Search for Principal Data Scientist roles focused on Generative AI in New Jersey, specifically for candidates with 5-7 years of experience, a Master's degree or higher, and proficiency in Python and AWS.

Okay, I've searched for Principal Data Scientist roles focusing on Generative AI in New Jersey requiring 5-7 years of experience, a Master's degree or higher, and proficiency in Python and AWS. I've found 27 positions that match your criteria.

Principal Data Scientist

New Jersey, United States

5-7 years

Master's

Python

AWS

Can you help me to analyze the job description and company culture?

Sure. Here's the analysis:

Job Analysis:

The Principal Data Scientist role at Autodesk is essential for pioneering data-driven initiatives within the Architecture, Engineering, and Construction (AEC) industry. The core purpose of this position is to leverage machine learning and advanced analytics to reshape product functionalities and enhance decision-making processes within the organization. The responsibilities require a deep technical proficiency in data science, encompassing tasks such as architecting scalable data pipelines, leading complex experimentation, and developing analytical solutions that provide actionable insights. A candidate will face challenges that include managing large datasets from diverse sources, navigating the intricacies of machine learning model deployment, and working collaboratively with cross-functional teams to integrate AI advancements into existing products. Success in this role involves not only achieving measurable business outcomes but also fostering a culture of innovation and mentorship among peers, especially in emergent AI technologies, all while upholding responsible AI practices.

Company Analysis:

Autodesk operates at the intersection of design and technology, leading the way in transforming the AEC industry through innovative software solutions. The company positions itself as a disruptive force within the market, emphasizing collaboration and creativity with a user base exceeding 100 million. This growth-focused and innovation-driven environment suggests that the role of Principal Data Scientist is strategic to Autodesk's mission, aimed at enhancing the capabilities of flagship products like AutoCAD and Revit. The company culture values diversity, inclusion, and continuous learning, which implies that candidates should not only be technically skilled but also thrive in collaborative and evolving work settings. This role is likely integrated within a cross-functional team that drives significant visibility and influence in shaping Autodesk's technological trajectory, making it pivotal for both individual growth and the company's long-term objectives.

Mock up some interview questions based on the job description.

Absolutely. Here are some mock interview questions that could come up:

Describe a time when you led a data science project that involved cross-functional collaboration. What challenges did you face, and how did you overcome them?
Tell me about a complex problem you solved using machine learning techniques. What was your approach, and what was the outcome?
Can you give an example of how you've mentored others in the field of data science? What was the impact on your team?
Discuss a situation where you had to convince stakeholders to adopt a data-driven approach. How did you present your case?
How would you approach developing a scalable data pipeline for analyzing large datasets in a cloud environment?
What methods would you employ to validate hypotheses and ensure your statistical models are robust?
Describe your experience with a specific deep learning framework like TensorFlow or PyTorch. How did you use it to deploy a neural network?
Imagine you are tasked with integrating a new AI technique into an existing product. How would you assess its potential impact on the current system and its users?
If you faced conflicting priorities from different stakeholders regarding data initiatives, how would you manage the situation?
Why are you interested in working for Autodesk specifically, and how do you see your career aligning with our mission?
What excites you most about the role of Principal Data Scientist at Autodesk, especially within the AEC industry?
What questions do you have about our data science team, our tools, or the projects you would be working on?
How do you stay current with advancements in data science and AI? Can you share a recent trend that has caught your attention?
What strategies do you employ to ensure ethical considerations are integrated into your data science projects?

Job Details

Overview Company

Principal Data Scientist

Autodesk

a day ago

Highlight

RemoteFull-time5+ yearsSenior

Summary

Autodesk is seeking a Principal Data Scientist, Generative AI to join their team remotely or in a hybrid capacity on the East Coast of the United States. The role involves building cutting-edge foundation models and generative AI tools for the AEC industry.

About the Role

As a Principal Data Scientist, you will drive strategic data science initiatives, analyze large-scale datasets, and develop advanced data visualization strategies. You will architect scalable data pipelines, lead experimentation and advanced statistical modeling, and develop analytical solutions and interactive dashboards. You will also mentor other data scientists and collaborate cross-functionally to define and execute data-driven strategies.

About You

Required:

Master's degree (or higher) in Computer Science, Business Analytics, Data Science, Management Information Systems, Engineering, or another quantitative discipline OR a Bachelor's degree with extensive industry experience.
5-7 years of relevant work experience in data science, machine learning, or AI, OR extensive applied research experience through a doctoral program.
Strong understanding of statistical and machine learning techniques.
Proficiency in Python for large-scale data analysis.
Hands-on experience with data visualization tools like Matplotlib, Seaborn, Plotly, or BI platforms like Power BI or Tableau.
Proficiency in distributed computing frameworks like Spark or Ray.
Experience with relational data modeling and SQL.
Experience with model monitoring and CI/CD pipelines.
Expertise with cloud computing and MLOps, including AWS or equivalent cloud platforms.
Strong analytical and problem-solving skills.
Excellent communication and storytelling skills.

Preferred:

Background in Architecture, Engineering, or Construction.
Deep learning experience with frameworks like TensorFlow or PyTorch.
Experience leading cross-functional teams and mentoring data scientists.
Familiarity with responsible AI principles, including bias mitigation, explainability, and ethical AI practices.

Autodesk

Autodesk is changing how the world is designed and made.

Our technology spans architecture, engineering, construction, product design, manufacturing, and media and entertainment. We empower innovators everywhere to solve challenges, big and small. From greener buildings to smarter products and more mesmerizing blockbusters, Autodesk software helps our customers design and make a better world for all.

Over 100 million people use Autodesk software, like AutoCAD, Revit, Maya, 3ds Max, Fusion 360, SketchBook, and more, to unlock their creativity and solve important design, business, and environmental challenges. Our software runs on both personal computers and mobile devices. It taps the infinite computing power of the cloud to help teams around the world collaborate, design, simulate, and fabricate their ideas in 3D.

We provide exceptional compensation and benefit packages, and we’d love for you to join us. We’re proud to be an equal opportunity employer, and we consider all qualiﬁed applicants without regard to race, gender, disability, veteran status, or other protected category. To see our culture in action, check out #AutodeskLife.

We are headquartered in the San Francisco Bay Area and have over 10,000 employees worldwide.