Data Scientist, Strategy Data Solutio
Ztore HK Limited
- Company Industries：Others
Job Information
- Post Date：2022-06-24
- Location：Lai Chi Kok
- Employment Type：Full Time
- Job Function：E-commerce Business Development Information Technology (IT) Data Scientist
- Benefits：Dental insurance, Medical insurance, Work from home, Five-day work week, Flexible working hours
Job Description
Successful candidate will be involved in developing, building, and scaling big data real time solution that empowers the company’s strategy and drives efficiency gain.
This is a rare opportunity for you to join a dynamic and fast-growing data team to make a clear difference to deliver a better living.
Responsibilities
- Manage and develop NLP models to build customer 360 and product relationships.
- Deep experience in data mining and machine learning. Proficient in one or more areas of statistical modeling methods, text mining, graph analysis
- Expertise in graph theory and graph data science concepts/algorithms, e.g. centrality measures, shortest-path, path expansion queries
- Manage and develop graph algorithm, knowledge in Alicoco is a plus
- Promote the data-driven approach to other teams within the organization, and identify data opportunities with business stakeholders
- Mathematics, Statistics, Computer Science, Engineering, or related degree (M.S. or Ph.D. is preferred)
- Having working experience:
- 1.5+ years as a data scientist or analyst in the e-commerce, FMCG, retail, or finance industry; or
- 2+ years in handling big data in academic field
- Knowledge of advanced statistical techniques and concepts
- Good at manipulating big data with Python and SQL
- Knowledge in NLP is plus
- Experience with NLP libraries (e.g. SpaCy, Gensim, NLTK)
- Knowledge of the principles of algorithms and models: BOW, Word2Vec, LSTM, BERT, etc.
- Solid knowledge or experience in NLP algorithms (e.g. Text Classification, Named Entity Recognition, Relation Extraction)
- Basic knowledge of Knowledge Graph
- Knowledge in Graph is plus
- Experience with graph databases (e.g. AWS Neptune, Neo4j, Janusgraph )
- Knowledge of the graph algorithms (e.g. Similarity, Pathfinding, Centrality)
- Solid knowledge or experience in graph ML algorithms (e.g. Link Prediction, Entity Matching, Graph Embeddings)
- Basic knowledge of NLP
- Knowledge in cypher or gremlin is a plus
- Cloud experience is a plus
Ztore HK Limited, we provide a diverse range of career opportunities. Our HR professional might suggest you to other openings for which you are potentially better suited!
Personal data provided by applicants will be treated in strict confidence and used for recruitment-related purposes only. All personal data collected will be used strictly under the Personal Data (Privacy) Ordinance of Hong Kong. If you are unsuccessful in your job application or withdraw, your data will be retained for 12 months.
Together, we deliver a better living with good products sold!
Company Info
自2015年創辦以來，士多（Ztore.com）和鄰住買（Neigbuy.com）不斷創新、優化網上購物體驗，為顧客優選、銷售及送達「好產品」，享受到「好生活」。
此外，作為香港最具影響力的電商業務先行者之一，我們一直致力於開拓「新零售時代」，創造及整合更多線上與實體店的全渠道零售體驗。在2021年，電視廣播有限公司（TVB）收購士多及鄰住買，產生「電商與媒體結合」的巨大協同效應，為客戶、商戶提供嶄新、獨特的購物及銷售體驗，亦成為士多及鄰住買高速增長、拓大業務版圖提供強大基礎，在香港電商市場寫下新一頁。
士多和鄰住買的急速發展全賴一班滿懷創新熱忱及活力的團隊。在士多及鄰住買，我們深信賦能團隊，提供機會、創造空間，才能讓團隊內每一位發光發熱，與公司共同成長。如果你對建構香港電商新版圖、對打造嶄購物體驗有熱情、想法和能力，請立即加入我們！
At Ztore (Ztore.com) and Neigbuy (Neigbuy.com), we are on the mission to deliver a better living with good products sold. Founded in 2015, we pioneered the way products are selected, browsed, sold and delivered. Being one of the influential pioneers in Hong Kong e-Commerce industry, we strive to create unique and brand new omnichannel retail shopping experiences in the "New Retail Era". Following the acquisition by Television Broadcasts Limited (TVB) in 2021, we generate significant positive synergy by delivering the "Media e-Commerce" shopping experience and sales solution to our customers and suppliers.
All of these could not be done without our innovative and energetic people at Ztore and Neigbuy. We care about staff’s growth and development and encourage empowerment and flexibility in the workplace. If you have the passion and ideas to work and grow with our like-minded and highly dynamic team, join us now and let’s drive more innovative shopping experiences and open up new horizons for the Hong Kong e-Commerce industry!
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