Join us today and make a difference in people's lives!
LivaNova is a global medical technology company built on decades of experience and a relentless commitment to improve the lives of patients around the world. As a worldwide leader in cardiovascular and neuromodulation solutions, we are dedicated to helping create meaningful products and therapies that transform lives each and every day. LivaNova is also dedicated to the highest standards, and we operate at the topmost level of business ethics and compliance
Our Competitive Intelligence/Data Scientist will build analytics capabilities in revenue-generating areas including: markets and competitive analysis, new drug entrants, salesforce efficiencies, and reimbursement strategies.
The primary focus will be in applying data mining techniques, doing statistical analysis, and building high-quality prediction systems. Information, or the models themselves, will be integrated with our products and go-to-market systems such as SalesForce. This person will be responsible for preparing and synthesizing data, analyzing and generating insights, and designing and implementing analytical solutions. She/he will help drive global improvements based on qualitative data and by investigating various topics and sharing insights to a broader audience.
Be responsible for providing technical leadership and defining, developing, and evolving data and advanced analytics products in a fast-paced and agile development environment.
Work with multiple parties including Project and Product Managers, Researchers and Clinicians, and related parties to understand requirements and execute to the project vision.
Translate machine intelligence requirements and project vision into a prioritized list of user stories, developing and delivering intelligence products to required timelines and quality standards.
Provide leadership in data creation, formatting, gathering, and standardization to enable efficient and effective machine learning.
Drive and support increased efficiency across the teams to eliminate duplication of effort.
Support product and technology reuse and scalability.
Support process improvements that guide development, sustaining, and support activities.
Drive world-class quality in the development and support of products.
Communicate effectively with a wide range of business, engineering, and scientific teams.
Engage subject matter experts in the successful transfer of complex domain knowledge.
Write code that meets standards and delivers desired functionality using the technology selected for the project.
Store structured analytical information and ensure it is cataloged and easily available to users for direct consumption or integration with analytical systems.
Ensure Analytics model quality assurance and validate them (peer validation).
Research tools, methodologies, and frameworks for data analytics, keeping up to date with the latest technology trends.
You must possess a Bachelor's Degree in Computer Science, Applied Mathematics, Statistics, or a related field.
Recent graduates are preferred, 1-3 years of experience is a plus.
Strong mathematical foundation, excellent analytical capabilities with experience in a range of machine learning techniques.
Passion for data and for working through complex details of data collection, processing and transformations.
Practical understanding of how data is turned into insights to enable the key business process. Experience creating analytical datasets.
Strong understanding of relational database structures, principles, and practices.
Descriptive statistical modeling and algorithms, Machine learning algorithms, Modeling dataset building, Optimization, Data visualization, Pattern, cluster, segmentation analysis.
Good knowledge of industry perspective and ability to translate business needs into data.
Creative problem-solving skills and openness to learning new technologies.
Ability to work collaboratively as part of a self-organizing scrum team with minimal supervision.
Knowledge of medical datasets and predictive analytics in the healthcare domain preferred.
Proficiency in any of the following relevant tools, programming languages & technologies, e.g. Python, R, SAS, Java, C, C++, C#, Matlab, SPSS IBM, Tableau, Alteryx, Qlikview, Rapid Miner, Visual Basic, Apache, Pig, Spotfire, Micro S, SAP HANA, Oracle, SQL language or SQL-like, is highly preferred.
Exposure to Agile practices (nice to have - scrum master certification).
The world is transforming, and we intend to be seen as the rainmakers of LivaNova innovation. If you feel like you may be a good fit for our team, we want to hear from you.
Our commitment to Diversity & Inclusion:
LivaNova values equality and celebrates diversity. We are committed to ensuring that our recruitment process is fair, transparent and free from unlawful discrimination.
Our selection process is driven by the key demands/requirements for the role rather than bias or discrimination on the basis of a candidate's sex, gender, age, marital status, veteran status, non-job-related disability/handicap or medical condition, family status, sexual orientation, religion, color, ethnicity, race or any other legally protected classification.
Background Checks at LivaNova:
Upon successful completion of the hiring process an offer may be extended. Please note, LivaNova reserves the right to conduct background investigations and/or reference checks on all its potential employees, where permitted by local legislation. This offer therefore, is contingent upon a clearance of such a background investigation and/or reference check, and can be rescinded, where permitted by local legislation, based upon data received in the background check and/or refusal to cooperate with or any attempt to affect the results of this check. This process is not currently valid in Germany.
Notice to third party agencies:
Please note that we do not accept unsolicited resumes from recruiters or employment agencies. In the absence of a signed Recruitment Services Agreement, we will not consider, or agree to, payment of any referral compensation or recruiter fee. In the event that a recruiter or agency submits a resume or candidate without a previously signed agreement, we explicitly reserve the right to pursue and hire those candidate(s) without any financial obligation to the recruiter or agency.