Basic Qualifications
Want to make an application Make sure your CV is up to date, then read the following job specs carefully before applying.
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.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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