Senior Data Engineer

<h3>Company Description</h3><p>We are SGS – the world’s leading testing, inspection and certification company. We are recognized as the global benchmark for sustainability, quality and integrity. Our 97,000 employees operate a network of 2,650 offices and laboratories, working together to enable a better, safer and more interconnected world.</p><h3>Job Description</h3><p>The SGS DIGICOMPLY team seeks an experienced data analyst. The selected candidate will be responsible for wrangling and ingesting customer data, peer reviewing data team members’ scripts and outputs, designing and running reports for customers, assisting with ad-hoc data projects, and contributing to both automating scripted processes and data science projects. This person will collaborate with the Research, Product, and Engineering teams on the responsibilities above with primary focuses on data wrangling and ingestion, and ongoing data management and QC processes. The candidate will have <strong>very good communication skills, and will be comfortable participating in a fast moving, business goal driven environment.</strong></p><p>Applicants should have an interest and excitement in integrating a huge array of different sources, improving and standardizing processes, and a passion for <strong>food safety  and sustainability</strong>. SGS DIGICOMPLY’s data complexity is derived from the diversity of sources and the flexibility required to integrate each data source into SGS DIGICOMPLY’s best in class risk management software. <strong>Food Safety data</strong>  processed at the million documents scale is our daily routine, and the right candidate will be excited by the challenge and ready to creatively design additional solutions for standardizing the collection, cleaning, structuring and ingestion of data, and delivering new insights.</p><p><strong><u>Job </u></strong><strong><u>characteristics:</u></strong></p><p>Analyze, train and interpret large data sets, which are used to develop data-driven solutions to difficult business challenges.</p><p><strong><u>Job duties:</u></strong></p><ul><li>Extract data from primary or secondary data sources.</li><li>Filter, clean and standardize data extracted to build an accurate data set to allow effective data analysis.</li><li>Train data and improve their precision.</li><li>Prototype new model: training and deployment.</li><li>Research of KNN for predictive analytics.</li><li>Develop and implement quality controls processes to ensure data integrity and accuracy throughout the data manipulation process.</li><li>Support the development team and regulatory specialists team</li><li>Interact with the clients</li></ul><h3>Qualifications</h3><p><strong><u>Skills and knowledge:</u></strong></p><ul><li>Strong problem solving skills with an emphasis on product development</li><li>Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.</li><li>Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.</li><li>Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.</li><li>Knowledge of food science and food safety fundamentals</li></ul><p><strong><u>General requirements:</u></strong></p><ul><li>Business needs understanding</li><li>Translate data driven insight into actions</li><li>Ability to learn new technologies, languages</li><li>Problem solving and data story-telling skills</li><li>Proactive, innovative and collaborative person</li><li>English: B2-C1.</li></ul><h3>Additional Information</h3><p><strong>The position might be remote and we`d like to hear from candidates within EU countries.</strong></p>