【Responsibilities】
1. Plan actionable research and discover useful insights based on business needs and data implementation.
2. Lead the team to drive full life-cycle data science projects.
3. Work closely with machine learning engineers to build up machine learning / data science services.
4. Design and build up automated data pipelines with data engineers.
5. Confirm and structure the demands & problems from other departments.
【Requirements】
1. Degree in business, economics, computer science, statistics etc.
2. Fluency in Python programming language.
3. Fluency in SQL language.
4. Advanced statistical knowledge background.
5. Experience in ML product development, including ETL design and ML model performance monitoring.
6. Common knowledge of NLP machine learning algorithms such as Transformer, and Prompt Learning.
7. Great communication and data storytelling skills to internal stakeholders.
8. Project management experience in the fast-pace industry (e.g. e-commerce, startups).
【Pluses】
1. Familiar with business intelligence tools (Tableau, Data Studio, etc.).
2. Familiar with cosmetics, e-commerce, and the retail industry is a plus.
3. Familiar with marketing analytics tools (Google Analytics, etc.).
4. Familiar with linguistic knowledge is a plus.
5. Experience with cloud technology is a plus.
More Info>>>https://www.ikala.tv
【獎金】
■ 勞、健保及退休金提撥
■ 三節禮金
■ 生日禮金
■ 內部同仁推薦獎金
■ 人才推薦獎金
■ 專案獎金
■ 年終獎金
【正職員工福利】
■ 可彈性申請在家工作
■ 咖啡無限暢飲
■ 釀酒機 (偶爾可以小酌一杯)
■ 餅乾零食吃到飽
■ 下午茶聚會
■ 部門聚餐
■ 慶生會
■ 紓壓按摩
■ 電影欣賞
■ 員工旅遊
■ 健康檢查
■ 團體保險
■ 教育訓練補助
【休假】
■ 休假給予最大彈性
■ 女性同仁生理假 (每月一天不扣薪)
■ 全薪病假 (一年五天不扣薪)
■ 優於勞基法之陪產檢假
■ 優於勞基法之彈性休假
■ 志工服務假
【工作環境/文化】
■ 開放式的辦公環境，辦公室可穿著室內拖鞋，營造家庭式的舒適環境
■ 衛生的環境設施，專人全天候維護茶水間及洗手間的清潔衛生
■ 舒服安靜的休憩空間
■ 安全的門禁管理，保障同仁安全
■ 年輕熱血的新創團隊
■ 活潑歡樂的工作氣氛
■ 扁平的組織，彼此可以輕鬆談話
■ 我們互相尊重、講求效率與信任
■ 意見不用怕被忽視
■ 我們不只是同事，是一起努力的夥伴朋友
■ 我們一起努力工作，一起快樂玩耍
