Clariant Corporation
Job ID:
40805 |
Location:
Palo Alto, California, USA
Clariant is currently looking for a Data Scientist to support our project teams across R&D, manufacturing, and business development. The Data Scientist will work closely with cross-functional teams to design and maintain scalable data pipelines, develop machine learning models, and generate actionable insights that accelerate innovation. Candidates should have a strong foundation in data science and programming, with experience in Python, SQL, and related tools. This position is ideal for someone who is analytical, hands‑on with data, and motivated to tackle complex problems while collaborating with diverse stakeholders. Clariant offers a competitive salary, annual bonus, PTO, and more. If you are ready to advance data-driven innovation in a dynamic workplace, apply today – we look forward to hearing from you! The salary range for this position in California is $90,000–$120,000. This includes base salary and annual incentive bonus; final offer is based on skills, experience, and internal equity.
Responsibilities
Design, build, and maintain scalable data pipelines to process and analyze high-throughput experimental and process data efficiently, ensuring reproducibility, reliability, and actionable insights.
Develop and maintain robust code using Python, C/C++, SQL, BitBucket, and other tools, ensuring solutions are reproducible and maintainable in a fast‑paced research environment.
Preprocess, clean, and transform raw experimental data into structured formats suitable for modeling, overcoming challenges of high‑volume, heterogeneous datasets.
Analyze complex datasets for trends, patterns, and correlations, presenting clear, research‑ and business‑focused insights to stakeholders across R&D, manufacturing, business development, and IT.
Advance department expertise in data science and machine learning, staying current with emerging technologies and techniques to maintain a competitive edge in high‑throughput experimentation and materials informatics.
Collaborate with cross‑functional teams to understand data requirements and deliver solutions that meet business and research goals, balancing diverse stakeholder expectations and technical constraints.
Upgrade and maintain automation and data retrieval systems to manage increasing data volumes, ensuring high‑quality, reproducible results while adapting to evolving analytical platforms.
Communicate findings effectively and contribute to team‑oriented research, ensuring solutions are both scientifically rigorous and practically applicable, while demonstrating strong problem‑solving abilities and attention to detail.
Requirements
Bachelor's degree in Data Science, Computer Science, Engineering, or a related quantitative field.
0–5 years of applied data science experience with programming skills in Python, C/C++ or C#, SQL.
Experience with high-throughput experimentation, catalysis research, or materials informatics is highly desirable.
Familiarity with ELNs, LIMS, or industrial data systems is a plus.
Strong problem‑solving, communication, and collaboration skills, with the ability to manage multiple projects in a dynamic R&D environment.
What's in it for you?
Medical/Dental/Vision Insurances
Paid Holidays
PTO time with a carry‑over benefit
Tuition Reimbursement
Wellness Program
EAP Program
Spending and Savings Accounts
Life/AD&D Insurance
Disability Insurance
Pet Insurance
Online discount Mall
Auto/Home Insurance
Identity Theft Protection
Legal Services Plan
Mahogany McClurkin Talent Acquisition Partner mahogany.mcclurkin@clariant.com
Clariant Corporation is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, genetic information, sexual orientation, gender identity, disability, protected Veteran status, or any other protected class as established by law.
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40805 |
Location:
Palo Alto, California, USA
Clariant is currently looking for a Data Scientist to support our project teams across R&D, manufacturing, and business development. The Data Scientist will work closely with cross-functional teams to design and maintain scalable data pipelines, develop machine learning models, and generate actionable insights that accelerate innovation. Candidates should have a strong foundation in data science and programming, with experience in Python, SQL, and related tools. This position is ideal for someone who is analytical, hands‑on with data, and motivated to tackle complex problems while collaborating with diverse stakeholders. Clariant offers a competitive salary, annual bonus, PTO, and more. If you are ready to advance data-driven innovation in a dynamic workplace, apply today – we look forward to hearing from you! The salary range for this position in California is $90,000–$120,000. This includes base salary and annual incentive bonus; final offer is based on skills, experience, and internal equity.
Responsibilities
Design, build, and maintain scalable data pipelines to process and analyze high-throughput experimental and process data efficiently, ensuring reproducibility, reliability, and actionable insights.
Develop and maintain robust code using Python, C/C++, SQL, BitBucket, and other tools, ensuring solutions are reproducible and maintainable in a fast‑paced research environment.
Preprocess, clean, and transform raw experimental data into structured formats suitable for modeling, overcoming challenges of high‑volume, heterogeneous datasets.
Analyze complex datasets for trends, patterns, and correlations, presenting clear, research‑ and business‑focused insights to stakeholders across R&D, manufacturing, business development, and IT.
Advance department expertise in data science and machine learning, staying current with emerging technologies and techniques to maintain a competitive edge in high‑throughput experimentation and materials informatics.
Collaborate with cross‑functional teams to understand data requirements and deliver solutions that meet business and research goals, balancing diverse stakeholder expectations and technical constraints.
Upgrade and maintain automation and data retrieval systems to manage increasing data volumes, ensuring high‑quality, reproducible results while adapting to evolving analytical platforms.
Communicate findings effectively and contribute to team‑oriented research, ensuring solutions are both scientifically rigorous and practically applicable, while demonstrating strong problem‑solving abilities and attention to detail.
Requirements
Bachelor's degree in Data Science, Computer Science, Engineering, or a related quantitative field.
0–5 years of applied data science experience with programming skills in Python, C/C++ or C#, SQL.
Experience with high-throughput experimentation, catalysis research, or materials informatics is highly desirable.
Familiarity with ELNs, LIMS, or industrial data systems is a plus.
Strong problem‑solving, communication, and collaboration skills, with the ability to manage multiple projects in a dynamic R&D environment.
What's in it for you?
Medical/Dental/Vision Insurances
Paid Holidays
PTO time with a carry‑over benefit
Tuition Reimbursement
Wellness Program
EAP Program
Spending and Savings Accounts
Life/AD&D Insurance
Disability Insurance
Pet Insurance
Online discount Mall
Auto/Home Insurance
Identity Theft Protection
Legal Services Plan
Mahogany McClurkin Talent Acquisition Partner mahogany.mcclurkin@clariant.com
Clariant Corporation is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, genetic information, sexual orientation, gender identity, disability, protected Veteran status, or any other protected class as established by law.
#J-18808-Ljbffr