As a Senior Data Scientist, you will leverage advanced analytics, machine learning, and statistical modeling to solve complex business challenges through data-driven approaches. This role requires deep technical expertise to transform data insights into actionable business strategies, as well as strong communication skills to collaborate effectively with cross-functional teams. We welcome candidates with extensive experience in analytics, the IT/technology industry, and cutting-edge AI technologies.
Design, develop, and maintain machine learning models that optimize personalized advertising delivery to maximize business outcomes. This includes customer lifetime value (CLV) prediction, multi-channel customer modeling, customer segmentation, and extracting actionable insights from campaign performance.
Design and implement recommendation engines using rule-based methods, machine learning, and deep learning techniques to improve user engagement and strengthen brand trust.
Lead customer behavior analysis using clustering and other advanced segmentation techniques to develop highly personalized strategies that enhance customer engagement and brand value.
Clean, preprocess, and validate large-scale structured and unstructured datasets. Perform exploratory data analysis (EDA) to identify meaningful patterns, ensure data quality, and establish analytical strategies for solving business problems.
Partner with internal teams—including Sales and Customer Success—as well as client marketing teams to define, propose, and communicate business KPIs that are both ambitious and easily understood by non-technical stakeholders.
Continuously improve model performance by conducting systematic validation, error analysis, and iterative enhancements to model architectures and feature engineering in order to achieve business KPIs.
Manage production-grade code repositories using GitHub while maintaining best practices in version control and documentation throughout the research and development lifecycle. Ensure compliance with data privacy requirements and responsible AI principles.
Research and implement state-of-the-art AI technologies, including deep learning, natural language processing (NLP), large language models (LLMs), and Generative AI, to solve business challenges and enhance product and brand value.
You will join Mico's Data & AI Team.
As a Senior Data Scientist, you will be expected to:
- Lead the entire machine learning lifecycle for core algorithms such as recommendation engines and advertising optimization—from data exploration and feature engineering to model implementation, deployment, and production maintenance.
- Continuously improve model accuracy and business value, driving measurable revenue growth and business impact through data-driven decision making.
- Partner with business and executive stakeholders to translate business challenges into data-driven solutions, leading KPI definition and strategic initiatives.
- Mentor junior team members in both technical and non-technical areas while establishing engineering best practices, documentation standards, and a strong development culture that maximizes overall team performance.
Work with a unique combination of Mico's first-party data and customers' zero-party data to build highly accurate machine learning models. You'll develop AI solutions that directly solve business challenges and create measurable revenue impact.
Gain hands-on experience building and operating production-grade machine learning systems, including feature pipelines, model retraining, monitoring, and MLOps infrastructure for recommendation engines and advertising optimization.
Go beyond model development by partnering with business leaders to define KPIs and shape data-driven business strategies that directly influence company growth.
Take technical ownership within an English-speaking global engineering team while mentoring junior engineers, establishing development standards, and building a strong track record as a globally recognized technical leader.
Advance into a leadership role as a Tech Lead or Engineering Manager for Data Science or Machine Learning teams, leveraging your technical expertise and mentoring experience.
Deepen your expertise in large-scale data processing, advanced MLOps, and cutting-edge AI technologies while shaping company-wide data platforms and machine learning architecture.
Expand into product strategy or AI consulting by leveraging your experience in defining business challenges, designing KPIs, and driving data-driven initiatives that accelerate business growth.
Lead large-scale, cross-border AI initiatives by combining strong English communication skills with extensive machine learning expertise, building a career as a global AI leader.
