Data Scientist, Advanced Talent Analytics
Arden Hills, MN, US, 55112
Full Time Mid-level / Intermediate USD 103K - 197K
Boston Scientific
Boston Scientific is dedicated to transforming lives through innovative medical solutions that improve the health of patients around the world.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
- Minimum of 2 years of experience supporting workforce planning or conducting predictive analytics using machine learning techniques (both supervised and unsupervised)
- Demonstrated technical proficiency in assessing data and statistical analyses to support business needs; experience with Natural Language Processing, predictive modeling, and forecasting methods; proficiency in R
- Experience in data engineering, including pulling, cleaning, validating, integrating, and evaluating large datasets from multiple structured and unstructured sources; experience with Athena or SQL preferred
- Proficiency in data visualization and reporting, including use of platforms such as Tableau; ability to respond to data-related inquiries using R, SQL, and Excel
- Demonstrated experience applying analytical skills to define business problems, assess needs, present solutions, and communicate findings throughout a project lifecycle
- Proven ability to approach complex data and ambiguous business issues with structured problem-solving techniques
- Strong attention to detail, including the ability to validate data accuracy and ensure clear presentation of findings
- Ability to translate complex data and insights into clear and concise narratives for a variety of audiences
- Ability to work effectively in a global, cross-functional team environment and build collaborative partnerships across the organization
Preferred qualifications:
- Advanced degree or coursework in a relevant field such as Business Analytics, Human Resources Management, People Analytics, or Industrial/Organizational Psychology
- Experience with survey methodology and design for business units or enterprise-wide initiatives
- Knowledge of competency modeling and assessment validation practices
- Familiarity with technologies such as Robotic Process Automation (RPA), Artificial Intelligence (AI), or other advanced analytics tools used in data analysis and insights generation
Requisition ID: 604204
Minimum Salary: $103700
Maximum Salary: $197000
The anticipated compensation listed above and the value of core and optional employee benefits offered by Boston Scientific (BSC) – see www.bscbenefitsconnect.com--will vary based on actual location of the position and other pertinent factors considered in determining actual compensation for the role. Compensation will be commensurate with demonstrable level of experience and training, pertinent education including licensure and certifications, among other relevant business or organizational needs. At BSC, it is not typical for an individual to be hired near the bottom or top of the anticipated salary range listed above.
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).
For MA positions: It is unlawful to require or administer a lie detector test for employment. Violators are subject to criminal penalties and civil liability.
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!
At Boston Scientific, we recognize that nurturing a diverse and inclusive workplace helps us be more innovative and it is important in our work of advancing science for life and improving patient health. That is why we stand for inclusion, equality, and opportunity for all. By embracing the richness of our unique backgrounds and perspectives, we create a better, more rewarding place for our employees to work and reflect the patients, customers, and communities we serve.
Boston Scientific Corporation has been and will continue to be an equal opportunity employer. To ensure full implementation of its equal employment policy, the Company will continue to take steps to assure that recruitment, hiring, assignment, promotion, compensation, and all other personnel decisions are made and administered without regard to race, religion, color, national origin, citizenship, sex, sexual orientation, gender identify, gender expression, veteran status, age, mental or physical disability, genetic information or any other protected class.
Please be advised that certain US based positions, including without limitation field sales and service positions that call on hospitals and/or health care centers, require acceptable proof of COVID-19 vaccination status. Candidates will be notified during the interview and selection process if the role(s) for which they have applied require proof of vaccination as a condition of employment. Boston Scientific continues to evaluate its policies and protocols regarding the COVID-19 vaccine and will comply with all applicable state and federal law and healthcare credentialing requirements. As employees of the Company, you will be expected to meet the ongoing requirements for your roles, including any new requirements, should the Company’s policies or protocols change with regard to COVID-19 vaccination.
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Tags: Athena Business Analytics Data analysis Data quality Data visualization Engineering Excel Industrial Machine Learning NLP Predictive modeling R Research Robotics RPA SQL Statistics Tableau Testing
Perks/benefits: Career development Health care Relocation support Salary bonus
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