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From 11,734 similar postings that came down. Coming down is not always a hire.
Tianjin, Tianjin, CN
Actively hiring, first seen by us 3 days agoSet direction for data science toolbox, data architecture and workflows
Develop common data models and data services for business requests
Research and evaluate new AI/ML tools and technologies
Guide and develop data analysts
Work with business departments so analysis addresses real business problems
Set direction for Data science toolbox, data architecture and workflows development to support STJ digital transfor-mation
Responsible for business request analyze, common data models development and data relocatable data services development.
Continuously research and evaluate new AI/ML tools and technologies, implementing appropriate technologies based on business needs.
Guide and develop data analysts to meet high competence digital talent demands
Work closely with business departments to understand their needs, ensuring data analysis projects address real business problems
At least 5 years in a data focused position.
Master's or PhD’s degree in Computer Sci-ence, Data Science, Statistics, Mathematics, Engineering, or a related field
Hands-on experience with AI/ML in following areas, CV, NLP, Time-Series, familiar with open-source tools.
Experience with cross functional teams and agile meth-odology.
Excellent command of spoken and written English
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
Actively hiringFirst seen by us 3 days ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 3
Early. Similar jobs usually come down between day 8 and day 60.
From 11,734 similar postings that came down. Coming down is not always a hire.
15 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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New Data Scientist postings at the employers we follow are down 4% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
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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Tianjin, Tianjin, CN
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