Data Scientist

Basic Qualifications

• Educational Background: Possess a graduate degree in Data Science, Computer Science, Business Analytics, Statistics, Economics, Applied Mathematics, or a related quantitative field from a prestigious institution.
• Professional Experience: Minimum of six months of industry or internship experience in a data science or machine learning engineering role, demonstrating strong proficiency in Python, SQL, and version control using Git.
• Technical Skills: Tried ability to independently fit, evaluate, and interpret statistical and machine learning models within a business context.
• Communication Skills: Excellent verbal and written communication skills, crucial for documenting findings and fostering effective daily collaborations.
• Project Management: Ability to prioritize and meet deadlines in a dynamic environment.
• Attention to Detail: Prodigious attention to detail, ensuring precision in data analysis, model development, and reporting.
  

Additional Qualifications

• Data orchestration tools such as Airflow.
• Data warehousing solutions like Snowflake.
• Cloud services, including Amazon Web Services (AWS) and Google Cloud Platform (Google Cloud Platform).
• Development environments like Visual Studio Code.
• Programming skills in HTML, C, or Java.
• Web application development.
• Data pipeline ingestion processes.
• A high degree of curiosity and motivation to learn new technologies and methodologies.
• Stellar problem-solving skills and logical thinking.
• A strong interest in AI and enthusiasm for AI product development.
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