Hop - Data Scientist
Requirements
• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or related field. • Proven experience in Python programming for data analysis and modeling. • Proficiency in SQL for data manipulation and querying is a must. • Strong understanding of exploratory data analysis techniques. • Experience in connecting to APIs and working with external data sources. • Familiarity with traditional statistical methods and their application in data analysis. • Excellent communication and collaboration skills. • Ability to work effectively in a fast-paced, dynamic environment with evolving priorities. • Strong problem-solving skills and attention to detail. • Additional Information: • This role is open to any candidate in Latin America.
Responsibilities
• Develop predictive models and algorithms using Python, utilizing machine learning and statistical techniques. • Conduct exploratory data analysis to uncover patterns, trends, and relationships in the data. • Connect to various APIs to collect relevant data and integrate external data sources into our analytics pipeline. • Utilize SQL for data extraction, manipulation, and querying from relational databases. • Collaborate with stakeholders to understand business requirements and translate them into analytical solutions. • Communicate findings and insights effectively to both technical and non-technical audiences through visualizations, reports, and presentations. • Stay updated with the latest advancements in data science, machine learning, and related fields, and apply them to improve our analytical capabilities. • Paid time off (PTO) is provided. • You will receive a competitive salary in USD. • $4,000 - $4,500 a month • We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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