Data Scientist, Advanced Talent Analytics

Additional Location(s): US-MN-Maple Grove; Costa Rica-Coyol; Costa Rica-Heredia; Ireland-Clonmel; Ireland-Cork; Ireland-Galway; US-CA-Valencia; US-IN-Spencer; US-MA-Marlborough

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.

 

 

About the role:
The Talent and HR Analytics function at BSC is seeking a client-centric analytics professional. Seated within the Global Talent Management Function, this role will be focused on delivering data-driven insights which 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 which will drive the ongoing success of the business.

 

Primarily acting as 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 & inclusion, employee engagement, high potential talent identification & 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.

 

While recruitment efforts are primarily focused in the United States (Marlborough, MA; Arden Hills, MN; Maple Grove, MN; Spencer, IN; Valencia, CA) for this role, we will also consider qualified candidates based in the following international hub offices: Coyol and Heredia, Costa Rica; Clonmel, Cork, and Galway, Ireland.

 

Work Mode:
At Boston Scientific, we value collaboration and synergy. This role follows a hybrid work model requiring employees to be in our local office at least three days per week.

 

Relocation Assistance:
Relocation assistance is not available for this position at this time.

 

Visa Sponsorship:
Boston Scientific will not offer sponsorship or take over sponsorship of an employment visa for this position at this time.

 

Your responsibilities will include:

• Serve as a technical expert, fluent in the language of data and able to quickly translate a client question into a research question
• Lead the Prediction and Forecasting workstream, building capabilities within HR and cross-functionally using HR data 
• Advise Talent Analytics team members on research study design methodologies and conduct 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 recommend continuous improvement actions
• Act as the TA&I data steward by identifying data quality challenges and collaborating with business process owners to drive consistency
• Provide SME expertise in the design and management of qualitative and quantitative data collection to expand and enhance the HR data lake
• Identify research opportunities by mining data to uncover practical talent insights and business value
• Participate in and contribute to collaborative forums within BSC, sharing methodologies and expertise across functions
• Integrate workforce planning and data elements into BSC’s planning ecosystem, challenging and testing long-held beliefs before systemization

 

Required qualifications:

• Bachelor’s degree in relevant field of study.
• Minimum of 3 years of experience in analytics roles with demonstrated ability to deliver data-driven insights and recommendations