Senior Data Scientist

Evonik; Singapore; Hybrid; SGD 80,000 - 110,000; Full time

Job summary

A leading sustainable solutions company in Singapore is seeking a Data Scientist to drive projects in Advanced Process Innovation. This role involves developing analytical models and collaborating with internal teams to enhance process efficiency. Ideal candidates will hold a master's or Ph.D. and have at least 5 years of experience in data science, with skills in Python, R, and data visualization tools. You'll have the opportunity to work in a hybrid environment, contributing to innovative and sustainable practices.

Benefits

Performance-based remuneration

Occupational health benefits

#SmartWork flexibility

Qualifications

• Minimum of 5 years of experience in data science/analytics and project management.
• Experience within the chemical or manufacturing industry preferred.
• Basic knowledge of process or chemical engineering desirable.

Responsibilities

• Drive and execute projects within Advanced Process Innovation.
• Collaborate with internal teams to deliver program results.
• Communicate findings and recommendations to stakeholders.

Skills

Machine learning

Data analysis

Python

R

Data visualization

Project management

Communication skills

Team collaboration

Education

Master or Ph.D. in Data Science, Business Informatics, Computer Science, or related field

Tools

GitHub

Azure DevOps

Tableau

PowerBI

ASPEN

PACE

Job description

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 :

RESPONSIBILITIES

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 highly 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