Job description


Description

We are looking for a talent Data Scientist to join our team in Hong Kong. As a key member of our team, you will have opportunity to showcase your expertise in analyzing complex data sets and providing valuable insights. You will contribute in turning (big) data into actionable knowledge, for which combination of scientific, problem solving, analytical, technical and communication skills are essential. Join us in leveraging the power of data to drive informed decision-making and make a meaningful impact.

What You’ll Do

  • Identifying the business problems
  • Finding the right data and methods to address them
  • Building and validating analytical models
  • Presenting the findings in a clear and informative way
  • Convert large volumes of structured and unstructured customer data using advanced analytical solutions
  • Use and fit different mathematical and econometric models, develop descriptive and predictive models that deliver better decisions
  • Turn analyzed data into actionable insights and business value
  • Create high-quality data visualizations
  • Communicate effectively with different departments and roles (product managers, engineers) to discuss complex data-driven findings and technical matters
  • Educate and train others on Data Science related matters
  • Estimate, plan and coordinate the delivery of moderate sized projects
  • Evaluate and select Data Science tools and libraries


What You Have

  • Bachelor’s/Master’s Degree in Computer Science, Math, Applied Statistics or a related field
  • Minimum 3 years of experience in data mining, statistics or machine learning
  • Aptitude for problem solving
  • Data focused applied mathematics (statistical analysis, machine learning)
  • Decent communication / presentation skills (including working English fluency)
  • RDBMS/SQL knowledge
  • Programming experience (Python preferred)
  • Data analysis tools and libraries such as Python (NumPy / SciPy / scikit-learn / pandas / matplotlib), R, SAS, SPSS, MATLAB, etc
  • Big Data stack; Spark / MLlib
  • Proficiency with at least one of the Cloud providers
  • Experience with Data Science solutions productionalization
  • Preferable to have experience in private banking or wealth management


Why EPAM

  • By choosing EPAM, you're getting a job at one of the most loved workplaces according to Newsweek 2021, 2022 & 2023. 
  • Employee ideas are the main driver of our business. We have a very supportive environment where your voice matters
  • You will be challenged while working side-by-side with the best talent globally. We work with top-notch technologies, constantly seeking new industry trends and best practices
  • We offer a transparent career path and an individual roadmap to engineer your future & accelerate your journey
  • At EPAM, you can find vast opportunities for self-development: online courses and libraries, mentoring programs, partial grants of certification, and experience exchange with colleagues around the world. You will learn, contribute, and grow with us


Life at EPAM

  • EPAM Systems Inc. (EPAM) is a leading digital transformation services and product engineering compan y
  • As the regional headquarter of EPAM in APAC, EPAM Hong Kong was established in 2013. EPAM Hong Kong has been growing and emerging rapidly as an international IT consulting company that continuously attracts technology and engineering professionals worldwide. The integration of top-notch consulting services and intelligent engineering back-end systems shaped our superior service to the world’s leading clients in different industries: banking, finance, insurance, technology, life sciences, and others. By choosing EPAM Hong Kong, you're getting a job at one of the Caring Companies by the Hong Kong Council of Social Service in 2022 and one of the Best Companies to Work for in Asia by HR Asia in 2022


How We Hire

  • Here, we summarize the typical journey to finding a job within EPAM
  • Apply and tell us about yourself
  • Go through some standard interviews:
    • General interview with a recruiter
    • Technical interview with our technology experts
    • Manager interview or Offer interview with a hiring manager

  • Get ready to join the team
  • Not sure if you meet all the requirements? No problem. Let’s talk anyway and find out more!
  • It takes 1 min of application to start the journey with us. Apply now!
Apply

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