Analytics Leader

Há 4 dias

Porto Alegre, Rio Grande do Sul, Brasil beBeeData Tempo inteiro US$108.365 - US$137.455
Lead Data Scientist

Job Summary:

We are seeking a highly skilled data scientist to lead our analytics initiatives. As a key member of our team, you will be responsible for designing and implementing embedded analytics solutions to empower our associates and provide a personalized service experience to our clients.

In this role, you will take ownership of leveraging your skills in NLP, Python, and SQL to develop and deploy machine learning models that improve business processes and outcomes.

As a data science leader, you will collaborate closely with multiple stakeholders to identify, design, develop, and implement data-driven solutions to address business problems.

You will have the opportunity to work on a variety of analytics projects, including developing and deploying predictive models to drive business growth.

Responsibilities:

  • Design and implement embedded analytics solutions using NLP, Python, and SQL.
  • Collaborate with multiple stakeholders to identify, design, develop, and implement data-driven solutions to address business problems.
  • Develop and deploy machine learning models to improve business processes and outcomes.

Requirements:

  • Bachelor's degree in relevant coursework or a related field with 5+ years of experience in data science, or master's degree in a related field with 3+ years of experience in data science.
  • Strong programming skills in Python, R, or similar languages.
  • Proficiency in data manipulation and analysis using SQL and other tools (Databricks, AWS).
  • Strong understanding of statistical methods and data modeling techniques, including neural networks.
  • Experience with data visualization tools (e.g., Tableau, PowerBI, advanced Excel).
  • Proven experience in crafting, testing, and deploying ML projects in Python with keen focus on eliciting optimal outputs.
  • Experience working directly with business stakeholders to understand needs and translate into data science requirements, techniques, and solutions.

What We Offer:

  • A hybrid work model with opportunities for remote work.
  • Support from a collaborative team of data scientists and engineers.
  • The chance to work on a variety of analytics projects and contribute to the growth of the company.

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