About this opportunity
與我們攜手施展你的超能力！
準備好接受挑戰，探索更多可能性嗎? 我們跟你一樣希望精益求精，持續突破! 我們全球的夥伴熱衷於科技創新，透過我們醫藥保健、生命科學和電子科技業務的解決方案豐富人們的生活。讓我們一起環抱著熱情和夢想關懷我們的員工、客戶、病患和這個世界。這就是我們不斷尋找具備好奇心的新血加入的原因，與我們一起大膽想像各種可能。
我們在電子科技領域裡所做的一切，都是為了能成為眾多企業身後推動數位化生活的推手。我們致力於成為值得信賴的供應商，為電子、汽車和化妝品行業提供高科技材料、服務和特種化學品。我們培養了一個全球協作的組織，每位員工都擁有取勝的熱情、秉持客戶至上的態度、充滿好奇心且行事果決。我們齊心努力突破科學的極限，為客戶創造更多的可能性。
Your role:
You want to develop AI solutions that have a tangible impact on our Electronics business?
Join our international team of digital experts as a Data Scientist! In this role, you will work on transformative use cases achieving measurable impact for our Integrated Supply Chain business functions. You will help translate business requirements into the right solution design and implement effective and robust tools on our internal Data & Analytics platform powered by Palantir Foundry and AWS. Throughout the use case journey, you will collaborate closely with other digital roles (product owners, data analysts, data engineers) and domain experts. As part of a broader team of Data Scientists within our department, and an active community of digital and AI experts across our company, there are many opportunities to grow and continuously learn from each other.
Who you are:
Bachelor or Master in Computer Science, Mathematics, Physics, Chemistry, Engineering, Operations Research, or a similar field
2+ years of professional experience applying Data Science outside academia, preferably in Supply Chain related fields
Proficiency in English is a must, knowledge of Korean, Japanese, or Mandarin is a plus
Good knowledge in a broad range of Data Science methods (for example, tabular data ML, time series forecasting, simulation & optimization, generative AI) with hands-on experience in some areas
Very good coding skills in Python with experience in collaborative development and rapid prototyping
Initial experience in building end-to-end applications with basic knowledge in cloud-based stacks for ML Engineering and CI/CD
Excellent communication skills to interact with diverse stakeholders and ability to present complex technical concepts to non-expert audiences, paired with a curious mindset and a spirit of taking initiative
與我們攜手施展你的超能力！
準備好接受挑戰，探索更多可能性嗎? 我們跟你一樣希望精益求精，持續突破! 我們全球的夥伴熱衷於科技創新，透過我們醫藥保健、生命科學和電子科技業務的解決方案豐富人們的生活。讓我們一起環抱著熱情和夢想關懷我們的員工、客戶、病患和這個世界。這就是我們不斷尋找具備好奇心的新血加入的原因，與我們一起大膽想像各種可能。
我們在電子科技領域裡所做的一切，都是為了能成為眾多企業身後推動數位化生活的推手。我們致力於成為值得信賴的供應商，為電子、汽車和化妝品行業提供高科技材料、服務和特種化學品。我們培養了一個全球協作的組織，每位員工都擁有取勝的熱情、秉持客戶至上的態度、充滿好奇心且行事果決。我們齊心努力突破科學的極限，為客戶創造更多的可能性。
Job details
How this role compares
Computed from every other active Biostatistics & Data Science role in our database, not just this employer's listings.
We currently track 386 comparable Biostatistics & Data Science roles across 44 biopharma companies.
Salary context
170 of 386 peers report a salary range (USD, annualized)
Peers share this role's job function. This posting doesn't list a seniority level, so peers aren't narrowed by seniority either -- the range below may span more levels than usual.
Where these roles are based
Top locations among the 386 comparable roles
+ 20 more countries
Seniority mix
313 of 386 peers have a known seniority level
Therapeutic area mix
39 of 386 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden
Similar opportunities
The closest matches from our peer group, ranked by how similar they are, not how well you'd qualify for them -- treat this as market context, not a guaranteed shortlist; a weak match is labeled as one below.
Matched on job function only -- seniority, specialty, and location weren't confirmed as aligned.
Matched on job function only -- seniority, specialty, and location weren't confirmed as aligned.
Matched on job function only -- seniority, specialty, and location weren't confirmed as aligned.
Matched on job function only -- seniority, specialty, and location weren't confirmed as aligned.
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How we calculate "similar"
No black box, no LLM guesswork: a deterministic score built from four normalized attributes. Here's this role's own peer group at different match levels, so you can see the mechanism, not just the result.
Every comparison starts from the same 100-point budget: 25 for working in the same function, 40 for the same therapeutic area, 20 for the same or adjacent seniority, 15 for the same country. A dimension we can't confirm on both sides contributes nothing, never a guess, never a free pass.
0 points, never a partial guess. A role we know almost nothing about beyond its function bottoms out at 25%; it never inflates to 100% just because there's little to compare against. Seniority uses a defined ladder (Associate → Manager → Associate Director → Senior → Principal → Director → Senior Director → Executive/VP) so "Director" and "Senior Director" count as adjacent, but "Director" and "Executive/VP" do not.