Data Scientist, Advanced Talent Analytics

Data Scientist, Advanced Talent Analytics

Work mode: Hybrid

Onsite Location(s): Marlborough, MA, US, 01752

Additional Location(s): US-MN-Arden Hills; 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.

About the Role

The People Analytics function at Boston Scientific is seeking a client-centric analytics professional. Seated within the Organization Transformation team, this role is focused on delivering data-driven insights that enable Boston Scientific leaders to proactively plan their talent needs; evaluate the effectiveness of workforce attraction, development, and engagement initiatives; identify past and future trends; and make informed human capital decisions that drive business success.

Primarily acting as an organizational researcher, this role provides 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, employee engagement, high-potential talent identification & development, and employee development.

As a data-driven organization, this role is critical to advancing our analytical maturity by fully utilizing our HR data lake to predict future trends, identify leading indicators, define data limits, and evaluate program success.

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. Boston Scientific will not offer sponsorship or take over sponsorship of an employment visa for this position at this time. Relocation assistance is not available for this position at this time.

Your Responsibilities Will Include:

• Be a technical expert, fluent in the language of data and quickly able to translate a client question into a research question

• Use your technical expertise in data science to lead the prediction and forecasting workstream and build capabilities within HR and cross-functionally using HR data

• Test and validate AI-driven analytical models to ensure accuracy

• Serve as an expert advisor to Talent Analytics team members, 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 for continuous improvement

• Act as the TA&I data steward, identifying data quality challenges and working with business process owners to drive data consistency

• Provide SME expertise in the design and management of qualitative and quantitative data collection and capture to maximize value from the HR data lake

• Proactively identify research opportunities by mining data to generate practical talent insights for the business

• Participate in collaborative forums within Boston Scientific, sharing methodologies and expertise across functions

• Integrate workforce planning and data elements into Boston Scientific's planning ecosystem, challenging long-held assumptions before they are systemized

Required Qualifications:

• Bachelor's degree in Business Analytics, HRM/People Analytics, I/O Psychology, or related field

• Minimum of 3 years' experience delivering value in analytics roles

• Minimum of 2 years' experience conducting analyses for workforce planning or predicting supply and demand using supervised and unsupervised machine learning

• Technical expertise in natural language processing, predictive modeling, scenario modeling, and forecasting methods

• Proficiency in R

• Experience with data engineering tasks such as data cleaning, validation, and integration from large and unstructured sources

• Use of AI to drive efficiency in analytics

• Proven experience consulting with stakeholders to define business needs and deliver data-informed solutions

• Demonstrated ability to solve complex and ambiguous problems using analytical rigor and creative thinking

• Strong attention to detail with a track record of producing high-quality, accurate analysis and reporting

• Demonstrated skill in communicating complex data insights in a clear and compelling narrative

• Proven ability to work effectively in a highly collaborative, global, and matrixed team environment

Preferred Qualifications:

• Master's or PhD-level coursework or degree in Business Analytics, HRM/People Analytics, or I/O Psychology

• Experience in survey methodology and design at the business unit or enterprise level

• Background in competency modeling and assessment validation

• Experience using RPA, AI, or other advanced technologies in the analytics space

• Experience with Athena and SQL for data extraction

• Proficiency with Tableau, SQL, and Excel for data visualization and reporting