Qureos Mentor

Celanese

<div>Job Overview &#32508;&#36848;:

Senior Specialist, IT Application Solutions &ndash; Full Stack Developer for Research/Laboratory Applications
About the Role: We are looking for an senior full stack developer (5-10 years&rsquo; experience) to own end-to-end feature and capability development for custom applications that directly support our research laboratories. You&rsquo;ll work closely with our Application owners and subject matter experts in the business, along with our IT Business Relationship Managers in a highly collaborative, fast moving environment where iteration speed and execution matter. This role requires a build mindset, someone who thrives on solving tough problems, shipping quickly, and taking ownership of key technical initiatives across both the front end and backend. The ideal candidate is eager to learn and is passionate about building scalable and efficient applications.
Responsibilities &#32844;&#36131;:
<ul><li>Develop, enhance, and maintain full stack applications using C#, ASP.NET MVC, DevExpress Extensions, REACT, SQL Server, JavaScript.</li><li>
Design and optimize database structures, queries, and stored procedures in Microsoft SQL Server for optimal performance and scalability. Resolve performance bottlenecks.</li><li>
Build data intensive applications that interact with Snowflake as a data source</li><li>
Build web applications with REACT that interact with machine learning models that have been deployed as a service. Aid in the build of RESTful APIs for the model(s), and sending input data and receiving predictions or outputs from the model.</li><li>
Contribute to CI/CD pipelines, DevOps processes, and Azure cloud deployments
</li><li>Translate product vision and design discussions into intuitive, high quality user experiences.</li><li>
Participate in code reviews, technical discussions, and knowledge-sharing sessions to continuously improve application engineering standards.</li><li>
Provide technical support to customers and internal stakeholders, addressing application-related queries and troubleshooting issues. Investigate, present and implement solutions that solve complex application problems.</li><li>
Stay current with emerging trends in full stack engineering and data platforms and provide recommendations / plan for solution uplifts / removing technical
</li></ul>Qualifications &#35201;&#27714;:

Required Knowledge, Skills, and Abilities<ul><li><div><ul><li>
ASP.NET MVC: Strong grasp of the Model-View-Controller architecture for building scalable web apps.</li><li>
.NET Framework: Deep proficiency in C# and .NET libraries for backend logic.</li><li>
DevExpress MVC Components: Experience with DevExpress UI controls like Data Grid, Pivot Grid, Xtra Reports and other server-side extensions. Critical for lab workflow management application maintenance.</li><li>
Solid SQL Server relational database design, SQL optimization, and integration experience. Ability to develop and maintain complex SQL queries, stored procedures, and views for data extraction and reporting.
</li><li>JavaScript, jQuery, HTML/CSS: For UI enhancements and client-side scripting.</li><li>
Entity Framework / LINQ: ORM tools for data access and manipulation.</li><li>
SSRS (SQL Server Reporting Services): Designing and deploying reports.</li><li>
Built modern, responsive user interfaces with REACT frameworks
</li><li>Experience with Agile/Scrum methodologies.</li><li>
Ability to understand and write code documentation that conveys your solution to other developers</li><li>
Ability to trouble shoot and optimize applications for security and responsiveness</li><li>
Ability to effectively communicate technical concepts to nontechnical users and support stakeholder engagement.</li><li>
Proactive and adaptable, with the ability to operate in a dynamic environment with competing priorities.</li><li>
Excellent analytical, troubleshooting, communication and collaboration skills.</li><li>
Solid Understanding of DevOps processes and pipelines using Azure DevOps (git)</li></ul></div></li></ul>
Qualifications<ul><li><div><ul><li>
Bachelor&rsquo;s degree in Computer Science, Information Systems, Engineering, IT, or related field.</li><li>
5&ndash;10 years of full stack development experience in both frontend and backend environments</li><li>
Certifications in Microsoft technologies are a plus.</li></ul></div></li></ul>
Additional Nice to Have Experiences:<ul><li><div><ul><li>
Experience in web services, RESTFUL APIs, and microservices architectures</li><li>
Experience deploying with Azure App Services, Azure Web Services</li><li>
Collaboration with data scientists and engineers to integrate services with tools like Python
</li><li>Streamlit application development</li></ul></div></li></ul></div>

Senior Specialist, IT Application Solutions - - Full Stack Software Developer

<div>Job Overview &#32508;&#36848;:

We are seeking a Data Scientist to support our custom Product Finder application by providing insights derived from company data analysis. The ideal candidate will utilize large external and internal data sets to identify product similarities and differences, recommending actionable courses based on their findings. The candidate should have extensive experience with various data mining and analysis methods, tools, model building and implementation, algorithm development, and simulation running.
Responsibilities &#32844;&#36131;:

Required Knowledge/Skills/Abilities<ul><li>
Programming Proficiency: Strong experience with programming languages such as R, Python, and SQL. Proficient in manipulating data and extracting insights from large datasets.</li><li>
Large Language Models: In-depth knowledge and hands-on experience with LLMs, including models like GPT (Generative Pre-trained Transformer) and BERT (Bidirectional Encoder Representations from Transformers). Understanding their mechanisms, strengths, limitations, and ethical considerations.</li><li>
RAG Techniques: Demonstrated experience with RAG techniques and their applications, leveraging RAG to enhance language model performance by combining retrieval and generative capabilities for more accurate, contextually relevant responses.</li><li>
Statistical Techniques: Deep knowledge of advanced statistical techniques and concepts (e.g., regression analysis, distribution properties, statistical testing) and experience applying these techniques to data analysis and modeling. Familiarity with data mining techniques such as GLM/Regression, Random Forest, Boosting, Trees, text mining, and social network analysis.</li><li>
Machine Learning Frameworks: Familiarity with machine learning frameworks like</li><li>
TensorFlow and PyTorch, and libraries designed for working with LLMs (Large Language Models), RAG (Retrieval-Augmented Generation), and LMMs (Linear Mixed Models).</li><li>
Linear Mixed Models: Solid understanding and practical application of LMMs in analyzing data with multiple levels of correlation or non-constant variability. Experience applying LMMs to complex datasets, ensuring accurate data interpretation and decision-making.</li><li>
Data Preparation: Experience in preprocessing, cleaning, and structuring large datasets for use with advanced models like LLMs and RAG systems. Efficient in managing and manipulating big datasets to ensure high-quality inputs for model training and analysis.</li><li>
Machine Learning Techniques: Solid understanding and application experience with various machine learning techniques, including clustering, decision tree learning, and artificial neural networks, along with their real-world advantages and limitations.</li><li>
Critical Thinking and Problem-Solving: Ability to apply critical thinking and problem-solving skills to leverage LLMs, RAG, and LMMs in addressing complex business challenges. Design and implement models to effectively analyze data, predict outcomes, and provide insights.</li><li>
Communication Skills: Excellent verbal and written communication skills, capable of articulating complex concepts and findings to both technical and non-technical stakeholders. Proven ability to collaborate with cross-functional teams to drive projects to completion.</li><li>
Interdisciplinary Collaboration: Ability to work independently with experts from various fields, including chemical engineers, process engineers, and environmental scientists, to integrate diverse data sources and insights.</li><li>
Experience and Education: 5+ years of experience manipulating datasets and building statistical models. A Bachelor's or Master&rsquo;s degree in Statistics, Mathematics, Computer Science, or another quantitative field.</li></ul>
Qualifications &#35201;&#27714;:

Desirable Knowledge/Skills/Abilities<ul><li>
Coding APIs: Knowledge of coding APIs and experience with languages like JavaScript and open-source frameworks such as Streamlit.</li><li>
Cloud Services: Experience with cloud services (AWS, Azure, Google Cloud) and cloud data warehouses (Snowflake). Understanding how to leverage these for scalable data analysis.</li><li>
Data Visualization: Proficiency in data visualization tools and libraries (e.g., PowerBI, Matplotlib, Seaborn) to communicate findings visually.</li><li>
Data Analysis Tools: Experience using Alteryx for data analysis and manipulation.</li><li>
Data Architecture and Pipelines: Knowledge of data architecture and pipelines, including experience with big data technologies and database management systems.</li><li>
Enterprise Systems: Knowledge of SAP and Salesforce is a plus.</li><li>
Chemistry Background: Background in Chemistry is an advantage.</li></ul></div>

Senior Specialist, Digital Innovation Data Scientist

<div>Job Overview &#32508;&#36848;:
<div>
Celanese is seeking a highly skilled Data Scientist to join its Digital Innovation team. This role focuses on delivering cutting-edge data solutions with an emphasis on data architecture, engineering, and cloud-based data services. The ideal candidate will have expertise in Snowflake, Azure Data Factory, and Python, and will play a crucial role in enhancing the company's digital presence and customer engagement. The role will begin by supporting Chemille, our custom Product Finder application. Save
</div>Responsibilities &#32844;&#36131;:
<ul><li>Assist in overall architecture design, performance tuning, cost management, and</li><li>
implementation of data solutions within Azure cloud environments.</li><li>
Implement end-to-end data analytics solutions (from data ingestion through visualization)</li><li>
for large-scale, complex client environments.</li><li>
Define and manage execution from conception to prototyping, testing, deploying, and measuring its overall business value.</li><li>
Look beyond existing methodologies and own discipline to define and resolve complex</li><li>
problems, acting as a subject matter expert in one or more areas of the role.</li><li>
Influence issues that impact design/selling success or address future concepts, products, or</li><li>
</li><li>
Create formal networks with key decision-makers involving coordination among groups.</li><li>
Communicate complex technical topics to non-technical business and senior executives and</li><li>
assist with scoping, architecting, and selling cloud data solutions.</li><li>
Attend business performance review meetings to help stakeholders explore data and</li><li>
uncover insights.</li><li>
Work autonomously and have decision-making authority on tasks or projects, often acting</li><li>
as a project or program leader.</li><li>
Provide guidance on data governance, security, and privacy.</li></ul>
Qualifications &#35201;&#27714;:

Required Skills:
<ul><li>3+ years of Data Warehouse architecture and delivery experience.</li><li>
3+ years of ETL/ELT/Python programming skills, including experience with pipeline orchestration tools, logging, monitoring &amp; alerting, deep troubleshooting, and automated testing &amp; deployments (CI/CD).</li><li>
Proficiency in Cloud Data Warehouse technology like Snowflake.</li><li>
Proficiency in Analytics &amp; ETL tools like Power BI, and Alteryx.</li><li>
Familiarity with SAP ERP, SAP BW, SFDC, Files, etc. data sources.</li><li>
Capability to tie infrastructure and security requirements to data fabric.</li><li>
Demonstrated experience working in all phases of full life cycle data analytics development: Requirements, Architecture, Design, Testing, and Deployment.</li><li>
Ability to collaborate with executives on strategy, project portfolio management, and best practices.</li></ul><ul><li>
Strong presentation skills to author slides and sell technical solutions to clients.</li><li>
Project management skills and ability to multitask, with a track record of meeting complex stakeholder needs under tight timelines.</li><li>
Strong written and verbal communication skills.</li></ul> 
Preferred Additional Skills:
<ul><li>Experience with the Microsoft Azure suite of products.</li><li>
Experience in Snowflake, data warehouse in the Cloud.</li><li>
Experience in database automation and ETL script development.</li><li>
Experience with data ingestion pipelines in Python programming language.</li><li>
General vector database knowledge.</li></ul>
Required Education &amp; Certifications:
<ul><li>B.S. in Data Science, Computer Science, Information Systems, Business, Engineering, or related field.</li><li>
Snowflake &ndash; Snowpro Core certification preferred.</li><li>
Analytics tools &ndash; Power BI certification is a plus.</li><li>
ETL - Alteryx Designer Certified Associate/Professional preferred is a plus.</li></ul></div>

Senior Engineer, Digital Innovation

<div>Job Overview &#32508;&#36848;:

Celanese is seeking a highly skilled and experienced Principal Data Architect to drive data-led transformation. The ideal candidate will design conceptual, logical, and physical data models, ensuring they are reusable, easily understood, and future-proof. This role demands a deep understanding of business processes, data platform architecture, and data governance principles. Join our team to shape the future of data products, supporting strategic initiatives and enhancing data-driven decision-making across the organization. If you are passionate about creating robust data solutions and driving innovation, we invite you to apply.
Responsibilities &#32844;&#36131;:

Data Modeling:<ul><li>
Design and develop conceptual, logical, and physical data models.</li><li>
Ensure data models support business processes efficiently and are adaptable to future changes.</li></ul>
Business Process Understanding:<ul><li>
Collaborate with stakeholders to gather and understand business requirements.</li><li>
Translate business requirements into technical specifications and data models.</li></ul>
Data Platform Architecture:<ul><li>
Optimize data integration, storage, and retrieval processes.</li><li>
Partner with Data Engineering to develop and maintain ETL processes.</li></ul>
Data Governance:<ul><li>
Partner with Data Governance to implement data governance principles to ensure data quality, consistency, and compliance.</li><li>
Develop and enforce policies and procedures for data management and usage.</li></ul>
Collaboration and Communication:<ul><li>
Work closely with cross-functional teams to ensure alignment of data architecture with business goals.</li><li>
Communicate complex technical concepts to non-technical stakeholders effectively.</li><li>
Support and Mentor Data Engineering and Data Governance team members</li></ul>
Strategic Planning:<ul><li>
Partner with leadership teams to design, develop, and implement organizational data strategy that aligns with business processes.</li><li>
Identify internal and external data sources to develop an effective data management system.</li></ul>
Technical Leadership:<ul><li>
Partner with Platform Engineering on all aspects of data architecture including platform evaluation, technical design, and application development.</li><li>
Utilize data modeling tools and programming languages to test and troubleshoot data structure applications and systems.</li><li>
Conduct continuous audits and performance measurements of database management.</li></ul>
Security and Compliance:<ul><li>
Integrate technical data functionalities that ensure data accessibility, security, and accuracy.</li><li>
Ensure compliance with regulatory and safety standards, securing data from potential threats.</li></ul>
Documentation:<ul><li>
Document data pipeline processes for metadata and data cases.</li><li>
Define and manage data flow and dissemination within the organization.</li></ul>
Qualifications &#35201;&#27714;:

Education and Experience:<ul><li>
Bachelor's or Master's degree in Computer Science, Information Technology, or related field.</li><li>
Minimum of 8 years of experience in database administration, systems engineering, and administration.</li><li>
Proven experience in at least one full implementation of data architecture solutions.</li></ul>
Technical Skills:<ul><li>
Expertise in data modeling, database management systems, data warehouses, and lakehouses.</li><li>
Proficiency in SQL development and database management.</li><li>
Strong knowledge of data modeling and designing tools such as ER/Studio.</li><li>
Experience with SAP, Salesforce, Informatica, Microsoft Azure, and Snowflake.</li><li>
Familiarity with cloud computing technologies and DevOps practices.</li><li>
Understanding of Generative AI, NLP, text analysis, predictive modeling, and machine learning.</li><li>
Knowledge of big data tools and data analysis techniques.</li></ul>
Methodologies and Best Practices:<ul><li>
Understanding of the systems development life cycle, project management techniques, design, and testing procedures.</li><li>
Ability to design and develop data flow structures and data warehouses.</li><li>
Skill in carrying out data security and compliance processes.</li></ul>
Soft Skills:<ul><li>
Critical thinking and problem-solving skills.</li><li>
Strong communication skills to effectively interact with cross-functional teams and stakeholders.</li><li>
Proficiency in agile methodologies.</li></ul>
Certifications:<ul><li>
Relevant certifications in data architecture, cloud computing, or database management are preferred.</li></ul>
Additional Qualifications:<ul><li>
Ability to conduct research and develop strategies for data collection, migration, and retrieval.</li><li>
Understanding of data security measures for data systems.</li><li>
Experience in designing scalable, secure, and high-performance data architecture.</li></ul></div>

Principal Engineer, Digital Innovation

Join Celanese and explore 4   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Celanese

ABOUT_COMPANY

Senior Specialist, IT Application Solutions - - Full Stack Software Developer

Senior Specialist, Digital Innovation Data Scientist

Senior Engineer, Digital Innovation

Principal Engineer, Digital Innovation