12 часов назад
Data Scientist Senior - People Analytics & Quantitative Insights (Machine Learning)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Scientist Senior - People Analytics & Quantitative Insights (Machine Learning): Developing workforce-data analyses, dashboards, and predictive models that support strategic and operational HR decisions with an accent on statistical reasoning, data modeling, and quantitative insights. Focus on analyzing large structured and unstructured datasets, leading machine learning experiments, and presenting actionable recommendations to technical and non-technical stakeholders.
Location: In-office in Pittsburgh, Pennsylvania (15222), United States
Company
is a financial services company focused on delivering customer solutions and managing enterprise risk.
What you will do
- Partner with HR stakeholders to identify analytical opportunities using workforce data.
- Lead data gathering, processing, mining, and analysis across large structured and unstructured datasets.
- Develop statistical models and machine learning algorithms to predict business outcomes and recommend actions.
- Design dashboards and visualizations that connect HR metrics with business outcomes.
- Lead analytical experiments focused on product and process optimization.
- Present data-driven insights and collaborate with data architects, analysts, engineers, and visualization experts.
Requirements
- Master’s degree preferred; an equivalent combination of education, certifications, and experience may be considered.
- 5+ years of industry-relevant experience.
- Experience with quantitative analysis, statistical reasoning, data modeling, data mining, and machine learning.
- Proficiency with SAS, Python, or R and query/database access tools.
- Ability to communicate findings to technical and non-technical audiences.
- Employment visa sponsorship and STEM OPT participation are not available.
Culture & Benefits
- In-office work environment with an emphasis on inclusion, support, and work-life balance.
- Medical, prescription, dental, vision, life, and disability coverage options.
- 401(k) matching, pension, stock purchase plans, and dependent-care support.
- Educational assistance, wellness programs, paid holidays, parental leave, and 15–25 vacation days depending on career level.
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