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Senior Data Scientist

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Work setting
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Employment
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What you’ll work on

Full posting
  • Set 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

From the employer’s posting
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

What you’ll bring

All qualifications

Core experience

  • At least 5 years in a data focused position
  • Master's or PhD in computer science, data science, statistics, mathematics, engineering or related field
  • Hands-on experience with AI/ML in CV, NLP or time-series
  • Experience with cross-functional teams and agile methodology
  • Excellent command of spoken and written English
Qualification wording
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 & alternatives
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
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Actively hiringFirst seen by us 3 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 9, 20263 days ago
Recorded sightings
5
Last seen by us
Nov 13, 2026

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How this job compares

Time since we first saw it

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.

Novo Nordisk is hiring

15 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

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Demand for Data Scientist roles

New Data Scientist postings at the employers we follow are down 4% over the last 6 weeks compared with the 6 before.

Weekly new Data Scientist postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 1,403, the most 2,949, and the latest week had 2,098.
August 17Last week

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.

About the role

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.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

   

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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