Transformative Data Scientist Leader

1 semana atrás


Porto Alegre, Rio Grande do Sul, Brasil beBeeData Tempo inteiro US$180.000 - US$240.000

Unlock Your Potential as a Lead Data Scientist

This is an exciting opportunity to take ownership of scaling data science initiatives focused on behavior analytics. You will empower our associates and provide a personalized service experience to our clients.

You will bring innovative solutions to life across multiple businesses, collaborating closely with stakeholders to identify, design, develop, and implement embedded analytics solutions. Your impact will grow as you lead the design and implementation of data-driven solutions to address small business problems.

You will develop and deploy machine learning models to improve business processes and outcomes, communicating complex analytical findings in a clear and concise manner to both technical and non-technical stakeholders.

Staying current with industry trends, emerging technologies, and best practices in data science and machine learning is essential for success in this role.

Your Responsibilities

  • Design and implement data-driven solutions to address small business problems.
  • Develop and deploy machine learning models to improve business processes and outcomes.
  • Communicate complex analytical findings in a clear and concise manner to both technical and non-technical stakeholders.
  • Stay current with industry trends, emerging technologies, and best practices in data science and machine learning.

Key Skills and Qualifications

  • 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.

Why Choose Us?

  • Courageous team collaboration.
  • Dedicated support from the Analytics team.
  • Opportunities for growth and development.
  • A dynamic and inclusive work environment.
  • Recognition and rewards for outstanding performance.

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