Manager Data Science and Data Integrity (all gender)

Abbvie (Ludwigshafen RP, Deutschland) Vor 13 Tagen veröffentlicht
About AbbVie AbbVie’s mission is to discover and deliver innovative medicines that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people’s lives across several key therapeutic areas: immunology, oncology, neuroscience, eye care, virology, women’s health and gastroenterology, in addition to products and services across its Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at [...] Follow @abbvie on Twitter, Facebook, Instagram, YouTube and LinkedIn. What do you get up for in the morning? For our Ludwigshafen site, we are looking for a Manager Data Science and Data Integrity (all gender) Are you a data native and would you like to shape the future of our global data products? Join our data team and be part of our journey to become a data-driven company. Your role: The world of pharmaceutical manufacturing is full of data challenges and opportunities. We’re building up a data science team which will be set out to tackle these. Your role is to build up a data science profile within our BTS (Business Technology Solution) department. You will be part of a rapidly growing, innovative and highly agile team of automation and track & trace engineers, MES, OSI PI and IT experts with opportunities to bring in new ideas with self-responsibility to have a real impact on our strategic development. You identify and recommend business process efficiencies and improvements by formulating and solving analytics challenges that offers the greatest business opportunity and drives data-driven decision making. You are responsible to determine appropriate datasets and algorithms, to uncover patterns, and to formulate business solutions. In our team you will be closely working with our business stakeholders to further automate business processes utilizing data science and machine learning., while aligning to global standards and best practices. You collaborate with business and BTS stakeholders to track and map value driven by the project to demonstrate savings and return on the investment (ROI) for process improvements derived from data analytics insights (such as product yield improvements, reduction of cycle time, and elimination of waste). You act as a technical liaison between BTS, vendors, and various business/client areas, using appropriate tools to collect, correlate, and analyze data for use, and implement solutions that drive business goals. Look forward to the following responsibilities: Stand up data science capabilities for our BTS department of Ludwigshafen Operations Design and implement data science and AI solutions, e.g. in the area of predictive scheduling, preventive maintenance, real-time tracking Investigate corporate data requirements and apply data analysis, design, modelling, and quality assurance techniques, to establish, modify or maintain data structures and their associated components (entity descriptions, relationship descriptions, attribute definitions). Identify and refine potential data science use cases together with our business stakeholders. Design, implement and shape our predictive applications through their entire lifecycle – from ideation and specification, architectural design, prototyping and integration into productive systems. Be part of designing and setting up a modern analytics and data architecture which fits the needs of a data-driven pharmaceutical company. Continuously refine our analytics landscape by evaluating new tools and analytical approaches. Lead the laboratory and IT compliance team of Ludwigshafen Operations BTS Ensure compliance of system lifecycle and operations with applicable guidelines (e.g. CFR 21 Part 11, Data Integrity) Drive assessment and improvement initiatives on Data Integrity for lab systems Qualifications Your AbbVie Talent: Master’s degree in data science, computer science, statistics, economics, mathematics, related field, or equivalent work experience is required Multiple years of working experience in a similar role. Advanced practical experience with supervised and unsupervised machine learning techniques in enterprise settings. Proficiency in machine learning frameworks and data analytics tools. Experience with big data applications (e.g. Spark), cloud platforms (AWS, Azure, Google Cloud) and containerization (Docker, Kubernetes, OpenShift) is a plus. Experience with implementing machine intelligence algorithms and model implementation using agile practices preferred. Experience in the systems development, implementation, and operations of a large-scale, enterprise systems. Excellent interpersonal skills and well-developed verbal and written communication skills. Must be able to effectively lead and facilitate meetings with customers and technical team members. Must be deliverables focused and detail oriented. Must exhibit exceptional teamwork skills. Must have a strong customer focus. Experience in Manufacturing preferred Capability to envision end-to-end data solutions and setting the right priorities. Openness to share your knowledge with colleagues and to learn from others. Fluent in spoken and written German and English. Experience with statistical packages / languages such as R, SPSS, SAS, MatLab, or MiniTab Experience and strength with at least one programming language such asC++, C#, or Python, or Java. Experience in Lean Six Sigma or Operational Excellence methodologies also an advantage Having a remarkable impact For you, working at AbbVie should not just be a job, but a passion. We are looking for people who really want to make a difference and who want to join us in putting patients at the center of what we do. First and foremost, we want to cultivate an open corporate culture, and this becomes apparent everywhere – in the production area, in the break rooms, in the employee restaurant and throughout the entire site. Our colleagues come from a wide variety of fields – from pharmaceutical production staff to employees who were once bakers or butchers. At AbbVie, you have the opportunity, from day one, to get involved, contribute and really effect change. Things never get boring at AbbVie! What we offer A challenging job with a high level of personal responsibility in a dedicated and competent team. A mentor will support your onboarding process as a coach and partner. Focused and passionate work needs the right framework. Therefore, we provide our employees with the greatest possible flexibility to align their daily work routine with their individual needs. This is rounded off by flexible working models, a wide range of services and comprehensive health and sports programs. AbbVie offers an attractive salary and corporate social benefits including our award-winning corporate health management, which officially ranks as one of the best in Germany, as well as a wide range of career paths and opportunities for professional development. Become a part of our team! Would you like to join our team? Great – we look forward to receiving your online application! A CV is completely sufficient. AbbVie is a highly diverse and international organization. We therefore welcome diversity among applicants, particularly applications from people with chronic diseases and severe disabilities. Your application At [...] under Bewerben bei AbbVie Deutschland you can find tips and tricks for a successful application. Have a look! The job isn't quite right for you? Then join our talent community and follow us on Facebook, LinkedIn, and Xing. Travel Yes, 10 % of the Time Job Type Experienced Schedule Full-time Job Level Code M Equal Employment Opportunity At AbbVie, we value bringing together individuals from diverse backgrounds to develop new and innovative solutions for patients. As an equal opportunity employer we do not discriminate on the basis of race, color, religion, national origin, age, sex (including pregnancy), physical or mental disability, medical condition, genetic information gender identity or expression, sexual orientation, marital status, protected veteran status, or any other legally protected characteristic.

Manager Data Science and Data Integrity (all gender)

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