Principal Data Scientist
Autodesk
Principal Data Scientist
Job Description
Principal Data Scientist
📋 Job Overview
The Principal Data Scientist role at Autodesk involves leading advanced data science initiatives to drive innovation in design and engineering software. You will collaborate with cross-functional teams to develop machine learning models and analytics solutions that enhance product capabilities and user experiences. This remote position in the USA offers an opportunity to influence strategic decisions through data-driven insights.
📍 Location: Michigan, USA - Remote (Remote/Hybrid)
📅 Posted: Posted 30+ Days Ago
🎯 Key Responsibilities
- Design and implement machine learning models to solve complex business problems
- Lead a team of data scientists and mentor junior members
- Collaborate with product and engineering teams to integrate data solutions
- Conduct data analysis and provide actionable insights to stakeholders
- 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 leading data science projects in a tech environment
- Strong understanding of statistical modeling and experimental design
⭐ Preferred Qualifications
- Experience in the AEC (Architecture, Engineering, Construction) industry
- Familiarity with cloud platforms like AWS or Azure
- Publication record in top-tier machine learning conferences
- Advanced knowledge of generative AI techniques
🛠️ Required Skills
- Python, R for data analysis and modeling
- Machine learning frameworks: TensorFlow, PyTorch, Scikit-learn
- Big data technologies: Spark, Hadoop
- SQL and database management
- Statistical analysis and hypothesis testing
- Leadership and communication skills
- Problem-solving and critical thinking
🎁 Benefits & Perks
- Comprehensive health, dental, and vision insurance
- 401(k) matching and retirement plans
- Flexible remote work arrangements
- Professional development and tuition reimbursement
- Generous paid time off and parental leave
- Employee stock purchase plan
Locations
- Michigan, USA - Remote (Remote)
Salary
Estimated Salary Rangemedium confidence
180,000 - 250,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Python, R for data analysis and modelingintermediate
- Machine learning frameworks: TensorFlow, PyTorch, Scikit-learnintermediate
- Big data technologies: Spark, Hadoopintermediate
- SQL and database managementintermediate
- Statistical analysis and hypothesis testingintermediate
- Leadership and communication skillsintermediate
- Problem-solving and critical thinkingintermediate
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 leading data science projects in a tech environment (experience)
- Strong understanding of statistical modeling and experimental design (experience)
Preferred Qualifications
- Experience in the AEC (Architecture, Engineering, Construction) industry (experience)
- Familiarity with cloud platforms like AWS or Azure (experience)
- Publication record in top-tier machine learning conferences (experience)
- Advanced knowledge of generative AI techniques (experience)
Responsibilities
- Design and implement machine learning models to solve complex business problems
- Lead a team of data scientists and mentor junior members
- Collaborate with product and engineering teams to integrate data solutions
- Conduct data analysis and provide actionable insights to stakeholders
- Stay updated with latest advancements in AI and data science
Benefits
- general: Comprehensive health, dental, and vision insurance
- general: 401(k) matching and retirement plans
- general: Flexible remote work arrangements
- 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
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Principal Data Scientist
Autodesk
Principal Data Scientist
Job Description
Principal Data Scientist
📋 Job Overview
The Principal Data Scientist role at Autodesk involves leading advanced data science initiatives to drive innovation in design and engineering software. You will collaborate with cross-functional teams to develop machine learning models and analytics solutions that enhance product capabilities and user experiences. This remote position in the USA offers an opportunity to influence strategic decisions through data-driven insights.
📍 Location: Michigan, USA - Remote (Remote/Hybrid)
📅 Posted: Posted 30+ Days Ago
🎯 Key Responsibilities
- Design and implement machine learning models to solve complex business problems
- Lead a team of data scientists and mentor junior members
- Collaborate with product and engineering teams to integrate data solutions
- Conduct data analysis and provide actionable insights to stakeholders
- 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 leading data science projects in a tech environment
- Strong understanding of statistical modeling and experimental design
⭐ Preferred Qualifications
- Experience in the AEC (Architecture, Engineering, Construction) industry
- Familiarity with cloud platforms like AWS or Azure
- Publication record in top-tier machine learning conferences
- Advanced knowledge of generative AI techniques
🛠️ Required Skills
- Python, R for data analysis and modeling
- Machine learning frameworks: TensorFlow, PyTorch, Scikit-learn
- Big data technologies: Spark, Hadoop
- SQL and database management
- Statistical analysis and hypothesis testing
- Leadership and communication skills
- Problem-solving and critical thinking
🎁 Benefits & Perks
- Comprehensive health, dental, and vision insurance
- 401(k) matching and retirement plans
- Flexible remote work arrangements
- Professional development and tuition reimbursement
- Generous paid time off and parental leave
- Employee stock purchase plan
Locations
- Michigan, USA - Remote (Remote)
Salary
Estimated Salary Rangemedium confidence
180,000 - 250,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Python, R for data analysis and modelingintermediate
- Machine learning frameworks: TensorFlow, PyTorch, Scikit-learnintermediate
- Big data technologies: Spark, Hadoopintermediate
- SQL and database managementintermediate
- Statistical analysis and hypothesis testingintermediate
- Leadership and communication skillsintermediate
- Problem-solving and critical thinkingintermediate
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 leading data science projects in a tech environment (experience)
- Strong understanding of statistical modeling and experimental design (experience)
Preferred Qualifications
- Experience in the AEC (Architecture, Engineering, Construction) industry (experience)
- Familiarity with cloud platforms like AWS or Azure (experience)
- Publication record in top-tier machine learning conferences (experience)
- Advanced knowledge of generative AI techniques (experience)
Responsibilities
- Design and implement machine learning models to solve complex business problems
- Lead a team of data scientists and mentor junior members
- Collaborate with product and engineering teams to integrate data solutions
- Conduct data analysis and provide actionable insights to stakeholders
- Stay updated with latest advancements in AI and data science
Benefits
- general: Comprehensive health, dental, and vision insurance
- general: 401(k) matching and retirement plans
- general: Flexible remote work arrangements
- 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