Data Scientist
2 weeks ago
**Chemistry that Matters**
A career at SABIC provides you with an opportunity to leave a lasting positive impact to the world and yourself. From excellent health and well-being benefits to our comprehensive learning programs. We offer a wide range of benefits and offerings that recognize that our people have unique motivations and ambitions. It’s all about matching what matters to you with what matters to us. Let’s explore what matters
As one of the world’s largest diversified chemical companies, we activate the power of human capital to address society’s future challenges. Through partnerships, we enable life-saving medical innovations and help fight world hunger. We are driving the circular economy for the benefit of communities and our planet through sustainability initiatives, such as our TRUCIRCLE portfolio. Our success is built upon the collective excellence of our 32,000 employees in 50+ countries. Our values - Inspire, Engage, Create, and Deliver - are the foundation of our success. To learn more about these and how we strive to Be the Impact, click here.
It is all about matching what matters to you with what matters to us. We are mindful about the importance of the team we are building and how our team members impact to our culture. We believe that good ideas come from anywhere, being inclusive to diverse perspectives is stimulating, encourages innovation and is critical to our mission. Let us explore this together
For an overview of our work culture and benefits, click here.
**Job Summary**
**How You Can Be the Impact**
- Support decision science programs like Material Informatics and Customer Experience within the R&D data team and communicate with stakeholders on daily basis
- Analyze user and material data, perform data anomaly detection and correction, and present findings. Prepare presentation materials for project status reviews and run regular meetings in alignment with team and organizational goals
- Explore new tools and processes for handling material informatics and customer experience programs. Learn and utilize commercial tools such as SAS JMP, Altair RapidMiner, custom scripts, and proprietary analytics platforms as required for the work
**What Matters to SABIC**
- BSc/BA/B.E./B.Tech. in Computer Science, Engineering, or relevant field; graduate degree in Data Science or other quantitative field is must
- Trainings or certification in statistical analysis and programming using Python/SQL is preferred
- Additional certifications or trainings in applied fields such as Python for Machine learning, Data engineering using Apache Spark, Optimizations algorithms is a plus
- Minimum 1+ years of experience working as a data analyst or data scientist. Any Previous experience working in academic, or research environments is preferred
- Must have experience in exploratory data analysis, data quality management, data cleaning, and preprocessing using Python/SQL.
- Demonstrated experience in building machine learning models including deep learnings models and understanding of generative models is a plus
- Applied experience in data preparation tools (e.g., Pandas, NumPy) and ML (Machine Learning) libraries such as PyTorch, PySpark, Tensor Flow 2.0, SciPy, Scikit Learn etc. is preferred
- Proficient in Data Visualization using Python or BI tools such as PowerBI.
We are proud to be a diverse and an equal opportunity employer. We are fully committed to a culture of respect and inclusion.
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