Senior Data Scientist

<p style="text-align: center;"><strong>Senior Data Scientist - Job Description</strong></p> <h3><strong>Who we are</strong></h3> <p>Mico is a company with a clear mission: <strong>to Empower every brand by building lifetime trust through humanlike technology.</strong> This ambitious goal sets the stage for our vision and core values.</p> <p>By 2030, Mico aims to be the Asia No.1 Brand Empowerment Company. This mid-term goal outlines our dedication to becoming the leading force in empowering brands across Asia. To achieve our mission, we identify four key values:</p> <ul> <li><strong>WOW THE CUSTOMER</strong></li> <li><strong>SMART SPEED</strong></li> <li><strong>OPEN MIND</strong></li> <li><strong>ALL FOR ONE</strong></li> </ul> <h3><strong>Job Summary</strong></h3> <p>The Senior Data Scientist will work on data-driven initiatives to solve complex business challenges, leveraging advanced analytics, machine learning, and statistical modeling. This role requires expertise in translating data insights into actionable strategies and collaborating with cross-functional teams. Ideal candidates will have a strong background in analytics or tech-driven industries.</p> <h3><strong>Key Responsibilities</strong></h3> <ul> <li><strong>KPI Design & Stakeholder Strategy:</strong> Partner with cross-functional stakeholders (e.g., Marketing, Finance) to define and propose business KPIs that are logically sound, reasonably challenging, and easily communicable to non-technical teams.</li> <li><strong>Data Engineering & EDA:</strong> Clean, preprocess, and validate large, complex datasets (structured/unstructured). Perform deep-dive Exploratory Data Analysis (EDA) to identify patterns, ensure data integrity, and set the initial strategic direction for analysis.</li> <li><strong>Personalization & Recommendation:</strong> Design and implement recommendation engines to enhance user engagement and brand trust, leveraging both classical and deep learning-based approaches.</li> <li><strong>Iterative Model Development:</strong> Develop and deploy predictive models—including customer behavior prediction, customer lifetime value (CLV), media mix modeling, and time-series forecasting—using Python and PyTorch.</li> <li><strong>Advanced Segmentation:</strong> Lead customer behavioral analysis projects using unsupervised clustering techniques to drive personalized brand empowerment strategies.</li> <li><strong>Continuous Improvement Loops:</strong> Systematically identify bottlenecks in model accuracy through rigorous evaluation and error analysis; iterate