Autodesk

Autodesk

Principal Data Scientist

Ontario, CAN - Remote · Principal

Sponsorship not specifiedDetected 28 days ago
PythonMATLABSQLNoSQLCloud PlatformsMachine LearningTensorFlowPandasSparkData ScienceData VisualizationStatisticsA/B TestingProduct StrategySASExperimental DesignCommunicationCollaborationBIMHadoop

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odds of building a lasting career here

38Risky
Cap-exempt (no lottery)0
Sponsors this role85
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.

Lottery odds assume a STEM candidate.

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Employer immigration record

from this employer's Department of Labor filings

Green-card filing pattern in this occupation

Context, not a finding about this posting: of this employer's 3 green-card filings in this occupation, 100% were for a worker who already held the job.

Green-card follow-through: 86%

Of 29 labor certifications old enough to have been used, 4 expired without the employer filing the next step. Median time from filing to decision: 483 days.100% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.

Reported a layoff in this occupation

In a green-card filing decided 2026-04-10, this employer stated it had laid off workers in Business Intelligence Analysts (CA) during the preceding six months. 2 such filings on record.Describes the period before that filing, not necessarily today. Unlike WARN notices this is occupation-specific and federal.

Files H-1B transfers

12 transfer filings in the last year, covering 12 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • We work in close sync with our executive staff due to our direct impact on Autodesk Construction Solution business.
  • You define a data science roadmap and execute against it in collaboration with others - You are passionate about insights, not just data.
  • General contractors, subcontractors, and owners around the world rely on ACS to win more work, enhance collaboration, speed decision-making, reduce risk, and improve overall project outcomes.

Responsibilities

  • Lead junior/ senior data scientists and analysts. Apply statistical techniques to model customer behavior and trends to identify potential opportunities for growth and improvement
  • Building statistical models (both predictive and descriptive) for customer lifetime value modeling, retention modeling etc
  • Familiarity with Statistics concepts and analysis, e.g. hypothesis testing, regression, experimental design, etc.

Requirements

  • Experience working with relational SQL and/or NoSQL databases
  • Experience working with big data platforms (Hadoop, Spark, Hive)
  • Experience in statistical programming tools such as R, Matlab, SAS, Python data science toolkits, etc.
  • Experience with data science toolkits like pandas, Jupyter, scikit, TensorFlow, etc.
  • Experience implementing reporting programs like Domo, Looker, Tableau, PowerBI, etc.
  • Experience in data visualization tools
  • Experience in customer analytics
  • Good communication skills and ability to explain complex topics to both technical and non-technical audience as well
  • The Ideal Candidate
  • You have experience owning complex projects from start to finish.

Skills

  • Job Requisition ID #
  • Position Overview

Compensation

  • Salary transparency

Benefits

  • Work alongside a product development team and apply data mining, analytics and machine learning methods to understanding how customers use, adopt and achieve successful outcomes with our products
  • Familiarity with Machine Learning techniques, e.g. classification, clustering, regularization, optimization, dimension reduction, etc.

Company info

  • We take great pride in our culture here at Autodesk - it's at the core of everything we do.
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This listing is sourced directly from Autodesk's careers page and normalized into a canonical job model.