We love DATA, we believe DATA can make our life more beautiful! Radica is a Big Data Solution Provider that offers secured, easy-to-use and quality data-driven solutions to the enterprises who are early technology adopters in the new era of marketing, helping them fully leverage the power of data for...

We love DATA, we believe DATA can make our life more beautiful!

Radica is a Big Data Solution Provider that offers secured, easy-to-use and quality data-driven solutions to the enterprises who are early technology adopters in the new era of marketing, helping them fully leverage the power of data for business growth.

In the past 17 years. Radica has been evolving from an award-winning email marketing solution provider to a big data solution provider, and offers a series of data collaboration and e-communication platforms as well as strategic consulting services. Our clients include Fortune 500 companies, publicly listed companies and international luxury brands worldwide.

In cope with our fast business expansion in Hong Kong and the Southern China, we are aggressively hiring technical and business talents to join us! If you love to work with a team of creative, passionate and energetic professionals, please send us your CV now!

www.radicasys.com Wanna learn more about What We Do? Check out here: Video

Data Scientist

Job level Middle
Work exp 3 Years To 5 Years
Education Bachelor Degree
Location
Within Hong Kong
Employment type Full Time
Benefits Dental plan, Education subsidies, 5-day week, Flexible working hours, Shuttle bus, Medical plan, Performance bonus
Industry Information Technology
Job function Information Technology > System / Business Analyst
Information Technology > Technical Writing / Consulting
Information Technology > Others
Published On 24/03/2020

WHAT YOU'LL DO: 

  • Construct data science workflow and modeling on top of huge historical campaign/response data
  • Devise technical data analytic or data science solutions to open business problem
  • Cleanse, process, verify and transform clients’ data into analytics-friendly format
  • Select, build and optimize different data prediction models according to the clients’ business objectives
  • Implement data science and data analytic models in common languages
  • Communicate analytics results in a clear and easy-to-understand manner yet with technical details
  • Construct, manage and monitor the healthiness of clients’ database
  • Prepare data visualization reports and analytical dashboards to draw out insights for the clients
  • Standardize analytics methodology and architect to improve working efficiency
  • Do ad-hoc analysis when necessary
  • Work with peer data scientists and other data analysts in the team
  • Maintain data privacy and governance in strict confidence for the company and for the customer

WHAT BASIC QUALIFICATIONS YOU NEED TO GET:    

  • University graduate with Computer Science or Engineering is preferred but not a must, with 3-5 years of relevant experience.
  • Excellent understanding of machine learning techniques and algorithms, such as k-NN, SVM, Decision Forests, etc.
  • Experience in common data science toolkits, such as R, Python, Hadoop, etc.
  • Excellence in at least one of these is highly desirable Strong oral, written, and interpersonal communication skills
  • Experience in data visualization tools such as Tableau
  • Proficiency in using query languages such as SQL, Hive, Pig
  • Good applied statistics skills, such as distributions, statistical testing, regression, etc.
  • Experience in Computer/ Data Graph Analysis is preferable
  • Experience in  deep learning on unstructured data will be a bonus
  • Candidates with less experience will be considered as Data Analyst

~~~~   We love DATA, we believe DATA can make our life more beautiful! ~~~~~~~~~

Interested parties please send your resume with current and expected salary by clicking  .

Data held by the company relating to employment applications will be kept confidential and used only for processing applications. Applications who are not contacted within 1 month may consider their applications unsuccessful.

All personal data of unsuccessful applicants will be retained for a maximum period of two years and may refer suitable applicants to other vacancies within the company.