10 дней назад
Lead Data Scientist
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Lead Data Scientist (Python/SQL, Marketing Analytics): Analyzing campaign and marketing data to measure performance, identify trends, and generate actionable business insights with an accent on experimentation, statistical analysis, and KPI evaluation. Focus on designing and interpreting A/B tests, building analytical reports and dashboards, and translating complex datasets into decisions for hospitality-sector stakeholders.
Location: Montevideo, Uruguay
Company
is an AI services provider that combines data science, technology, and human expertise to help clients solve complex business challenges.
What you will do
- Analyze campaign, marketing, customer, and performance data to identify trends, opportunities, and performance drivers.
- Develop and maintain data analyses using Python and SQL for business and marketing initiatives.
- Define, monitor, and evaluate campaign KPIs and other performance metrics.
- Support A/B testing and experimentation, including test design, analysis, and interpretation.
- Build analytical reports and dashboards using Tableau or similar tools.
- Collaborate with marketing, business, and technical stakeholders to deliver actionable insights and recommendations.
Requirements
- 5+ years of professional experience in data science, data analytics, marketing analytics, campaign analytics, or a related field.
- Strong hands-on experience with Python for data analysis and manipulation.
- Strong proficiency in SQL and experience working with large, complex datasets.
- Experience with A/B testing, experimentation, statistical analysis, and campaign performance metrics.
- Experience translating analytical findings into clear business insights and working with cross-functional stakeholders.
- Advanced English proficiency is required for professional communication and explaining technical concepts.
Nice to have
- Experience with Tableau or similar business intelligence and data visualization tools.
- Advanced academic background in statistics, data science, mathematics, economics, or marketing analytics.
Culture & Benefits
- Flexible working options.
- Certifications and learning paths in AWS, Databricks, Snowflake, and AI.
- Study plans, courses, and access to Udemy Business.
- Career development plans and mentorship programs.
- Company-provided equipment and milestone rewards.
- Benefits may vary by location within LATAM.
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