5 дней назад
Senior Data Scientist (Machine Learning)
144 000 - 165 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Scientist (Machine Learning): Building statistical and machine learning solutions, trustworthy datasets, and analytical models to improve customer behavior insights and product performance with an accent on experimentation, feature engineering, and model optimization. Focus on designing large-scale data projects, analyzing complex datasets across distributed systems and data streams, and mentoring teams on advanced data science techniques.
Location: Hybrid in Denver, Colorado, with three office days per week on Tuesday, Wednesday, and Thursday. Candidates must live in the United States. Relocation to Denver is supported with a bonus.
Base compensation: $144,000–$165,000 per year, plus equity.
Company
is a performance marketing platform that helps brands deliver digital promotions through a network of publishers and rewards consumers for purchases.
What you will do
- Collaborate with stakeholders, architects, and data engineers to discover, define, cleanse, and refine data for analysis and modeling.
- Analyze and build large, complex datasets to generate insights into customer behavior and product performance.
- Develop statistical and machine learning models, selecting appropriate approaches and optimizing model performance.
- Lead large-scale projects, prioritize initiatives by business impact, and inform experimental design.
- Build trustworthy datasets and become an expert in the data ecosystem, including data lakes, distributed systems, and data streams.
- Provide data science mentoring and education across the organization.
Requirements
- Current authorization to work full-time in the United States is required.
- 5+ years of professional data science or machine learning experience with significant business impact.
- Bachelor’s degree in Computer Science, Engineering, Analytics, or a related field.
- Expert-level Python, database manipulation, query languages, and graph data schemas.
- Strong statistical analysis, problem-solving, data storytelling, and applied machine learning skills.
- Experience working with complex data, feature engineering, data lakes, distributed systems, and data streams.
Nice to have
- Spark or PySpark experience.
- Experimental design and time series analysis experience.
- MLOps experience.
- Conference presentations, professional publications, or recognized contributions to data science and machine learning.
Culture & Benefits
- Hybrid work environment with a Denver office.
- Flexible time off and medical, dental, and vision benefits.
- Employee Stock Purchase Program and 401k match.
- Paid parking, snacks, and occasional meals at the Denver office.
- Core values include integrity, boldness, ownership, teamwork, and transparency.
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