Senior/Data Scientist

Join to apply for the Senior/Data Scientist role at Evonik

Join to apply for the Senior/Data Scientist role at Evonik

What We Offer
Explore a world of opportunities with us. Look ahead with us and help shape innovative solutions to make our world more sustainable and life healthier, more vibrant and more comfortable. At Evonik, you have the chance to explore, thrive, and grow alongside 33,000 colleagues. Among attractive career paths and high-quality development programs, we not only offer performance-based remuneration and occupational health benefits but also hybrid and flexible working environments with #SmartWork. Bring your fresh perspective, develop your strengths, break out your mold, and find a career that fits your dreams with us.

What We Offer
Explore a world of opportunities with us. Look ahead with us and help shape innovative solutions to make our world more sustainable and life healthier, more vibrant and more comfortable. At Evonik, you have the chance to explore, thrive, and grow alongside 33,000 colleagues. Among attractive career paths and high-quality development programs, we not only offer performance-based remuneration and occupational health benefits but also hybrid and flexible working environments with #SmartWork. Bring your fresh perspective, develop your strengths, break out your mold, and find a career that fits your dreams with us.
Click on the link below to learn what our employees have to say about Evonik:

• Drive and execute projects within Advanced Process Innovation program (i.e., primarily within process efficiency workstream) by developing analytical models and/or machine learning algorithms. This role is designed as a developer role within agile project management method, with potential opportunity to be product owner.
• Collaborate with internal production, technology and engineering teams, and potential external partners to deliver Advanced Process Innovation program and identify additional opportunities for improvements to fill the program pipeline.
• Communicate results, findings and recommendations from analysis clearly to relevant stakeholders through clear and concise reports and presentations.
• Collaborate with Data Engineer to design MLOps/DevOps pipeline, maintain data pipelines and databases, ensuring data integrity, while keeping in compliance within organization data governance and security policies.
• Act as a coach for the organization to democratize machine learning techniques by running initiatives to support this objective.
• Stay abreast with industry trends and emerging technology in data science and machine learning methodology with the intent to bring them into the organization.
  

Requirements

• Master or Ph.D. in Data Science, Business Informatics, Computer Science, Chemical Engineering or a related field.
• Minimum of 5 years of experience in the field of data science/analytics, DevOps/MLOps, data engineering and project management (full-stack ML engineering). Experience within chemical or manufacturing industry is preferred.
• Proficiency in programming languages such as Python & R, collaborative tools like GitHub & Azure DevOps, and experience with data visualization tools (i.e., Tableau, PowerBI).
• Excellent communication skills, intercultural competence and team spirit with curiosity to explore new technologies and tools in the industry
• Basic knowledge of process and/or chemical engineering is desirable.
• Familiarity with other engineering/process control related software (ASPEN, PACE, etc) is a plus.
• Network with local universities and local vendors/suppliers is a plus
  

Your Application
To ensure that your application is proceeded as quickly as possible and to protect the environment, please apply online via our careers portal. Further information about Evonik as Employer can be found at address your application to the Talent Acquisition Manager, stating your earliest possible starting date and your salary expectations.
Your Talent Acquisition Manager:
Samantha Fu
Company is
Evonik (SEA) Pte. Ltd.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Chemical Manufacturing

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