide product development strategic decisionmaking and roadmap prioritization.
3. Design and implement machine learning pipelines to enhance the products evidencebased decisionmaking capabilities.
4. Collaborate closely with senior leaders across Product Marketing Engineering and Design teams to ensure datadriven decisions are made using the most impactful data science and analytics methodologies.
5. Provide technical leadership and mentorship to junior team members helping them deliver key machine learningpowered features for the Digital Customer Platform.

Minimum Qualifications:

1. MS or PhD in a quantitative discipline such as Mathematics Physical Sciences Statistics Computer Science or a related field.
2. 5 years of industry experience with a strong passion for designing analyzing and deploying machine learning solutions.
3. Expertise in Large Language Models (LLMs) including RAG and Generative AI as well as Natural Language Processing (NLP).
4. Experience with relational (SQL) and/or NoSQL databases.
5. Handson experience with big data technologies like Hadoop Spark and Hive.
6. Proficient in one or more programming languages such as Python Java or Scala.
7. Skilled in using data science toolkits such as pandas Jupyter scikitlearn and TensorFlow.
8. Familiarity with machine learning techniques including classification clustering regularization optimization and dimensionality reduction.
9. Ability to write clean welldocumented scalable code with Python being the preferred language.
10. Strong communication skills capable of translating complex technical concepts for nontechnical audiences and effectively presenting data insights.
11. Experience with cloud platforms particularly AWS.
12. Familiarity with MLOps practices and optimizing machine learning workflows in production.
13. Proven track record in leading research that results in published work.
    
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    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.

Remote Work :

No