4 часа назад
Sr. Associate, Data Scientist
123 684 - 164 868$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Sr. Associate, Data Scientist (Python/machine learning): Building and deploying machine learning models to optimize revenue management and pricing strategies, with an accent on time series forecasting, classification, and actionable business insights. Focus on evaluating and tuning model performance, analyzing large datasets, and translating statistical findings into business decisions.
Location: Remote - USA
Base compensation: $123,684–$164,868 annually, plus discretionary annual bonus and incentive compensation.
Company
is a Blackstone real estate portfolio company providing corporate services across finance, technology, human resources, and operations.
What you will do
- Build and deploy machine learning models for revenue management and pricing optimization.
- Analyze large datasets to generate actionable recommendations for business decisions.
- Collaborate with stakeholders outside the data science team to align analytics initiatives with business goals.
- Test, tune, validate, and continuously improve model performance.
- Document methodologies, processes, and findings for technical and non-technical audiences.
Requirements
- 5–7 years of professional experience in data science, machine learning, software engineering, or a related field.
- Experience building machine learning models, including time series forecasting and classification.
- Advanced Python proficiency with scikit-learn and statsmodels, plus strong SQL skills.
- Strong understanding of evaluation metrics, hyperparameter tuning, statistics, regression, time series analysis, and econometric techniques.
- Experience working in fast-paced environments, managing multiple projects, and reviewing peer code.
- Bachelor’s degree in a relevant field.
Nice to have
- Familiarity with revenue management theory and pricing strategies.
- Master’s degree or Ph.D. in a relevant field.
Culture & Benefits
- Collaborative and inclusive work environment focused on continuous improvement and professional growth.
- Health insurance, wellness benefits, retirement savings plan, 401(k), paid holidays, and paid time off.
- Hybrid work policy, productivity hours, Summer Fridays, and a Work From Anywhere Month.
- In-house and external learning and development opportunities.
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