Sr Data Scientist (Tianjin, Tianjin, CN)
About this opportunity
Education Background: 教育背景
• Master's or PhD’s degree in Computer Sci-ence, Data Science, Statistics, Mathematics, Engineering, or a related field
• Extensive knowledge of data science and sta-tistics
• Excellent command of spoken and written English
Professional Experience专业经验:
• At least 5 years in a data focused position. Substantial experience working in data driven projects.
• Experience with cross functional teams and agile meth-odology.
• A high degree of independence and initiative to consist-ently ensure a strong innovation mindset to contribute to digital strategy fine tune and MI team development.
• Proven in-depth knowledge and experience to conduct complex data analysis, modeling and on large data sets, develop appropriate data services and applications to serve business better.
• Rich experience on all aspects of data science tech stacks, i.e., Data warehouse and Data lake, Databases, big data tools, Data ETL.
• Solid knowledge and skills relevant for NN Business cross-functional understanding, integration design and architecture thinking, flexible with design patterns like DDD/TDD to make solutions easy to be replicated and scaled, architecture fit NN business as well.
• Expert of both front-end and back-end programming languages, In-depth knowledge of DevOps and method-ologies.
• Hands-on experience with AI/ML in following areas, CV, NLP, Time-Series, familiar with open-source tools.
Key areas of responsibility 主要工作职责:
Key responsibilities of Data Scientist that demonstrates the variety of roles that the organization expects the position to fulfil:
•Set direction for Data science toolbox, data architecture and workflows development to support STJ digital transfor-mation
•Uses best practices and knowledge of internal or external business issues to improve products or services, i.e., digital solutions, governance processes, both business and technical architecture to meet the vision of ‘digital factory’
•Virtual community creation and participation to foster digital culture influencing by extending business understand-ing, architecture and digital solutions across IFP even PS
•Guide and develop data analysts to meet high competence digital talent demands
Main Job Tasks 主要工作任务:
1) Data science navigating and development:
Set direction of Data science toolbox, data architecture and workflows of cross-function working team to streamline and optimize the STJ data products governance process based on deep understanding of business context.
Constantly support and refine the work division of MI and DDIT collaborative team aiming for higher efficiency and productivity.
Provide sparring for management on strategic data challenges and opportunities.
2) Data products delivery:
Responsible for business request analyze, common data models development and data relocatable data services development.
Participate in solution design stage with team, influence data architecture, framework and solutions developing in line with STJ vision of ‘digital factory’.
3) Technical Research and Frontier Exploration:
Continuously research and evaluate new AI/ML tools and technologies, implementing appropriate technologies based on business needs.
Lead technology selection and tool evaluation to ensure the chosen technologies effectively support data analy-sis projects and business requirements.
4) Cross-Departmental Collaboration:
Work closely with business departments to understand their needs, ensuring data analysis projects address real business problems and promote data-driven decision-making.
Create and participate in various of global/local virtual communities advocating for digital transformation, and contribute to PS/IFP level standard digital execution.
We commit to an inclusive recruitment process and equality of opportunity for all our job applicants.
At Novo Nordisk, we're not chasing quick fixes – we're creating lasting change for long-term health. For over 100 years, we've been driven by a single purpose: to defeat serious chronic diseases and help millions of people live healthier lives. This dedication fuels our constant curiosity and inspires us to push the boundaries of what's possible in healthcare. We embrace diverse perspectives, seek out bold ideas, and build partnerships rooted in shared purpose. Together, we're making healthcare more accessible, treating and preventing diseases, and pioneering solutions that create change spanning generations. When you join us, you become part of something bigger – a legacy of impact that reaches far beyond today.
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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 62 comparable Senior Biostatistics & Data Science roles across 16 biopharma companies.
Salary context
22 of 62 peers report a salary range (USD, annualized)
Peers share this role's job function and a matching or adjacent seniority level -- not necessarily the same therapeutic area or country.
Where these roles are based
Top locations among the 62 comparable roles
+ 7 more countries
Seniority mix
62 of 62 peers have a known seniority level
Therapeutic area mix
1 of 62 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.
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.