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Software Engineer (Data Science) Chengdu, China

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Software Engineer (Data Science) Description

Job #: 62786
EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

DESCRIPTION


We are looking for an energetic Software Engineer specializing in Data Science in Chengdu to make the team stronger.

We Value


Value the individuals – We encourage and motivate people to grow. We perceive our people as a source of our success;
Strive for excellence – We strive for the highest standards of excellence and continuously learn. We take pride in our engineering and accomplishments;
Act as a team – We treat one another with respect and encourage the best ideas to come from anywhere within the organization. We value our diversity;
Focus on Customers – We build long term customer relationships, as we strive to always understand our customers' business and needs;
Act with integrity – We operate legally, honestly and ethically. We take responsibility for our actions.

Responsibilities

  • Fullfill the role of Data Scientist
  • Write high quality and testable code following clean code principles
  • Implement functionality by following defined software development process without direct supervision
  • Read and understand project and requirement documentation
  • Create documentation to describe your code
  • Participate in Agile Scrum activities: daily standup, planning and retrospective meetings as well as demo sessions, etc

Requirements

  • Bachelor's degree or above in Computer Science, Software Engineering or related majors
  • Minimum 1 year of experience in software engineering and Data Science
  • Good programming skills, such as R/Python/Java
  • Experience of machine learning libraries, such as Scikit-Learn and Deep learning framework, i.e. PyTorch, Keras, etc
  • Familiar with NLP technologies, including topic analysis, sentiment analysis, social network analysis
  • Familiar with NLP processing, such as tokenization, POS tagging, similarity, etc
  • Good skills in machine learning, such as Supervised and Unsupervised, Clustering/Classification/Regression
  • Knowledge of Mathematics and Statistics
  • Knowledge of data structures such as arrays, lists, stacks, queues, trees, etc
  • Knowledge of data algorithms like sorting, searching, dynamic programming
  • Familiar with Linux OS
  • Familiar with Linux shell scripting
  • Well versed in using version control tools (e.g., GIT, SVN)
  • Good understanding of software development lifecycle, experience in Agile Scrum process
  • Solid technical expertise and troubleshooting skills
  • Be self-managing and work without supervision
  • Good interpersonal skills, analytical mind, get things done attitude, and passion for engineering excellence
  • Willingness and ability to adapt to changes in priorities and requirements
  • Active learner who is passionate about technology and keeps up to date with changes in technology
  • Good communication skills
  • Elementary (CEFR A2) or higher level of spoken and written English

Nice to have

  • Data Science and Analytics experience is a plus (Machine Learning, Recommendation Engines, Search Personalization)
  • CET 4 is preferred

We offer

  • Experience exchange with colleagues all around the world
  • International projects
  • Opportunities for self-realization
  • Friendly team and enjoyable working environment
  • Engineering, corporate and social events
  • Professional & soft skills trainings, medical & family care programs, and forums to explore beyond work passion (CSR, photography, painting, sports, etc.)
  • Free English classes
  • Online training course library, mentoring, career development and potential partial grant of certification
  • Flexible working schedule
  • Compensation for sick leave and paid time off
  • Tech talks and hackathons
  • Referral bonuses

在亿磐成长

周剑
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朱晓华
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金秋
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我们在世界其他地方。。。