Remote Chemical Data Scientist

Placements24; Kimberley; Hybrid; CAD 51.000 - 101.000; Vollzeit

Benefits dieser Stelle

Remote work

Health benefits

Retirement plan

Professional development

Global team

Zusammenfassung

Our client in the chemical data science space is seeking a talented Data Scientist to join a fully remote team. You will leverage advanced analytics, ML, and statistical modeling to extract insights from complex chemical datasets, collaborating with research scientists and chemical engineers to accelerate discovery and optimize processes.

The ideal candidate has a strong data science background with understanding of chemical principles and experience with cloud platforms.

Qualifikationen

• Master's or Ph.D. in Data Science, Computer Science, Chemical Engineering, Chemistry, or a related quantitative field.
• 3–5 years of experience in data science applying ML/AI to scientific or engineering problems.
• Proficiency in Python or R with relevant data science libraries and tools.

Aufgaben

• Develop and implement machine learning models for predictive analytics and materials discovery.

Kenntnisse

Python

R

Pandas

NumPy

Scikit-learn

TensorFlow

PyTorch

SQL

NoSQL

Data Visualization

Ausbildung

Master's degree in Data Science

PhD in Data Science, Chemistry, Chemical Engineering or related field

Tools

SQL

NoSQL

Data warehousing

AWS

Azure

GCP

Jobbeschreibung

About the Role

Our client, a global leader in chemical research and development, is looking for a talented and motivated Chemical Data Scientist to join their innovative, fully remote team. This role is pivotal in leveraging advanced data analytics, machine learning, and statistical modeling to drive insights from complex chemical datasets. You will work closely with research scientists and chemical engineers to accelerate discovery, optimize processes, and solve challenging problems across various chemical disciplines. The ideal candidate will possess a strong background in data science coupled with a solid understanding of chemical principles. If you are passionate about applying cutting-edge data techniques to the chemical industry and thrive in a remote-first environment, this opportunity is perfect for you. You will contribute to groundbreaking projects from the comfort of your own workspace.

Key Responsibilities

• Develop and implement machine learning models for predictive analytics, process optimization, and materials discovery.
• Clean, process, and analyze large, complex chemical datasets from various sources (e.g., lab experiments, pilot plants, manufacturing).
• Design and conduct statistical analyses to extract meaningful insights and identify trends.
• Collaborate with chemical engineers and scientists to define data-driven problems and solutions.
• Develop data visualizations and dashboards to communicate findings effectively to technical and non-technical audiences.
• Build and maintain robust data pipelines and databases.
• Stay abreast of the latest advancements in data science, machine learning, and their applications in chemistry and chemical engineering.
• Contribute to the development of data governance and best practices within the organization.
• Document methodologies, findings, and model performance.
• Participate in virtual team meetings and contribute to collaborative problem-solving.

Requirements

• Master's or Ph.D. in Data Science, Computer Science, Chemical Engineering, Chemistry, or a related quantitative field.
• 3-5 years of experience in data science, with a focus on applying ML/AI techniques to scientific or engineering problems.
• Proficiency in programming languages such as Python or R, including relevant data science libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
• Experience with database technologies (SQL, NoSQL) and data warehousing concepts.
• Strong understanding of statistical modeling, machine learning algorithms, and experimental design.
• Familiarity with chemical principles, processes, or materials science is highly desirable.
• Excellent analytical, problem-solving, and critical thinking skills.Strong communication and collaboration skills for remote team environments.
• Ability to work independently, manage priorities, and meet deadlines.
• Experience with cloud computing platforms (AWS, Azure, GCP) is a plus.

Benefits

• This is a fully remote position offering exceptional work-life balance and flexibility.
• Our client provides a competitive salary, comprehensive health benefits, and retirement plan contributions.
• We invest in our remote employees' professional development through online courses, virtual conferences, and access to digital learning resources.
• You’ll be part of an innovative global team tackling exciting challenges in the chemical industry, all from your preferred location in **Kimberley, Northern Cape**, or anywhere else in South Africa.