Senior Data Scientist, Autodesk
$134-170k
In addition to base salaries, we also have a significant emphasis on annual cash bonuses, commissions for sales roles, stock grants
3D design, engineering & entertainment software
Be an early applicant
3D design, engineering & entertainment software
1001+ employees
Be an early applicant
$134-170k
In addition to base salaries, we also have a significant emphasis on annual cash bonuses, commissions for sales roles, stock grants
1001+ employees
Company mission
To empower innovators with design and make technology so they can achieve the new possible.
Role
Who you are
- Master’s degree in Data/Business Analytics, Data/Computer Science, Engineering or related field and two (2) years of experience in the job offered or in a data science-related occupation. Some telecommuting is permitted
- Special Requirements: Position requires at least two (2) year of experience in each of the following skills:
- Utilize knowledge of Data Mining & Machine Learning to create predictive models tailored to customers' business needs, enabling proactive decision-making
- Utilize knowledge of Data Science and Exploratory Data Analysis to understand customer’s journey and identify areas for improvement
- Utilize knowledge of Python and Bash scripting for AI/ML process automation, workflow optimization, and application deployment
- Position requires at least one semester of graduate-level coursework or some experience in each of the following skills:
- Utilize knowledge of Deep Learning and Computer vision algorithms to automate manual processes, streamline operations, and improve efficiency of products that involve visual data (like images, videos) analysis
- Utilize knowledge of Big Data tools like AWS, PySpark, SQL to perform data analysis on large datasets
- Utilize knowledge of Airflow and AWS Glue to automate the extraction of data from various sources such as databases, APIs, files, and streaming platforms, and to automate Machine Learning workflow
- Utilize knowledge of BI tools like Looker and Snowflake to automate reporting of critical metrics and to build self-served analytical dashboards
- Utilize knowledge of Natural Language Processing for text mining and sentiment analysis to summarize and extract key insights from qualitative data sources, such as surveys, twitter tweets, and news
- Utilize knowledge of Machine Learning and Deep Learning algorithms, such as LSTMs and Neural Networks, to detect intricate patterns within experimental data, providing researchers with data-driven insights to aid in hypothesis testing and experiment design
- Utilize knowledge of MS Excel 's powerful data analysis features, such as pivot tables, charts, and formulas, to analyze and visualize large datasets
What the job involves
- Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software
- Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets. Visualize, interpret, and report data findings. May create dynamic data reports
- Work on a variety of problems that seek to better understand how customers use Autodesk products and what drives deeper adoption and usage of these products
- Apply your quantitative analysis, data mining and knowledge of machine learning algorithms to build models that make sense of user needs, usage patterns, factors that drive deeper adoption and contribute to subscriber churn
- As part of a technical team, actively work on the productization of machine learning pipelines i.e., define architecture and solutions for automating data extraction, data processing and the entire machine learning lifecycle; and actively participate in the maintenance and improvement of existing models/pipelines
- Write algorithms to efficiently detect and analyze patterns in very large datasets in order to mine useful insights that could Influence product development, strategy and roadmap prioritization through the application of analysis. Leverage knowledge of the Data warehouse to develop dashboards and reports based on the analysis to convey insights to the stakeholders
- Tackle complex problems requiring a creative mindset to find innovative and elegant solutions. Some telecommuting is permitted
Application process
- End Date: December 4, 2025
Our take
Autodesk supplies software that enables teams to collaborate, design, simulate, and fabricate their ideas in 3D, serving a range of industries such as engineering, product design, and entertainment. Founded in 1982, the company first delivered the AutoCAD system, a commercial computer-aided design and drafting software application, that is still seeing updated releases to this day.
Over 100 million people use Autodesk software across various industries and applications – in some of which it remains nearly irreplaceable. The company has an impressive history of diversification, which it continues to this day. For example, the 2022 acquisition of Moxion, a cloud-based platform for digital dailies used by leading filmmakers, bolstered the company’s offerings for the media and entertainment industry.
The rise of AR and VR technologies is driving modern growth in the computer-aided design market, creating space for Autodesk to expand further. Additionally, a shift to the popular SaaS model positions the company to seek further success.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
4% employee growth in 12 months
Company
Company HQ
SoMa, San Francisco, CA
Leadership
Andrew Anagnost
(CEO & President)Has worked at the company since 1997, including as CMO and Senior Vice President of Business Strategy and Marketing. Became CEO in 2017.
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