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Data Scientist, Advanced Talent Analytics

  • Job
    Full-time
    Mid & Senior Level
  • Data
  • Arden Hills

AI generated summary

  • You need a relevant bachelor's degree, 3+ years in analytics, 2+ years in workforce planning, R proficiency, data engineering skills, and experience in data visualization.
  • You will analyze HR data, lead forecasting efforts, advise on study design, ensure data quality, uncover insights, and collaborate across functions to enhance workforce planning.

Requirements

  • 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

Responsibilities

  • 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

FAQs

Do we support remote work?

Yes, we follow a hybrid work model that requires employees to be in our local office at least three days per week.

Is relocation assistance available for this position?

No, relocation assistance is not available for this position at this time.

Will Boston Scientific sponsor a visa for this role?

No, Boston Scientific will not offer sponsorship or take over sponsorship of an employment visa for this position at this time.

What qualifications are required for this role?

A Bachelor’s degree in a relevant field of study and a minimum of 3 years of experience in analytics roles, including 2 years of experience supporting workforce planning or conducting predictive analytics using machine learning techniques.

What technical skills are preferred for the applicant?

Proficiency in assessing data and statistical analyses, experience with Natural Language Processing, predictive modeling, proficiency in R, and experience with data engineering, including SQL or Athena, are preferred.

What kind of analytics will I be performing in this role?

You will perform deep-dive analyses using traditional statistical, supervised and unsupervised machine learning techniques to deliver insights on root causes and recommend continuous improvement actions.

What locations can applicants be based in for this position?

Applicants can be based in Marlborough, MA; Arden Hills, MN; Maple Grove, MN; Spencer, IN; Valencia, CA; or international hub offices in Coyol and Heredia, Costa Rica; Clonmel, Cork, and Galway, Ireland.

What are some key responsibilities of this role?

Key responsibilities include serving as a technical expert, leading the Prediction and Forecasting workstream, advising on research methodologies, conducting analyses, and integrating workforce planning with data elements into the planning ecosystem.

What type of data analysis tools and platforms should candidates be proficient in?

Candidates should be proficient in data visualization and reporting tools like Tableau, and able to respond to data-related inquiries using R, SQL, and Excel.

Is an advanced degree preferred for this position?

Yes, an advanced degree or coursework in fields such as Business Analytics, Human Resources Management, or Industrial/Organizational Psychology is preferred.

What does Boston Scientific value in its workplace culture?

Boston Scientific values diversity, innovation, caring, global collaboration, a winning spirit, and high performance in its workplace culture.

Advancing Science for Life

Manufacturing & Electronics
Industry
10,001+
Employees
1979
Founded Year

Mission & Purpose

At Boston Scientific, we work collaboratively to solve healthcare’s toughest problems by developing solutions that matter most to those suffering from debilitating and life threatening conditions and the healthcare professionals who provide their care. Across 100+ countries, we help providers deliver care more effectively by reducing costs, increasing efficiencies and expanding access to care in order to help more people in more places live longer, healthier lives. We go beyond our mission of transforming patient lives by investing in the future and the well-being of our employees and our planet. Our commitment to sustainability is evident in our Newsweek ranking as the 16th greenest company in the U.S. We also strive to foster a diverse and inclusive work environment and provide opportunities for our 38,000+ employees around the world to serve in their local communities.