For 75 years, Charles River employees have worked together to assist in the discovery, development and safe manufacture of new drug therapies. When you join our family, you will have a significant impact on the health and well:being of people across the globe. Whether your background is in life sciences, finance, IT, sales or another area, your skills will play an important role in the work we perform. In return, we'll help you build a career that you can feel passionate about. Job Summary As a Senior Data Scientist, you will play a critical role in the process to help unlocking the value of data. In this role, primary responsibilities include: :Lead and execute end to end data science projects, including problem formulation, data exploration, model development, validation, deployment and ongoing optimization for mission critical applications; :Collaborate closely with the Data Analysts team, Data Engineering team and DataOps team to automate and integrate data science solutions seamlessly into production pipelines; :Work collaboratively, in a consultative way, across the business units, advising on best approaches to leveraging data science in the most effective and efficient manner, including utilizing Generative AI technologies where applicable to develop cutting:edge solutions. Key Elements We are looking for the following minimum qualifications for this role: :Master's with a minimum of 5 years' experience or Bachelor's with a minimum of 7 years' experience in Data science, Computer science, Statistics, Operations research, applied mathematics, applied physics or any related field; :Excellent analytical and problem:solving skills with the ability to approach challenges creatively; :Strong communication skills to translate the findings into actionable business recommendations through rich data visualization; :Familiar with Agile methodologies and tools; :Self:driven and capable of working both independently and collaboratively within a team setting. Technical Expertise required: :Minimum of 5 years' hands:on experience processing and analyzing large data sets; :Minimum of 3 years' experience with the full Machine Learning product lifecycle process and able to take the initiative in making sure deadlines and requirements are met proactively; :Minimum of 5 years' experience working with development toolsets such as SQL, PySpark, Python, Pandas, Scala; :Minimum of 2 years' experience in data science projects focused on marketing, sales, or customer experience, delivering insights that drive business impact. Role Specific Information: :Location: Remote :Annual bonus based on performance; :Schedule: Daytime between Monday and Friday; :Permanent position as of the hiring, full:time 37.5hrs per week. Why Charles River ? :Competitive benefits as of the hiring. We pay up to 85 of premiums (health and dental coverage); :Paid development training; :Employee and family assistance program; :Excellent welcome program for new employees as well as in:house advancement and career development opportunities; :Access to a doctor and various health professionals (telemedicine); :4 weeks' Vacation and 10 Personal day policy. If you are interested in contributing to the well:being of our communities, not only across the country but around the world, please join us. This is Your Moment. About Safety Assessment Charles River is committed to helping our partners expedite their preclinical drug development with exceptional safety assessment services, state:of:the:art facilities and expert regulatory guidance. From individual specialty toxicology and IND enabling studies to tailored packages and total laboratory support, our deeply experienced team can design and execute programs that anticipate challenges and avoid roadblocks for a smooth, efficient journey to market. Each year approximately 300 investigational new drug (IND) progra