Akkodis is seeking a Principal Data Scientist, this role is a contract role with a client in Remote. We’re ideally looking for applicants with at least 10 years of related experience with Pharma and health care domain, and expertise in ML, Deep Learning and Python. Pay Range: $77-$80/hour; The rate may be negotiable based on experience, education, geographic location, and other factors. Description: • Our mission is to chase the miracles of science to improve people's lives. We're expanding in multiple directions, across borders and, most of all, in the way we think. we're building a team of brilliant individuals to drive the success of a new healthcare business to transform healthcare for all. People are the most critical ingredient to our success. • Team conducts cutting-edge research in health care and incubates data-driven digital and non-digital solutions which aim to improve a person's health outcomes, the lives and ability for families to support and care for their loved ones, clinicians experience, and to reduce health care costs. We are actively incubating multiple concepts to improve the lives of individuals and their loved ones globally, especially underserved populations, and we are seeking the best and the brightest to join this journey and change healthcare for all. • We are seeking an experienced and visionary Principal Data Scientist to lead our efforts in developing advanced predictive models and AI solutions for healthcare. The ideal candidate will possess a deep understanding of machine learning methodologies, a proven track record of delivering impactful data-driven solutions in a real-world setting, and the ability to drive innovation across diverse therapeutic areas. The overall purpose and main responsibilities are listed below: • Lead the design, development, and deployment of cutting-edge predictive models using various machine learning and AI techniques, including tree-based models (e.g., XGBoost) and transformer-based architectures (e.g., BERT), for early disease detection and proactive interventions. • Drive the strategic direction of data science initiatives across multiple therapy areas, identifying opportunities to leverage real-world data (e.g., open claims data, EHR) for improved patient outcomes and drug development, including the use of federated analytics and federatML. • Provide technical leadership and mentorship to a team of data scientists, fostering a culture of innovation, rigorous experimentation, and best practices in MLOps. • Evaluate and select appropriate modelling techniques and performance metrics (e.g., Precision, Recall, Bayes factor, NNT) based on specific problem statements and business objectives. • Collaborate closely with cross-functional teams including business owners, payers, clinicians, epidemiologists, statisticians, and IT to translate complex business problems into tractable data science solutions for deployment in real world. • Stay abreast of the latest advancements in machine learning, deep learning, and AI, and proactively integrate novel approaches into our predictive modelling capabilities. • Communicate complex analytical findings and their implications clearly and concisely to both technical and non-technical audiences. About you • PhD or Master's degree in a quantitative field (e.g., Computer Science, Statistics, Biomedical Informatics, Engineering, Physics). • 8+ years of progressive experience in data science, with a significant portion focused on predictive modelling and advanced analytics in healthcare or life sciences. • Demonstrated expertise in machine learning algorithms and deep learning architectures, including strong practical experience with transformer models (e.g., BERT). • Proficiency in programming languages such as Python or R, and experience with relevant data science libraries (e.g., Scikit-learn, TensorFlow, PyTorch, XGBoost). • Experience working with large-scale, real-world healthcare datasets such as claims data, electronic health records (EHR), or clinical trial data. • Strong understanding of statistical concepts and experimental design. • Proven ability to lead complex data science projects from conception to deployment, with a focus on delivering measurable business impact. • Excellent communication, interpersonal, and leadership skills, with the ability to influence and collaborate effectively across all levels of the organization. If you are interested in this role, then please APPLY NOW. For other opportunities available at Akkodis, or any questions, feel free to contact me. Equal Opportunity Employer/Veterans/Disabled Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, an EAP program, commuter benefits, and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable. Disclaimer: These benefit offerings do not apply to client-recruited jobs and jobs that are direct hires to a client. To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit https://www.akkodis.com/en/privacy-policy. The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable: · The California Fair Chance Act · Los Angeles City Fair Chance Ordinance · Los Angeles County Fair Chance Ordinance for Employers · San Francisco Fair Chance Ordinance