Data Scientist [Thailand]


 

Job Summary

Data Scientist will be responsible for leading the development of advanced analytics solutions and delivering customer and business insights to identify business opportunities or resolve business challenges. You will work closely with business, data engineer, analytics engineer and developer to shape data science products and solutions.

You will be implementing wide variety of analytical models and algorithms that drive cloud-based digital platforms offering best customer experience. You will work with engineers to deploy and maintain machine learning models in production reliably and efficiently. To succeed in this role, you will need to be comfortable with ambiguity, capable of working in a fast-paced environment, continuously improving technical skills to meet business needs, possess strong attention to detail and be able to collaborate with clients to understand and transform business challenges into requirements and deliverables.

Job Responsibilities

  • Work closely with business to develop data analytics solutions to resolve business challenges. Translate business problem statements into analysis requirements and work with internal/external clients to define best business outcomes.
  • Develop customer and business insights to identify business opportunities or resolve business challenges and provide actionable recommendations to guide business decisions. Communicate findings and build buy-in with key stakeholders through data visualizations.
  • Design, develop, and deploy analytical models and advanced analytic solutions using statistical techniques and machine learning technologies. Lead analytic approaches, integrating work into applications and tools with data engineers, business leads, analysts and developers. Work with engineers to implement end-to-end processes from model development to testing, validation, deployment, and lifecycle support.
  • Prepare data from different data sets for building analytical data marts and data science solutions. Design and develop robust, automated data marts and reporting frameworks to increase visibility into data and enable data driven decision making.
  • Work with the team to solve, analyze, and create a plan to tackle client's business challenges. Ensure appropriate strategy/solutions is proposed to customer. Provide demonstrations, presentations, training, and consultation for potential clients.

Knowledge & Skills and Competency

  • 5+ years of experience as a Data Scientist, Data Analyst or Data Analytics Lead managing the development of data analytics solutions and delivering actionable insights via data products.
  • Experience in applying machine learning, optimization and statistical methods to large datasets in financial services, telecom, retails, e-commerce, insurance, or related industries.
  • Masters or Bachelor's degree in Statistics, Mathematics, Computer Science, Engineering, Information Systems or a related field.
  • Deep understanding of statiscial modeling, predictive modeling, propensity models, and machine-learning algorithms with hands-on experience with Machine Learning frameworks (H2O, Keras, TensorFlow, Torch)
  • Excellent Proficiency in programing languages (SQL, R, Python) and Experience with business intelligence solutions (Tableau, PowerBI or Advanced Excel)
  • Full stack experience in data collection, aggregation, analysis, visualization, productionization, and monitoring of ML products.
  • Hand-on experience in data engineering, working with big data technology (Spark) and cloud platforms such as Azure, AWS, or GCP
  • Experience of CI/CD practices and tools such as Jenkins, Git, Gitlab
  • Experience in data science consulting, technical consulting, or in a client facing role providing data analytics solutions
  • Experience in managing Proof of Concepts and creating solution demonstrations
  • Proven track record in client engagement, relationship building, and project management
  • Proven ability to quickly and deeply learn new technologies and clearly communicate their value proposition
  • Self-starter with a growth mindset


 

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