[DS] Data Scientist / Data Product Planner ｜資料科學家/ 資料產品規劃師
Posted Updated 3
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Description
■ 團隊介紹
- 在 Net Protections (TW)，我們經營 BNPL (後支付) 金融服務，打造資料洞察驅動的產品與營運體系 。
- 我們重視扁平且彈性的文化，團隊精實，並與需求方及工程緊密協作 。
- 在 Data Science Team 資料技術上以 AWS 生態系為核心，並導入 Claude Code 等 AI 工具，讓規劃者也能快速產出 Prototype，加速你的影響力。
- 我們尋找能將資料洞察轉化為商業策略、並驅動跨部門決策的夥伴。若你期待從「分析師」進化為「策略型產品規劃師」，這是你的舞台。
■ 職位描述
- 主動提案、驅動產品策略:深入理解 fintech 商業模式與使用者行為,透過資料分析主動發現問題與機會,提出有商業效益的產品優化或新功能提案,並 facilitate 行銷、工程團隊一起釐清優先順序與方向。你不是單獨決策者,但你是讓提案發生、讓決策落地的人,因此本身需要具備清晰的判斷力。
- 驅動產品迭代：主動設計並執行 A/B Test，從假設、驗證到落地，讓資料洞察直接影響產品開發與成效追蹤。
- 與工程團隊共創產品：將資料洞察轉化為清晰的產品規格，我們將一起學習運用 Claude Code 等 AI 工具開發符合工程標準要求的 Prototype，加速與工程團隊的對齊與交付。
- 跨部門商業夥伴：成為跨部門的策略級資料夥伴，將發散的商業問題轉化為可執行的分析架構。
■ 應徵條件
- 經驗要求：1 年以上資料分析或產品規劃經驗，有完整參與端到端 (End-to-End) 專案上線實績 。
- 獨立判斷力：能將模糊商業問題轉化為邏輯清晰的分析架構；面對不確定性能形成獨立觀點。對 Fintech、電商或 B2C 服務有熱忱。
- 資料處理能力：熟練 SQL 與基礎 Python，能獨立完成資料分析；熟悉 BI 工具。
- A/B Test 設計與執行：具備從假說設計(Hypothesis Design)、實驗執行到結果詮釋的完整經驗。
- 溝通協調能力：能引導不同立場的夥伴對齊方向。具備中英文工作溝通能力 。
■ 加分項目
- 具備 AI 開發工具 (Claude Code/Cursor) 製作 Prototype 經驗，或抱有高度學習熱忱 (我們會手把手帶你上手)。
- 熟悉 GA4 等前端資料追蹤工具與使用者行為分析。
- 具備 Fintech / 電商產業經驗，或曾參與推薦系統、實驗分析平台、使用者標籤系統的規劃設計 。
- 具備 B2C 跨部門專案管理經驗。
- (建議提供) 展現商業問題定義、分析架構規劃及商業影響力的作品集 。
■ About the Team
- At Net Protections (TW), we operate BNPL financial services and build a data-driven product engine.
- We value a flat, lean culture and collaborate directly with stakeholders and engineering.
- In Data Science Team, powered by the AWS ecosystem (Athena/Sagemaker) and AI tools like Claude Code, even planners can rapidly build prototypes and amplify their impact.
- We're looking for someone to translate data insights into business strategy and drive cross-functional decisions. If you want to evolve from "analyst" to "strategic product planner," this is your stage.
■ Job Description
- Proactive Proposals & Product Strategy: Deeply understand fintech business models and user behavior. Use data to proactively surface problems and opportunities, propose business-impactful product optimizations or new features, and facilitate marketing and engineering teams to align on priorities. You’re not the sole decision-maker, but you’re the one who makes proposals happen and decisions land — which requires sharp independent judgment.
- Drive Product Iteration: Proactively design and run A/B tests — from hypothesis to launch — letting insights directly shape product outcomes.
- Co-create with Engineering: Translate insights into clear specs and use AI tools like Claude Code to build prototypes yourself, accelerating alignment and delivery.
- Cross-Functional Partner: Be a strategic data advisor, translating fuzzy business problems into executable analytical frameworks.
■ Requirements
- Experience: 1+ years of data analysis or product planning experience with an end-to-end project.
- Independent Judgment: Ability to translate abstract problems into clear frameworks and form independent views under uncertainty. Passion for Fintech, e-commerce, or B2C services.
- Solid Data Skills: Proficient in SQL and basic Python; familiar with BI tools (QuickSight, Tableau, etc.).
- A/B Testing Experience: Hands-on experience across hypothesis design, execution, and interpretation.
- Communication: Able to align partners with different perspectives. Professional Chinese and English proficiency.
■ Nice-to-Haves
- Prototyping experience with AI tools (Claude Code/Cursor) or a strong willingness to learn.
- Experience with tracking tools (GA4) and user behavior analysis.
- Background in Fintech/e-commerce, or experience designing recommendation systems, A/B testing platforms, or user segmentation.
- B2C cross-functional project management experience.
- (Highly Recommended) Portfolio showcasing problem definition, analytical frameworks, and business impact.