Job description

Essential Duties and Responsibilities
•    Assist in developing, fine-tuning, and deploying machine learning models.
•    Aid in consulting with key internal and external stakeholders to understand and frame model requirements and potential applications.
•    Participate in the development of sound analytic plans based on available data sources, business partner needs, and required timelines.
•    Work with software engineers in integrating trained models into end-user applications.
•    Help manage deliverables across multiple projects in a deadline-driven environment.
•    Present results, insights, and recommendations to both technical and non-technical stakeholders.

Required Qualifications
•    0 -2 years of relevant industry experience or fresh graduates are welcome to apply.
•    Good knowledge of Python and Linux, familiarity with ML frameworks, and a willingness to learn.
•    Demonstrated problem-solving abilities and creative thinking.
•    Basic experience or understanding in applying Data Science methodologies to extract, process, and transform data from multiple sources.
•    Excellent communication and interpersonal skills.
•    Must be comfortable working in a team-oriented environment.

Preferred Qualifications
•    Bachelor's degree in Statistics, Computer Science, Economics, or a directly related field.
•    Masters degree or current enrollment in a Master’s program in Statistics, Computer Science, Mathematics, Economics, or directly related fields is a plus.
•    Demonstrated passion for continued learning and innovation.
•    As a Data Science Assistant, we expect not just skills and qualifications, but also an enthusiasm for learning and growing within our team. We value those who are adaptable, innovative, and ready to take on challenges in a fast-paced work environment.