Job Requisition ID #
23WD73736
Position Overview
The Enterprise Data and Analytics (EDA) organization is on a mission to empower accurate decisions using certified customer data and insights product across all Autodesk customer-facing teams. The data science team is at the heart of developing and delivering Decision Intelligence solutions for both strategic and operational customer engagement teams. Our team applies descriptive, predictive, prescriptive, experimental, and causal methodologies to facilitate and orchestrate decisioning for Autodesk's customer experience teams. You will work with program management, analytic engineering, and federated analytics teams to deliver unified decision experiences. You will work on multiple problem areas in customer success, marketing, and sales such as retention/churn prediction, upsell/cross-sell/growth potential, customer segmentation, benchmarking, propensity scoring, attribution modeling, what-if scenarios and next-best action.
We are looking for a dynamic Data Science Sr. Manager to join our leadership team. You will lead our diverse data science team and drive our data science Decision Intelligence initiatives.You are excited about the challenges that come with growth, and passionate about connecting people together through a positive and inclusive culture. You have a combination of technical expertise, people management skills, operating with strategic vision for translating business objectives into appropriate statistical problems that facilitate business decision experiences that promote evidence-based culture.
You will report into the Sr. Director Enterprise and Analytics. Depending on you location you can work remote or hybrid.
Responsibilities
You will own the operational and delivery aspects of the data science organization. We expect leadership and close collaboration and alignment with leadership strategic initiatives that foster Decision Intelligence across AutodeskYou are a critical thinker, strategic thought partner, who exhibits extreme ownership who thrives on executionWork with your team, executives, and the broader data organization to deliver strategic insights and build data products to lead operational efficiency and help Autodesk meet its goalsLead the end-to-end development and deployment of data science projects related to retention, churn, license compliance, lead generation, segmentation, and attribution, from problem formulation to model implementation and evaluationManage a portfolio of projects in collaboration with EDA program management, ensuring delivery and alignment with business objectives for marketing, sales, and customer successCollaborate with cross-functional teams, including data engineers, product managers, and business stakeholders, to define project requirements and deliverablesProvide technical guidance and mentorship to the data science team, encouraging a culture of continuous learning and innovationConduct regular performance evaluations, provide feedback, and identify opportunities for skills development and growthStay informed about industry trends and best practices in advanced analytics and data science and apply them to enhance the team's capabilities and deliverables
Minimum Qualifications
M.S.in a quantitative field (mathematics, statistics, or similar STEM field)8+ years of experience in data science, machine learning, or a related field3+ years of experience managing teamsProficiency in programming languages such as Python or R, and experience with data analysis using SQLExperience with statistical modeling, machine learning algorithms, experimentation, and data visualization techniquesThe ability to present complex concepts to all levels of stakeholdersExperience building relationships to influence product partners with data, analysis, and leading cross-functional projects that depend on the contributions of others in multiple disciplinesIn-depth knowledge of data manipulation, data integration, and database managementThe ability to align data strategies with business objectivesThe ability to identify the right business problems to solveThe ability to derive actionable insights from complex data
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About Autodesk
Welcome 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 transparency
Salary is one part of Autodesk's competitive compensation package. For U.S.-based roles, we expect a starting base salary between $160,000 and $258,720. Offers are based on the candidate's experience and geographic location, and may exceed this range. 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.
Equal Employment Opportunity
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.
Diversity & Belonging
We 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-belonging
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