Total Rewards Data Scientist Intern

We are looking for an enthusiastic and self-driven HR Data Scientist Intern to assist in developing, managing and providing support to Rewards data reporting and processes. The successful candidate will be assigned to the People & Culture team to assist with automation centered projects, turning data into actionable insights and data engineering related projects. The role will be based in Malaysia.

Objectives

• To automate manual processes.
• To ensure uptime of critical total rewards tools such as the Cost Management Tool, GFG Headcount updates, and Attrition Projections.
• To provide the team with the capabilities of handling data engineering tasks such as data cleaning, pre-processing, and transformation.
• To allow for potentially new data-oriented projects in Total Rewards such as dashboards, interactive reports, and data checks.

Critical Needs

• The scripts for automating the Cost Management tool require someone with technical expertise (programming knowledge) to troubleshoot and maintain.
• The data integrity dashboard requires someone with technical expertise (mainly Python ‘pandas’ library, ‘streamlit’, and data engineering background) to illustrate the needed changes and set and explain the changes needed.

Responsibilities

• Design and implement data projects.
• Design and implement a data integrity dashboard.
• Build HR dashboards to measure the performance of key HR areas.
• Maintain the people cost management tool by fixing bugs, troubleshooting, and
  improving it.
• Support the Center of Expertise team in Talent Acquisition, Rewards, Performance
  Management, and Learning and Development areas by identifying areas of data
  process improvement and efficiency
• Assist in data mining, data interpretation, and report generation
• Assist in data completion and clean-up efforts on the HR systems.
• Enhance data dictionary and documentation of existing data for better understanding and self-service of internal users.

Candidate Requirements

• Studying for a university degree with a specialization in Data Science.
• Proficient in MS Office and Google Suite including Google Sheets.
• Good understanding of data manipulation and transformation.
• Good Python programming skills.
• Good understanding or prior experience in the Python ‘pandas’ library.
• Good understanding of database joins and merges.
• A good team player and motivated to learn and grow in a fast-paced e-commerce environment.
• Knowledge of Excel macros / VBA / Google Apps Scripts/ Google Query Language would be a plus to have.
• Knowledge of Python’s ‘streamlit’  library will be an added advantage.
• Knowledge working with Python graph libraries such as matplotlib/seaborn would be a plus to have.
• Able to commit full-time for 6 months.

Wonder how it's like to build your career with ZALORA? Inspired by employees, we believe you'll be in for:

• An exciting platform to make your success story
• Have the utmost care for your mental and physical wellbeing
• Flexibility weaved into your lifestyle
• A seamless work environment with a friendly & team-fueled culture
• Career growth aligned to your professional and personal needs and goals

Want to stay ahead with our developments? Follow us at our LinkedIn page and know more about us from our career website.

The ZALORA Story
ZALORA exists for the millions of fashion consumers in Asia seeking a shopping experience focused on their unique styles, trends and fit. As Asia’s leading online fashion destination, ZALORA was founded in 2012 and has a presence in Singapore, Indonesia, Malaysia & Brunei, the Philippines, Hong Kong and Taiwan. ZALORA’s localised sites offer an extensive collection of top international and local brands as well as our own in-house labels across apparel, shoes and accessories for men and women. ZALORA is part of Global Fashion Group, the world’s leader in online fashion for emerging markets.

Consent Disclaimer
By submitting your application for this role, you consent to ZALORA collecting, using and processing through and in ZALORA’s systems all personal data included in or provided in relation to your application. The purposes for such collection, use and/or processing shall be for conducting of ZALORA’s recruitment requirements for the present role, and identifying and evaluating other roles and career opportunities within ZALORA which you might be a good fit for. 
ZALORA is not obligated to accept resumes from any third parties on behalf of potential candidates for any position (advertised or otherwise) by any means, unless ZALORA has executed a written agreement with such third party and has expressly requested such third party for candidate referrals. Third parties who provide unsolicited resumes of candidate(s) shall waive and forfeit all rights to claim for any placement fees or referral fees in the event that such candidate is eventually engaged or employed by ZALORA or Global Fashion Group.