Senior Data Scientist

Job description

**Senior Data Scientist - Job Description** ### **Who we are** Mico is a company with a clear mission: **to Empower every brand by building lifetime trust through humanlike technology.** This ambitious goal sets the stage for our vision and core values. 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: - **WOW THE CUSTOMER** - **SMART SPEED** - **OPEN MIND** - **ALL FOR ONE** ### **Job Summary** 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. ### **Key Responsibilities** - **KPI Design & Stakeholder Strategy:** 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. - **Data Engineering & EDA:** 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. - **Personalization & Recommendation:** Design and implement recommendation engines to enhance user engagement and brand trust, leveraging both classical and deep learning-based approaches. - **Iterative Model Development:** Develop and deploy predictive models—including customer behavior prediction, customer lifetime value (CLV), media mix modeling, and time-series forecasting—using Python and PyTorch. - **Advanced Segmentation:** Lead customer behavioral analysis projects using unsupervised clustering techniques to drive personalized brand empowerment strategies. - **Continuous Improvement Loops:** Systematically identify bottlenecks in model accuracy through rigorous evaluation and error analysis; iterate on model architectures and data features to consistently hit and exceed target KPIs. - **Collaborative Engineering & Privacy:** Maintain production-grade code repositories using GitHub, ensuring version control and documentation are integrated into the R&D process while adhering to data privacy and ethical AI practices. - **Cutting-Edge Research:** Research and implement state-of-the-art techniques, including LLMs/Generative AI, NLP, and Deep Learning, to enhance business strategies and solve brand empowerment challenges. ### **Required Qualifications** - **Education:** Master’s/PhD in Statistics, Computer Science, Econometrics, or related quantitative fields. - **Experience:** 5+ years in data science, with proven expertise in: - **End-to-End Ownership:** Proven experience leading projects from initial data preparation and KPI definition through to delivery of final business impact. - **Programming:** Expert-level proficiency in Python, SQL, and Spark, along with deep practical knowledge of libraries such as Pandas, Scikit-learn, PyTorch, and PySpark. - **Modeling & Mathematical Expertise:** Extensive experience in the architecture and implementation of Decision Trees, Regression models, and Deep Learning (including LLMs/NLP). - **Recommendation Systems:** Deep expertise in building recommendation models, including Collaborative Filtering, Content-Based Filtering, Matrix Factorization, and Neural Collaborative Filtering (NCF). - **Analytical Methods:** Strong command of Unsupervised Clustering/Segmentation techniques and modern Time-Series Forecasting methodologies. - **Experimental Methodology:** Rigorous skills in offline evaluation, cross-validation techniques, and iterative hypothesis testing to improve model performance. - **Cloud Platforms:** Hands-on experience architecting and deploying solutions in Azure, Databricks, Snowflake, or AWS. - **Development Environment & Version Control:** Advanced proficiency with Linux/Unix environments and VS Code, alongside GitHub/Git for collaborative development, branching strategies, and CI/CD workflows. **Soft Skills:** Exceptional stakeholder management (translating complex data into simple stories), professional time management, and a relentless problem-solving mindset.