Principal Data Scientist
Autodesk
Principal Data Scientist
Job Description
Principal Data Scientist
📋 Job Overview
The Principal Data Scientist at Autodesk leads advanced data science initiatives to drive innovation in design and engineering software. This role involves developing machine learning models, analyzing large datasets, and collaborating with cross-functional teams to enhance product capabilities. Based in multiple locations, the position offers opportunities to impact Autodesk's AI-driven future.
📍 Location: 2 Locations, 2 Locations
📅 Posted: Posted 30+ Days Ago
🎯 Key Responsibilities
- Design and implement machine learning algorithms to solve complex business problems
- Lead data science projects from ideation to deployment
- Collaborate with engineering and product teams to integrate AI features
- Mentor junior data scientists and foster a data-driven culture
- Analyze and interpret large datasets to provide actionable insights
- Stay updated with latest advancements in AI and data science
✅ Required Qualifications
- Master's or PhD in Computer Science, Statistics, Mathematics, or related field
- 8+ years of experience in data science or machine learning roles
- Proven track record of deploying ML models in production environments
- Strong programming skills in Python or R
- Experience with big data technologies like Spark or Hadoop
⭐ Preferred Qualifications
- PhD in a quantitative field
- Experience in the AEC (Architecture, Engineering, Construction) industry
- Familiarity with Autodesk products or CAD software
- Publications in top ML conferences
- Leadership experience in data science teams
🛠️ Required Skills
- Machine Learning (supervised, unsupervised, deep learning)
- Python, R, SQL
- TensorFlow, PyTorch, Scikit-learn
- Big Data tools: Apache Spark, Hadoop
- Cloud platforms: AWS, Azure, or GCP
- Statistical analysis and data visualization
- Problem-solving and communication skills
- Experience with version control (Git)
🎁 Benefits & Perks
- Competitive salary and performance-based bonuses
- Comprehensive health, dental, and vision insurance
- 401(k) matching and retirement plans
- Flexible work arrangements and remote options
- Professional development and tuition reimbursement
- Generous paid time off and parental leave
- Employee stock purchase plan
Locations
- 2 Locations, 2 Locations
Salary
Estimated Salary Rangemedium confidence
180,000 - 280,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Machine Learning (supervised, unsupervised, deep learning)intermediate
- Python, R, SQLintermediate
- TensorFlow, PyTorch, Scikit-learnintermediate
- Big Data tools: Apache Spark, Hadoopintermediate
- Cloud platforms: AWS, Azure, or GCPintermediate
- Statistical analysis and data visualizationintermediate
- Problem-solving and communication skillsintermediate
- Experience with version control (Git)intermediate
Required Qualifications
- Master's or PhD in Computer Science, Statistics, Mathematics, or related field (experience)
- 8+ years of experience in data science or machine learning roles (experience)
- Proven track record of deploying ML models in production environments (experience)
- Strong programming skills in Python or R (experience)
- Experience with big data technologies like Spark or Hadoop (experience)
Preferred Qualifications
- PhD in a quantitative field (experience)
- Experience in the AEC (Architecture, Engineering, Construction) industry (experience)
- Familiarity with Autodesk products or CAD software (experience)
- Publications in top ML conferences (experience)
- Leadership experience in data science teams (experience)
Responsibilities
- Design and implement machine learning algorithms to solve complex business problems
- Lead data science projects from ideation to deployment
- Collaborate with engineering and product teams to integrate AI features
- Mentor junior data scientists and foster a data-driven culture
- Analyze and interpret large datasets to provide actionable insights
- Stay updated with latest advancements in AI and data science
Benefits
- general: Competitive salary and performance-based bonuses
- general: Comprehensive health, dental, and vision insurance
- general: 401(k) matching and retirement plans
- general: Flexible work arrangements and remote options
- general: Professional development and tuition reimbursement
- general: Generous paid time off and parental leave
- general: Employee stock purchase plan
Tags & Categories
Answer 10 quick questions to check your fit for Principal Data Scientist @ Autodesk.
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~2 Minutes
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Principal Data Scientist
Autodesk
Principal Data Scientist
Job Description
Principal Data Scientist
📋 Job Overview
The Principal Data Scientist at Autodesk leads advanced data science initiatives to drive innovation in design and engineering software. This role involves developing machine learning models, analyzing large datasets, and collaborating with cross-functional teams to enhance product capabilities. Based in multiple locations, the position offers opportunities to impact Autodesk's AI-driven future.
📍 Location: 2 Locations, 2 Locations
📅 Posted: Posted 30+ Days Ago
🎯 Key Responsibilities
- Design and implement machine learning algorithms to solve complex business problems
- Lead data science projects from ideation to deployment
- Collaborate with engineering and product teams to integrate AI features
- Mentor junior data scientists and foster a data-driven culture
- Analyze and interpret large datasets to provide actionable insights
- Stay updated with latest advancements in AI and data science
✅ Required Qualifications
- Master's or PhD in Computer Science, Statistics, Mathematics, or related field
- 8+ years of experience in data science or machine learning roles
- Proven track record of deploying ML models in production environments
- Strong programming skills in Python or R
- Experience with big data technologies like Spark or Hadoop
⭐ Preferred Qualifications
- PhD in a quantitative field
- Experience in the AEC (Architecture, Engineering, Construction) industry
- Familiarity with Autodesk products or CAD software
- Publications in top ML conferences
- Leadership experience in data science teams
🛠️ Required Skills
- Machine Learning (supervised, unsupervised, deep learning)
- Python, R, SQL
- TensorFlow, PyTorch, Scikit-learn
- Big Data tools: Apache Spark, Hadoop
- Cloud platforms: AWS, Azure, or GCP
- Statistical analysis and data visualization
- Problem-solving and communication skills
- Experience with version control (Git)
🎁 Benefits & Perks
- Competitive salary and performance-based bonuses
- Comprehensive health, dental, and vision insurance
- 401(k) matching and retirement plans
- Flexible work arrangements and remote options
- Professional development and tuition reimbursement
- Generous paid time off and parental leave
- Employee stock purchase plan
Locations
- 2 Locations, 2 Locations
Salary
Estimated Salary Rangemedium confidence
180,000 - 280,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Machine Learning (supervised, unsupervised, deep learning)intermediate
- Python, R, SQLintermediate
- TensorFlow, PyTorch, Scikit-learnintermediate
- Big Data tools: Apache Spark, Hadoopintermediate
- Cloud platforms: AWS, Azure, or GCPintermediate
- Statistical analysis and data visualizationintermediate
- Problem-solving and communication skillsintermediate
- Experience with version control (Git)intermediate
Required Qualifications
- Master's or PhD in Computer Science, Statistics, Mathematics, or related field (experience)
- 8+ years of experience in data science or machine learning roles (experience)
- Proven track record of deploying ML models in production environments (experience)
- Strong programming skills in Python or R (experience)
- Experience with big data technologies like Spark or Hadoop (experience)
Preferred Qualifications
- PhD in a quantitative field (experience)
- Experience in the AEC (Architecture, Engineering, Construction) industry (experience)
- Familiarity with Autodesk products or CAD software (experience)
- Publications in top ML conferences (experience)
- Leadership experience in data science teams (experience)
Responsibilities
- Design and implement machine learning algorithms to solve complex business problems
- Lead data science projects from ideation to deployment
- Collaborate with engineering and product teams to integrate AI features
- Mentor junior data scientists and foster a data-driven culture
- Analyze and interpret large datasets to provide actionable insights
- Stay updated with latest advancements in AI and data science
Benefits
- general: Competitive salary and performance-based bonuses
- general: Comprehensive health, dental, and vision insurance
- general: 401(k) matching and retirement plans
- general: Flexible work arrangements and remote options
- general: Professional development and tuition reimbursement
- general: Generous paid time off and parental leave
- general: Employee stock purchase plan
Tags & Categories
Answer 10 quick questions to check your fit for Principal Data Scientist @ Autodesk.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs