Data Scientist
Role details
Job location
Tech stack
Job description
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Requirements
- Master's degree in Operations Research, Statistics, Optimization, Operations Management, Machine Learning, Applied Mathematics, or other related fields
- Proficiency in at least one modern programming language such as Python, Java, or C++
- Basic proficiency with SQL
- Ability to design and implement solutions using both toolkits and custom-developed code
- Demonstrated ability to present business cases and scientific models with rigorous analyses that support conclusions to influence and drive important decisions
- Strong fundamentals in problem solving, algorithm design and complexity analysis
- Excellent written and verbal communication skills for cross-team coordination
- Proven experience in mentoring and growing teams of scientists
- 4+ years of hands-on experience in the relevant field
Preferred Qualifications:
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PhD degree in Operations Research, Statistics, Optimization, Operations Management, Machine Learning, Applied Mathematics, or other related fields
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Extensive experience with Cloud Platforms such as Azure, AWS, or Google Cloud Platform, including their data processing and machine learning toolkits.
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Proficiency with Optimization Solvers such as Gurobi and Xpress, or experience integrating optimization algorithms into large-scale systems.
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Hands-on expertise with Big Data Analytics tools, including Scikit-learn, Keras, TensorFlow, Pandas, NumPy, and PySpark.
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Demonstrated ability to work within interdisciplinary teams, leveraging cutting-edge machine learning and data science methodologies.
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Experience in designing and deploying scalable and production-grade predictive and prescriptive models.
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Strong knowledge of data visualization techniques and tools to effectively communicate insights.