Data Scientist (Senior)
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Job description
Experteer Overview As a Data Scientist at team.Blue, you will translate data into business value by building predictive models and insights that drive strategy.You will collaborate with leaders, product managers, and engineers to design data-driven solutions aligned with company goals.Expect to tackle complex datasets, forecast trends, and continuously improve analytics capabilities.This role offers the chance to shape decisions and contribute to the organization's mission through impactful data work.Compensaciones / Beneficios- Understand key business challenges and develop data-driven solutions aligned with strategic objectives- Define the data science roadmap and priorities with leadership- Build, deploy, and maintain predictive models to forecast trends and optimize processes- Analyze large datasets and present actionable insights to technical and non-technical stakeholders- Advise on and improve the data science pipeline to meet analytics needs- Collaborate with business leaders, product teams, and engineers to ensure data solutions meet requirements- Stay updated with the latest data science, AI, and ML trends to enhance capabilitiesResponsabilidades- 5+ years of experience in data science with a track record of solving complex business problems using data- Strong understanding of business operations and ability to align data science with business objectives- Proficiency in Python, R, or Scala- Experience with ML frameworks (TensorFlow, Scikit-learn)- Experience with SQL and large datasets- Familiarity with cloud platforms (AWS, Azure) and big data tools (Hadoop, Spark)- Degree in Data Science, Statistics, Mathematics, Computer Science, or related field- Excellent communication to translate insights into business recommendationsRequisitos principales-
Requirements
5+ years of experience in data science with a track record of solving complex business problems using data
- Strong understanding of business operations and ability to align data science with business objectives
- Proficiency in Python, R, or Scala
- Experience with ML frameworks (TensorFlow, Scikit-learn)
- Experience with SQL and large datasets
- Familiarity with cloud platforms (AWS, Azure) and big data tools (Hadoop, Spark)
- Degree in Data Science, Statistics, Mathematics, Computer Science, or related field
- Excellent communication to translate insights into business recommendationsRequisitos principales