Senior Data Scientist

4 weeks ago

Canada Applicantz Full time
Job Title: Senior Data Scientist

At Applicantz, we're seeking a highly skilled Senior Data Scientist to join our team. As a global leader in 3D design, engineering, and entertainment software, we foster a progressive culture, creativity, and a flexible work environment.

Job Summary

We're looking for a Senior Applied Scientist to work on a variety of analytics-related projects that provide ML insights to our users. If you're an expert in machine learning with a proven track record of production-grade ML models, statistical analysis, and are excited about applying the latest technology and rigorous analysis to solve complex problems using ML, you may be the ideal candidate.

Responsibilities
  • Work on a variety of problems that better understand how customers use Autodesk products and what drives deeper adoption and usage of products.
  • Apply your quantitative analysis, data mining, and machine learning expertise to build models that influence product development, strategy, and roadmap prioritization.
  • Design and implement machine learning pipelines that improve Autodesk's evidence-based decision-making capabilities.
  • Partner with senior cross-functional leaders including Product, Product Marketing, Engineering, and Design to ensure data-driven decisions across the organization by applying the appropriate data science & analytics approaches where they will have a material impact.
  • You will provide technical leadership and mentorship for less-experienced members of the team to deliver key ML-powered features for our Digital Customer Platform.
Requirements
  • MS/PhD in a quantitative field: Mathematics, Physical Sciences, Statistics/Analytics, Computer Science, or other relevant fields.
  • 4+ years of industry experience and a passion for designing, analyzing, and deploying machine learning-based solutions.
  • Experience with Large Language Models LLM (RAG, Generative AI) and NLP.
  • Experience working with relational SQL and/or NoSQL databases.
  • Experience working with big data platforms (Hadoop, Spark, Hive).
  • Fluency with one or more programming languages: Python, Java, Scala, etc.
  • Experience with data science toolkits like: pandas, Jupyter, scikit, TensorFlow, etc.
  • Familiarity with Machine Learning techniques, e.g., classification, clustering, regularization, optimization, dimension reduction, etc.
  • Ability to write high-quality, well-documented, scalable code - Python preferred.
  • Strong communication skills with the ability to explain complex/technical work to a non-technical audience and to present data effectively.
  • Familiarity with cloud computing (AWS).
Preferred Qualifications
  • Self-starter: Able to take a big idea or complex problem, mine data to create insights, and use those insights to establish a point-of-view on the idea/problem.
  • Desire to learn in a fast-paced environment.
  • Familiarity with MLOps, and ability to optimize ML workflows in production environments.
  • Experience leading research resulting in publications.

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