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Data Science Strategist

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Senior Data Science Leader

The Senior Machine Learning Engineer will play a crucial role in developing and implementing machine learning models using Python, SQL, and other relevant tools to drive business outcomes.

  • Develop and implement data-driven solutions to enhance business performance.
  • Collaborate with cross-functional teams to identify opportunities for applying machine learning techniques to solve complex problems.
  • Conduct research and experimentation to explore new approaches and technologies in the field of machine learning.
  • Optimize existing machine learning models for improved performance and efficiency.
  • Provide technical leadership and mentorship to junior members of the team.
Key Requirements

To succeed as a Senior Data Science Leader, you will need:

  • A strong background in machine learning, natural language processing, artificial intelligence, predictive modeling, and statistical modeling.
  • In-depth knowledge of reinforcement learning algorithms (e.g., DQN, PPO, Actor-Critic) with hands-on project experience.
  • Proven expertise in time series forecasting methods (e.g., ARIMA, LSTM, Prophet) and their practical application.
  • Proficiency in Python, SQL, and other relevant programming languages.
  • Familiarity with cloud computing platforms such as AWS or Azure is an advantage.
  • Ability to work collaboratively in a dynamic environment and communicate effectively with stakeholders at all levels of the organization.
  • A bachelor's or master's degree in computer science, mathematics, statistics, or a related field with a minimum of 5 years of experience.
About the Role

This is a unique opportunity to leverage your skills and experience in machine learning to drive business growth and success. If you are passionate about data science and want to make a meaningful impact, this could be the perfect fit for you.