Data Solutions Engineer
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Søborg
Can you build and operationalize complex data solutions? Are you able to set directions and deliver results which have direct impact? Do you want to contribute to the research team’s effort towards exploring and creating new technology and being a world leader in the Data Engineering role? If so, then this could be the right opportunity for you as Data Solutions Engineer, so apply today! The position The Data Solutions Engineer will bring elements of appropriate data architecture and engineering, together with the infrastructure teams to translate data science solutions into highly available, scalable, reusable, consistent, secure and enterprise enabled systems and platforms, specifically in the applications of AI and Machine Learning (ML) applications. Moreover, the Data Engineer will, with guidance from more senior Data Scientists, contribute to the development, validation, and deployment of Artificial Intelligence/Machine Learning (AI/ML) algorithms and models, and work closely with other engineers to build AI/ML-fueled products. Tasks include: Work with various data science, ML, AI, imaging, bioinformatics, real-world evidence, and other research teams to build modern data-driven enterprise-ready solutions Interface with business partners to lead architecture and development of enterprise cloud-based data solutions and pipelines that feed into data science solutions Work with the data engineering, data science and data ownership teams to collect relevant data elements and implement data pipelines (data acquisition, preparation, cleaning, and consolidation) as an integral part of data science activity Work closely with various stakeholders to provide end-to-end support in data ETL and consumption Qualifications You have a either a Bachelor´s, Master´s or PhD degree within computer science, mathematics, engineering, physics, statistics, or a related quantitative discipline preferably combined with a couple of years relevant experience. Your educational degree is not as important as is your acquired knowledge through relevant practical experience. In addition, you have experience with: Ensuring the quality of the data in coordination with data analysts, data scientists and business partners (peer validation) Building and operationalizing complex data solutions, correcting problems, applying transformations, and recommending data cleansing/quality solutions Remaining up to date on company’s standards, industry practices and emerging technologies Working knowledge of scripting languages (Python, R, Scala, Julia a plus) Experience with SQL, DynamoDB, RedShift, EFS, EMR, EBS, ElastiCache and other relational/non-relational database technologies/concepts Experience with AWS data-related services such as Storage Gateway, CloudWatch, Glue, Athena, S3, Lambda, Data Pipeline, Data Migration, Step functions. Experience with CI/CD, basic ETL practices such profiling, cleansing, transforming, developing and documenting data structures, schemas and dictionaries. Proficiency in version control in git, GitHub, BitBucket, or similar tools If you have any of the below experiences, it will be considered to be an advantage: Familiarity with visualization tools (PowerBI, Tableau) and project management tools (JIRA, Confluence) a plus Experience working in life sciences/pharmaceutical industry is a plus Experience working within compliance (e.g.: quality, regulatory - data privacy, GxP, SOX) and cybersecurity requirements is a plus Perform analysis of complex sources to determine value and use and recommend data to include in analytical processes . AWS Certified Developer preferred but not required. As a person you ensure a healthy, engaging and inclusive work environment. You are capable of building trust and relationships across functions and cultures. You demonstrate agility and adapt quickly to changes. About the department The AI and Analytics Team is part of Novo Nordisk’s Data Science division, where we apply sophisticated algorithms and machine learning techniques to some of the hardest problems in the discovery and development of new healthcare solutions. By leveraging a blend of scientific, problem-solving, and quantitative skills, we provide superior data insights that empower Novo Nordisk to further develop and deliver life-changing treatments. We work in multidisciplinary teams with strong collaboration across all areas of the organization and engage in external collaborations to ensure access to cutting edge research and technology. Working at Novo Nordisk At Novo Nordisk, your skills, dedication and ambition help us deliver on our purpose to defeat diabetes and other serious chronic diseases in a financially, environmentally and socially responsible manner. In exchange, we offer you an opportunity to work with extraordinary talent and benefit from a range of possibilities for professional and personal development. Contact If you would like more information about the position, please reach out to: Faisal Khan, CVP - Adv Analytics & Real World at [email protected] or Zeljko Agic, Director - AI tech Ops at [email protected] Deadline 23 July 2023 Please note that applications will be reviewed continuously, and interviews will be planned as soon as a suitable candidate is identified. You do not need to attach a cover letter, but please include a few lines about your motivation in your CV. Please support us in a more inclusive process by refraining from attaching a photo in your CV. We commit to an inclusive recruitment process and equality of opportunity for all our job applicants. At Novo Nordisk we recognize that it is no longer good enough to aspire to be the best company in the world. We need to aspire to be the best company for the world and we know that this is only possible with talented employees with diverse perspectives, backgrounds and cultures. We are therefore committed to creating an inclusive culture that celebrates the diversity of our employees, the patients we serve and communities we operate in. Together, we’re life changing.
Information og data
Denne ledige stilling har jobtypen "Øvrige", og befinder sig i kategorien "Øvrige stillinger".
Arbejdsstedet er beliggende i Søborg.
Jobbet er oprettet på vores service den 31.10.2022, men kan have været deaktiveret og genaktiveret igen.
Dagligt opdateret: Dette job opdateres dagligt ud fra jobudbyderens hjemmeside via vores søgemaskineteknologi og er aktivt lige nu.
- Øvrige
- Søborg
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Statistik over udbudte jobs som øvrige i Søborg
Herunder ser du udviklingen i udbudte øvrige i Søborg over tid. Bemærk at jobs der ikke har en bestemt geografi ikke er medtaget i tabellen. I den første kolonne ser du datoen. I den næste kolonne ser du det samlede antal øvrige.
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Statistik over udbudte øvrige i Søborg over tid
| Dato | Alle jobs som øvrige |
|---|---|
| 20. september 2024 | 55 |
| 19. september 2024 | 56 |
| 18. september 2024 | 55 |
| 17. september 2024 | 58 |
| 16. september 2024 | 57 |
| 15. september 2024 | 60 |
| 14. september 2024 | 60 |
| 13. september 2024 | 60 |
| 12. september 2024 | 56 |
| 11. september 2024 | 57 |
| 10. september 2024 | 57 |
| 9. september 2024 | 56 |
| 8. september 2024 | 56 |
| 7. september 2024 | 56 |
| 6. september 2024 | 58 |
| 5. september 2024 | 60 |
| 4. september 2024 | 61 |
| 3. september 2024 | 57 |
| 2. september 2024 | 59 |
| 1. september 2024 | 64 |
| 31. august 2024 | 71 |
| 30. august 2024 | 76 |
| 29. august 2024 | 77 |
| 28. august 2024 | 77 |
| 27. august 2024 | 76 |
| 26. august 2024 | 68 |
| 25. august 2024 | 70 |
| 24. august 2024 | 70 |
| 23. august 2024 | 68 |
| 22. august 2024 | 68 |
| 21. august 2024 | 66 |