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Boston Scientific · 2 months ago

Lead Data Scientist, Advanced Talent Analytics

Marlborough, MA

Full-time

Hybrid

Senior Level, Lead/Staff

$104K/yr - $197K/yr

3+ years exp

Boston Scientific is a leader in medical science committed to solving important health industry challenges. The Lead Data Scientist will focus on delivering data-driven insights to help leaders plan talent needs and evaluate workforce initiatives, while providing technical expertise in analytics and predictive modeling.

Health CareMedicalMedical Device

No H1B

Responsibilities

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

Qualification

Data SciencePredictive ModelingNatural Language ProcessingMachine LearningR ProgrammingData EngineeringAI UtilizationData VisualizationStatistical AnalysisCollaborationProblem SolvingAttention to DetailCommunication Skills

Required

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

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

Benefits

Compensation for non-exempt (hourly), non-sales roles may also include variable compensation from time to time (e.g., any overtime and shift differential) and annual bonus target (subject to plan eligibility and other requirements).

Compensation for exempt, non-sales roles may also include variable compensation, i.e., annual bonus target and long-term incentives (subject to plan eligibility and other requirements).