Machine Learning Engineer Specialist

hace 2 semanas


Santiago, Metropolitana, Chile Thoughtworks Inc. A tiempo completo
Required Skills and Qualifications

Data scientists at Thoughtworks require expertise in statistics, modeling, and machine learning to drive business value and inform data-driven decision making.

They implement various algorithms and collaborate with cross-functional teams to communicate findings to both technical and non-technical stakeholders.

Data scientists work on a range of projects leveraging deep technical knowledge to solve complex business problems.

Key Responsibilities
  • Craft impactful data science solutions that drive significant customer benefits.
  • Conduct experiments and develop hypotheses to solve business problems using advanced statistical techniques.
  • Develop and implement data science strategies that drive measurable business results.
  • Interact with clients from diverse domains addressing their challenging problems.
  • Contribute to the growth and knowledge sharing within the data science community focusing on the latest tech trends in data science and machine learning.
  • Address ethical concerns in data science including privacy, bias, and fairness while adhering to ethical guidelines.
Technical Requirements
  • Implement statistical modeling, machine learning, deep learning, optimization, and other data science techniques.
  • Have a basic understanding of specialized areas of AI such as NLP, computer vision, or generative AI.
  • Experience with R, Python, or equivalent statistical/data analysis tools and ability to write quality code.
  • Gather and preprocess large volumes of structured and unstructured data ensuring data quality and integrity.
  • Analyze datasets using statistical and visualization techniques to identify patterns, trends, and relationships.
  • Develop machine learning models, algorithms, and predictive analytics to solve specific business problems or improve existing processes.
  • Effectively communicate findings and insights to non-technical stakeholders through reports, presentations, and visualizations.
  • Awareness of data privacy regulations and ethical standards when handling sensitive information.


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