Data Scientist

Key Responsibilities

• Algorithm Design & Development: Directly contribute to the design and development of scalable Data Science algorithms.
• Collaboration: Work closely with Data and Software Engineering teams to effectively productionize algorithms.
• Data Analysis: Apply thorough technical knowledge to large datasets, conducting exploratory data analysis, feature engineering, and model building.
• Coaching & Mentorship: Develop others as a technical coach, sharing your expertise and insights.
• Expertise Development: Become a known expert in one or multiple Data Science techniques and methodologies.

Job Qualifications

• Education: Pursuing or has graduated with a Master’s degree in a quantitative field (Operations Research, Computer Science, Engineering, Applied Mathematics, Statistics, Physics, Analytics, etc.) or possess equivalent work experience.
• Technical Skills: Proficient in programming languages such as Python and familiar with data science/machine learning libraries like OpenCV, scikit-learn, PyTorch, TensorFlow/Keras, and Pandas. Demonstrated ability to develop and test code within cloud environments.
• Communication: Strong written and verbal communication skills, with the ability to influence others to take action.

Preferred Qualifications

• Analytic Methodologies: Experience applying analytic methodologies such as Machine Learning, Optimization, Simulation, and Generative and Agentic AI to real-world problems.
• Continuous Learning: A commitment to lifelong learning, keeping up to date with the latest technology trends, and a willingness to teach others while learning new techniques.
• Data Handling & Cloud: Experience with large datasets and developing in cloud computing platforms such as GCP or Azure.
• DevOps Familiarity: Familiarity with DevOps environments, including tools like Git and CI/CD practices.

Compensation and Benefits

Your recruiter may be able to share more about our total rewards offerings and the specific salary range for the relevant location(s) during the hiring process.