The Data Scientist II will focus on producing innovative solutions through exploratory data analysis of complex and high-dimensional datasets to drive business insights, prototype development, and product improvement.
Requirements
- Proficiency in programming languages such as Python and/or R, big data tools like Hadoop, and data visualization tools such as Tableau.
- Experience working with large datasets.
Responsibilities
- Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to identify patterns, opportunities, and business questions.
- Design, develop, and evaluate predictive models and advanced algorithms for optimal data value extraction.
- Generate and test hypotheses, analyze, and interpret results from product experiments.
- Collaborate with product engineers to translate prototypes into new products, services, and features, ensuring scalability.
- Provide Business Intelligence (BI) and data visualization support, including dashboards and ad-hoc data analysis requests.
Other
- Master of Science degree in computer science or a relevant field.
- Strong written communication skills to convey complex information effectively.