Principal Data Science Engineer Job Requisition ID # 24WD82329
Responsibilities: Research, design, and develop computer and network software or specialized utility programs. Analyze user needs and develop software solutions, applying principles and techniques of computer science, engineering, and mathematical analysis. Update software or enhance existing software capabilities.
Analyze, design, program, debug, and modify software enhancements and/or new products used in local, networked, cloud-based or internet-related computer programs. Develop, create, and modify general computer applications software or specialized utility programs. Design, build, test and deploy data products. Design, build, and maintain data science micro-services. Work on a wide variety of challenging problems in information retrieval, natural language processing, unsupervised and supervised learning, crowdsourcing, and data enrichment. Deliver value early and welcome feedback in the interests of creating a product that is fit-for-purpose. Communicate technical vision in clear terms to both technical and non-technical team members. Demonstrate and encourage software development best practices across the team. Apply new technologies and tools to help DHX accomplish its goals. Deliver engineering excellence in data science by spearheading software development best practices. Establish a culture of rapid prototyping and experimentation through modern development practices including continuous integration and application orchestration using Cloud Formation. Write machine learning algorithms for predicting the next best action for a customer, recommending content, improving information retrieval and processing video, speech and natural language.
Minimum Requirements: Master's degree in Computer Science, Computer Engineering, or related field and 2 years of experience in the job offered or in a software engineering-related occupation.
Special Requirements: Utilize the following programming languages: Python, Java, Scala, Julia or C++ to design and develop software systems for scalable services; Apply knowledge of SQL and information management to build analytical pipelines; Data structures to extract, store and transform data consistently and reliably for customer facing products; Manage cross functional teams to deliver software engineering projects; Assist in designing strategy for service-oriented architecture; Facilitate software development best practices across the team; Position also requires at least one semester of graduate-level coursework in each of the following skills:
Algorithmic design to write scalable reliable machine learning models; Utilize AWS to build infrastructure for machine learning applications including deploying, monitoring and maintaining customer facing micro services; Utilize sklearn, tensorflow, pytorch and other open source libraries to build machine learning models. Must be available to work projects at various, unanticipated sites throughout the United States. Telecommuting is permitted.
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Salary transparency Salary is one part of Autodesk's competitive compensation package. For U.S.-based roles, we expect a starting base salary between $186,200 - $279,400/year. Offers are based on the candidate's experience and geographic location. In addition to base salaries, we also have a significant emphasis on annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.
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