Autodesk Data Science Manager- Remote East Coast in Boston, Massachusetts
Job Requisition ID #
Autodesk's BuildingConnected is integral for our pre-construction solutions. We enable the future of construction as the definitive source of information to help customers win more work, connect with the right people or job, and reduce risk. Our beautiful, user-friendly software is solving real problems for real people. At Autodesk's BuildingConnected, we strive to connect every business in the $10 trillion construction industry and improve the lives and jobs of millions of hardworking construction professionals.
As data scientists at Autodesk's BuildingConnected, our research brings best-in-class data driven products to the construction industry. From natural language processing models that pinpoint critical construction data to recommendation systems that highlight the right workers for a job, we deliver cutting edge solutions to the construction industry. If you like the idea of effecting change on a global scale and want to work with a thoughtful team that is building useful products for people in a hard-working industry, we should chat.
Autodesk Construction Solutions R&D team is looking for a Lead Data Scientist to manage a portfolio of projects and a lead a team of talented data scientists. The team primarily focuses on solving business problems using NLP, computer vision and structured data processing. The successful candidate will own the process of building machine learning models through all phases of development, from design through training, evaluation and validation, and partner with engineering teams to operationalize them in scalable and resilient production systems.
Locations: Boston, MA; Atlanta, GA; Herndon, VA; or San Francisco, C
Lead a team of enthusiastic data scientists and machine learning engineers and provide necessary thought leadership.
Partner closely with product teams, business leaders and other stakeholders to identify innovative AI/ML approaches and deliver business value in a structured, repeatable, andscalable way.
Manage multiple projects and report the progress, risks, obstacles etc. to stakeholders on a regular basis.
Create and monitor ML performance metrics to ensure appropriate model performance.
Collaborate with application developers and DevOps engineers to deploy necessary ML models in production with quality
Utilize appropriate data analytics tools to give high level insights to the stakeholders
Perform project management activities like planning, scheduling, tracking and progress reporting of activities.
Collaborate with globally distributed teams.
Master’s/Bachelor's degree in Computer Science, Statistics, Mathematics, Electrical Engineering, Information Sciences, or a quantitative-related field.
6-10 years of professional experience
Minimum of 4 years of experience in applied machine learning roles with experience of releasing ML models to production.
Working knowledge and inclination towards statistical pattern recognition, Machine Learning, Neural Nets, Image Processing and NLP.
Prior experience using NLP techniques such as entity extraction, dependency parsing, named entity recognition, semantic textual similarity, coreference resolution, topic modeling, text classification, transformer networks etc.
Experience working with Flask/Django or equivalentExperience working with OpenCV or similar image processing libraries.
Experience with Python/Scikit-Learn/NLTK
Demonstrated experience planning deliverables, conducting sprints, tracking, and reporting status and technical debt to stakeholders on a regular basis.
2 years of leadership experience hiring, managing, and developing data scientists and/or engineers.
Previous leadership experience
Prior experience with image processing and computer vision such as object detection, image classification, image segmentation, depth perception.
Knowledge about the construction industry (although not a must-have)
Preferred tech stack experience:
Notebook environments like Jupyter and Sagemaker
Python with libraries such as Scikit-learn, PyTorch, and SpaCy
Spark (via PySpark) running on AWS EMR
Data annotation platforms such as FigureEight and Prodigy
Data stores such as S3, Snowflake, and Redshift
Production deployments on AWS Lambda, EMR, and Airflow
Development environment and deployments using Docker
At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.
Are you an existing contractor or consultant with Autodesk? Please search for open jobs and apply internally (not on this external site). If you have any questions or require support, contact Autodesk Careers (Careers%20%3Ccareers@autodesk.com%3E) .
Autodesk is the global leader in design and make technology, including industry-leading 3D design, engineering, and entertainment software and services, that offer customers better outcomes through automation and insights for their design and make processes. With over $3.5 billion in revenue and more than 12,000 employees, Autodesk has established itself as the leading provider of design and make technology that empowers innovators everywhere to achieve the new possible – for products, their businesses and the world. If you've ever driven a high-performance car, admired a towering skyscraper, used a smartphone, or watched a great film, chances are you've experienced what millions of Autodesk customers are doing with our software. With a vision of a better world designed and made for all, Autodesk serves customers in architecture, engineering, and construction; product design and manufacturing; and digital media and entertainment industries. Its customers design, fabricate, manufacture, and build anything by visualizing, simulating, and analyzing real-world performance early in the design process.
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