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Data Scientist
Resumo da oferta
A leading staffing agency is seeking an experienced Data Scientist for a remote, full-time role. The ideal candidate will build machine learning models and perform statistical analysis to optimize business operations. With a focus on collaboration across teams and strong skills in Python and SQL, this role offers competitive compensation along with bonus eligibility. You will work on high-impact projects in a fast-paced environment, leveraging your data-driven insights for executive decision-making.
Serviços
Qualificações
- 5+ years of experience in Data Science or Machine Learning.
- Strong skills in Python and SQL.
- Experience with cloud data warehouses.
Responsabilidades
- Build and deploy machine learning models for optimization.
- Perform statistical analysis and A/B testing.
- Develop dashboards and insights for decision-making.
Conhecimentos
Ferramentas
We’re Hiring | Data Scientist (Remote – Full Time)
- Build and deploy machine learning and predictive models for revenue forecasting and business optimization
- Perform statistical analysis, feature engineering, and A / B testing
- Develop dashboards and insights using Domo for executive decision-making
- Partner closely with Data Engineering, Product, Finance, and Marketing teams
- Explore and prototype AI / ML innovations, including LLMs and generative AI.
Tech Stack: Snowflake | Rivery | dbt | Domo | Python | SQL
- 5+ years of experience in Data Science or Machine Learning
- Strong skills in Python and SQL
- Experience with cloud data warehouses (Snowflake preferred)
- Background in FinTech, SaaS, or data-driven environments is a plus
- Strong business mindset and data storytelling skills
- Advanced English level (C1) required
- 100% remote role
- Competitive compensation with bonus eligibility
- High-impact, data-driven projects
- Collaborative and fast-paced work environment
Interested or know someone who might be a great fit?
Feel free to apply or reach out directly.
* O salário de referência é obtido com base em objetivos de salário para líderes de mercado de cada segmento de setor. Serve como orientação para ajudar os utilizadores Premium na avaliação de ofertas de emprego e na negociação de salários. O salário de referência não é indicado diretamente pela empresa e pode ser significativamente superior ou inferior.