Additional Locations:Remote; Costa Rica-Coyol; Costa Rica-Heredia; Ireland-Clonmel; Ireland-Galway; US-MA-Marlborough; US-MN-Maple Grove Diversity - Innovation - Caring - Global Collaboration - Winning Spirit - High Performance At Boston Scientific, we'll give you the opportunity to harness all that's within you by working in teams of diverse and high-performing employees, tackling some of the most important health industry challenges. With access to the latest tools, information and training, we'll help you in advancing your skills and career. Here, you'll be supported in progressing - whatever your ambitions. The Talent and Human Resources Analytics function at Boston Scientific is seeking a client-centric analytics professional. Seated within the Global Talent Management Function, this role will focus on delivering data-driven insights that enable Boston Scientific leaders to proactively plan their talent needs; evaluate the effectiveness of their workforce attraction, development, and engagement initiatives; identify past and future trends; and make informed human capital decisions that will drive the ongoing success of the business. Primarily acting as an organizational researcher, this role will provide the Talent Analytics & Insights group with technical expertise, developing analytical models with practical, valuable applications in areas such as strategic workforce planning, attracting and retaining talent, diversity and inclusion, employee engagement, high-potential talent identification and development, and employee development. As a data-driven organization, this role is critical for us to progress our analytical maturity, fully utilizing our HR data lake to predict future trends, identify leading indicators, define data limits, and evaluate program success. Your responsibilities will include: Serve as technical expert, demonstrating fluency in the language of data, and the ability to rapidly translate a client question into a research question. Own the Prediction and Forecasting workstream, building capabilities within HR and cross-functionally using HR data. Provide expert advisory support to Talent Analytics team members by consulting on research study design methodologies and conducting analyses based on available data. Perform deep-dive analyses using traditional statistical, supervised, and unsupervised machine learning techniques to deliver insights on root causes and make recommendations on how to best continuously improve. Act as the TA&I data steward, identifying data quality challenges and working with business process owners to drive data to consistency. Offer subject matter expertise in expanding data, designing and managing qualitative and quantitative data collection, and capturing insights to further enhance the value derived from our HR data lake. Proactively identify research possibilities, mining our data to provide practical talent insights and value to the business. Join and inform collaborative forums within BSC, sharing methodologies and expertise across functions. Integrate workforce planning and data elements into BSC's planning ecosystem, testing long-held beliefs before they are systemized. Minimum Qualifications: Bachelor's degree. 3+ years of experience delivering value in analytics roles, ideally at organizations with progressive approaches to the field that have provided exposure to the latest People Analytics practices. 2+ years of experience conducting analyses for and informing workforce planning or predicting supply and demand. Experience assessing data and performing statistical analysis to address business questions. Experience in natural language processing, building predictive equations, and modeling scenarios via both supervised and unsupervised machine learning techniques. Well-versed in a variety of forecasting methods. Fluent in R programming. Experience cleaning, validating, integrating, and evaluating large datasets from disparate and unstructured sources. Experience me ging datasets from disparate sources and reporting findings in various formats and mediums (Athena/SQL experience preferred). Experience using visualization platforms to analyze data and share results (Tableau preferred). Preferred Qualifications and Competencies: Master's or PhD-level coursework or degree in Business Analytics, HRM/People Analytics, or I/O Psychology. Survey methodology and design at the business unit or enterprise level. Competency modeling and assessment validation. Experience using RPA, AI, and other technologies in the Analytics space. Consulting skills applied to problem definition, needs assessment, presentations of solutions, and communication. Strong problem-solving skills exhibited by the ability to approach complex, ambiguous business issues with creative ideas and solutions. Detail-orientation - Looks for anomalies, re-checks analysis, justifies numbers, and makes presentations aesthetically pleasing. Storytelling with Data - Aptitude to communicate complex data and insights in a succinct and compelling way. Collaboration - At ease working across a global matrix organization, effective at developing close working partnerships. Requisition ID:576591 As a leader in medical science for more than 40 years, we are committed to solving the challenges that matter most - united by a deep caring for human life. Our mission to advance science for life is about transforming lives through innovative medical solutions that improve patient lives, create value for our customers, and support our employees and the communities in which we operate. Now more than ever, we have a responsibility to apply those values to everything we do - as a global business and as a global corporate citizen. So, choosing a career with Boston Scientific (NYSE: BSX) isn't just business, it's personal. And if you're a natural problem-solver with the imagination, determination, and spirit to make a meaningful difference to people worldwide, we encourage you to apply and look forward to connecting with you! #LI-Remote Boston Scientific is an Equal Opportunity Employer Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Disability, Veteran