Job Requisition ID #24WD77089About the Digital Experience & Customer Empowerment Data Science Team (DXC-DS)The DXC-DS Team is responsible delivering Machine Learning Features that transform the customer experience for Sales, Marketing, and Customer Success functions at Autodesk.We aim to help our customers, through conversation, personalization, and other intelligent features on our platform. Our team members work extensively with stakeholders across the company, with significant technology leadership and opportunity for impact. We work in a supportive and collaborative way, applying the latest technology and rigorous analysis to solve complex customer problems using ML.Position OverviewReporting to the Sr Manager, Data Science and Machine Learning, you will take charge of the entire data lifecycle for domains, from design to deployment. You will encompass ensuring the seamless operationalization of data assets specifically tailored for the Autodesk Assistant.ResponsibilitiesYou will gather instrumentation requirements by working closely with stakeholders to understand their data needs. Design and implement accurate and complete data collection mechanisms, establishing and maintaining documentation for instrumentation processes and standardsYou will implement best data modeling practices to ensure accuracy, consistency, and scalability across diverse business contextsYou will enforce data quality standards, conducting regular assessments and corrective measuresYou will foster a collaborative environment when working with data engineers, analysts and data scientists to resolve data quality issues promptlyYou will leverage business and technical knowledge to develop production-ready data models, integrating multiple data sourcesThink forward, avoiding oversimplification of complexity, and guide others to avoid hasty conclusions through a data-centric approachHelp promote the important role of precise, data-informed strategies both within and beyond our wallsMinimum Qualifications:Bachelor's degree in Computer Science, Data Science, or EconomicsMinimum of 5 years in data-centric role, such as data management, data engineering, or a data analyticsMinimum of 5 years with data manipulation tools (SQL, python), data workflow, and warehouse tools such as Airflow, Hive, Preso and SnowflakeExperience with ETL tools (e.g. Apache Spark, Apache Kafka, etc.)Minimum of 2 years experience with data modelingMinimum of 2 years experience with data pipelines and data engineeringStrong understanding of data architecture, data modeling, and data integrationProficient in programming languages such as Python, SQL, or others relevant to data operationsLearn MoreAbout AutodeskWelcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.We take great pride in our culture here at Autodesk – our Culture Code is at the core of everything we do. Our values and ways of working help our people thrive and realize their potential, which leads to even better outcomes for our customers.When you’re an Autodesker, you can be your whole, authentic self and do meaningful work that helps build a better future for all. Ready to shape the world and your future? Join us!Salary transparencySalary is one part of Autodesk’s competitive compensation package. Offers are based on the candidate’s experience and geographic location. In addition to base salaries, we also have a significant emphasis on discretionary annual cash bonuses, commissions for sales roles, stock or long-term incentive cash grants, and a comprehensive benefits package.Diversity & BelongingWe take pride in cultivating a culture of belonging and an equitable workplace where everyone can thrive. Learn more here: https://www.autodesk.com/company/diversity-and-belongingAre you an existing contractor or consultant with Autodesk? Please search for open jobs and apply internally (not on this external site).
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