Lead Data Scientist

5 days ago


Amman, Amman, Jordan Braintrust Full time
Job Overview

We are seeking a highly skilled Lead Data Scientist to join our team at Braintrust. As a key member of our data science team, you will be responsible for leading a team of data scientists, machine learning engineers, and big data specialists to drive business growth through data-driven insights.

The ideal candidate will have a strong background in data science, machine learning, and statistical analysis, with a proven track record of delivering high-impact projects. You will be responsible for managing the data science team, planning projects, and building analytics models to drive business decisions.

Key Responsibilities
  • Team Leadership: Manage a team of data scientists, machine learning engineers, and big data specialists to achieve business objectives.
  • Data Mining and Collection: Lead data mining and collection procedures to identify key trends and insights.
  • Data Quality and Integrity: Ensure data quality and integrity through rigorous testing and validation.
  • Data Analysis and Interpretation: Interpret and analyze complex data problems to drive business decisions.
  • Project Planning and Prioritization: Conceive, plan, and prioritize data projects to drive business growth.
  • Analytics and Modeling: Build analytic systems and predictive models to drive business decisions.
  • Performance Testing: Test the performance of data-driven products to ensure optimal results.
  • Reporting and Visualization: Visualize data and create reports to communicate insights to stakeholders.
  • Experimentation and Innovation: Experiment with new models and techniques to drive business growth.
  • Business Alignment: Align data projects with organizational goals to drive business success.
Requirements and Skills
  • Proven Experience: Proven experience as a Data Scientist or similar role.
  • Machine Learning: Solid understanding of machine learning concepts and techniques.
  • Data Management and Visualization: Knowledge of data management and visualization techniques.
  • Statistical Analysis and Predictive Modeling: A knack for statistical analysis and predictive modeling.
  • Technical Skills: Good knowledge of R, Python, and MATLAB programming languages, as well as experience with SQL and NoSQL databases.
  • Leadership and Communication: Strong organizational and leadership skills, with excellent communication skills to effectively communicate with stakeholders.
  • Business Acumen: A business mindset with a strong understanding of business operations and goals.
  • Education: Degree in Computer Science, Data Science, Mathematics, or a related field.

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