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Global brand, remote role, and a popular data science analyst title increase applicant density.
Data science skills are broadly transferable across industries and business functions.
Explicit 1-2 year requirement but no strict tech or certification mandates indicates moderate filtering.
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Develop and implement data mining models, statistical reports, and analysis methods to identify trends in large datasets across various business areas.
Research and apply existing and emerging data science, machine learning, and AI techniques to solve business problems and generate actionable insights.
Independently execute established data science standards and continuously improve daily activities; may lead junior team members and set operational objectives.
Professional or university degree relevant to data science or related field.
Approximately 1-2 years of practical professional experience in data science or related area.
Proficiency in data mining, statistical reporting, and application of machine learning or AI techniques.
Work Experience Required: Approximately 1-2 years; Notice Period: Not explicitly mentioned in the JD.
Experienced in independently executing data science projects within established frameworks and standards.
Capable of applying diverse data science techniques to a range of business domains such as market economics, supply chain, marketing/advertising, or scientific research.
Able to lead or guide junior team members and take responsibility for operational objectives in a data science environment.