Develop customer and business insights to identify business opportunities or resolve business challenges, and provide actionable recommendations to guide business decisions
Prepare data from different data sets for building analytical models and delivering customer insights and recommendations to guide business decisions.
Communicate findings and build buy-in with key stakeholders through data visualizations
Deliver pre and post campaign analysis to guide the design and optimization of analytical models and personalized marketing campaigns
Design, develop, and deploy analytical models and advanced analytic solutions using statistical techniques and machine learning technologies.
Work with engineers to implement end-to-end process from model development to testing, validation, deployment, and lifecycle support.
Research and Development on novel data science and analytics tools and ML/AI technology
Background/ Experiences
3+ years of Experience working with customer-centric data at big data-scale and applying machine learning, optimization and statistical methods to large datasets in various industries: financial services, telecom, retails, insurance, e-commerce, or related industries.
Strong statistical knowledge, superior analytical abilities, and good knowledge of business intelligence solutions
Full stack experience in data collection, aggregation, analysis, visualization, productionisation, and monitoring of ML products - MLOps
Experience in being able to translate business needs into executable data science and analytics solutions
Proven track record in client engagement, relationship building, and project management is PLUS
Knowledge & Skills
Bachelor&aposs degree or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering)
Deep understanding of mathematics and statistical modeling, predictive modeling, and machine-learning algorithms with hands-on experience with Machine Learning frameworks.
Excellent Proficiency in programing languages (SQL, R, Python) and Experience with business intelligence solutions (Tableau, PowerBI or Advanced Excel)
Hand-on experience in data engineering, working with big data technology (Spark/Hadoop) and cloud platforms such as Azure, AWS, or GCP
Excellent verbal, written, and interpersonal communication skills (both Thai and English)
