Director - Data Science

Company Overview Accordion works at the intersection of sponsors and management teams throughout every stage of the investment lifecycle, providing hands-on, execution-focused support to elevate data and analytics capabilities. So, what does it mean to work at Accordion? It means joining 1,000+ analytics, data science, finance & technology experts in a high-growth, agile, and entrepreneurial environment while transforming how portfolio companies drive value. It also means making your mark on Accordion’s future—by embracing a culture rooted in collaboration and a firm-wide commitment to building something great, together. Headquartered in New York City with 10 offices worldwide, Accordion invites you to join our journey. Data & Analytics (Accordion | Data & Analytics) Accordion's Data & Analytics (D&A) team delivers cutting-edge, intelligent solutions to a global clientele, leveraging a blend of domain knowledge, sophisticated technology tools, and deep analytics capabilities to tackle complex business challenges. We partner with Private Equity clients and their Portfolio Companies across diverse sectors, including Retail, CPG, Healthcare, Media & Entertainment, Technology, and Logistics. D&A team delivers data and analytical solutions designed to streamline reporting capabilities and enhance business insights across vast and complex data sets ranging from Sales, Operations, Marketing, Pricing, Customer Strategies, and more. Role Overview: As Director - Data Science you will be leading one or more client projects to deliver various Advance Analytic solutions. (S)he would be working directly with the clients and guide the team in building a robust solution solving client’s business problem as per agreed timelines through application of business knowledge, project management and technical expertise. What You will do: We expect you to manage a team and work on complex, cross-functional analytical and research-oriented projects using advanced computational, machine learning and deep learning algorithms. You will be responsible for developing proprietary algorithms for solving complex business problems while handling large amount of structured and unstructured data. You will be expected to use relevant knowledge of computer science fundamentals, distributed computing, and machine learning to help build scalable analytical solutions. You will ensure that the data science team works closely with our technical team and core business teams for design and development of the analytical solutions. You would need to combine business knowledge with statistical and computational techniques to provide actionable business solutions for our clients. Ideally, you have: 5-8 years of experience in applying concepts in Data Science, Machine Learning, Algorithm development, Advanced Computing or Statistical Modeling to solve real-world problems. Practical experience in at least one of the following programming languages: R or Python.