Data ScientistTribehired Company

Responsibilities: 
Act as a Team Lead of our smart and naughty data scientists/ data engineers.
Be an out-of-the-box thinker who is passionate about brainstorming innovative ways to leverage our unique data to predict, prevent, and solve business issues/ topics.
Identify valuable data sources and automate collection processes
Communicate with stakeholders to understand the challenges they face and present clear data to convince them of clear strategies and solutions.
Collaborate with business partners to understand their problems and goals, develop predictive modeling, statistical analysis, data reports and performance metrics, and analyze large amounts of information to discover trends and patterns.
Design and implement data models to explain in solving the specified problems using various techniques such as data mining, statistical modeling, and machine learning.
Apply quantitative analysis, and data mining to extract, capture and understand data to form an opinion on how to best help our clients and derive relevant insights for strategies in customer interaction and FINNOMENA product or business growth.
Lead and participate in the development, validation and delivery of algorithms, statistical models and reporting tools, and solve complex analytical problems
Develop or use algorithms and statistical predictive models and determine analytical approaches and modeling techniques to evaluate scenarios and potential future outcomes.
Develop/ Provide insightful visualizations to make your complex analyses accessible to a broad audience, or present information using data visualization techniques as well as recommend the next course of actions to decision makers and other functional groups.
Propose solutions and strategies to business challenges, as well find opportunities to craft FINNOMENA products out of analyses that are suitable for multiple clients.
Develop prototypes and run experimentation for business intelligence tools, solutions, and techniques
Partner with a variety of internal teams and external partners to provide comprehensive solutions.
Perform analyses of structured and unstructured data to solve multiple and/or complex business problems utilizing advanced statistical techniques and mathematical analyses and broad knowledge of the organization and/or industry.
Evaluate data management, data quality and data access processes for gaps, inefficiencies and opportunities; provide recommendations for improvement.
Other jobs as assigned
Qualifications
Thai nationality
5+ years of experience in data-based decision-making or quantitative analysis, software or hardware development
Bachelor's degree or Master's degree in analytical field such as Statistics, Mathematics, Computer Science, Economics, Operations Research or related Engineering field.
Experience in ETL & Data related tools e.g. SQL, Google Tag Manager, Spark, and etc.
Experience in understanding and analyzing data using statistical software (e.g. Python, SAS, R, Stata or others)
Competence in Excel, PowerPoint/ G Slides), Tableau
Previous exposure to financial services, FinTech, credit cards or merchant analytics is a plus, but not required
Insight and experience of applying Data Science in one or more of the following areas: Business Engagement, Business Growth, Customer Experience & Interaction, FinCrime, Retail Engagement and Growth
Understanding of modern machine learning techniques and their mathematical underpinning, such as classification, regression, recommendation systems and natural language processing and unsupervised learning approaches.
Strong knowledge of advanced analytics tools and languages to analyze large data sets from multiple data sources.
Experience leading projects to deliver complex data management solutions; working with internal and external partners 
Demonstrates strong ability to communicate technical concepts and implications to business partners.
Anticipates and prevents problems and roadblocks before they occur.
Strong in communication both written and spoken and presentation skills as well fluent English speaking & writing communication