Data Scientist

3 weeks ago

Toronto, Ontario, Canada NearSource Full time

Job Title: Data Scientist

Job Summary:

At NearSource Technologies, we are seeking a highly skilled Data Scientist to join our team. As a Data Scientist, you will play a key role in driving innovation and contributing to technological excellence.

Responsibilities:

  1. Develop and implement machine learning models to guide product development and strategic decision-making.
  2. Design and implement data pipelines to enhance the products evidence-based decision-making capabilities.
  3. Collaborate closely with senior leaders across Product Marketing, Engineering, and Design teams to ensure data-driven decisions.
  4. Provide technical leadership and mentorship to junior team members.

Requirements:

  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. Hands-on 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, scikit-learn, and TensorFlow.
  8. Familiarity with machine learning techniques including classification, clustering, regularization, optimization, and dimensionality reduction.
  9. Ability to write clean, well-documented, scalable code with Python being the preferred language.
  10. Strong communication skills capable of translating complex technical concepts for non-technical audiences.
  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.

Remote Work: No

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