**Experienced Full Stack Data Scientist – Advanced Analytics and Machine Learning Expert**
Are you a highly skilled data scientist with a passion for advanced analytics and machine learning? Do you want to join a dynamic team that is shaping the future of healthcare and retail? Look no further than blithequark, a leading healthcare and retail company with a rich history of innovation and customer-centricity. At blithequark, we are committed to creating more joyful lives through better health. Our team of experts is dedicated to developing cutting-edge solutions that improve patient outcomes, enhance customer experiences, and drive business growth. As a Senior Data Scientist, you will play a critical role in driving our analytics and machine learning initiatives, leveraging your expertise to uncover insights, develop predictive models, and inform business decisions. **Job Responsibilities:** * Build and deploy advanced machine learning models using technical expertise in data science, statistical modeling, and computational techniques. * Develop and maintain complex data pipelines, leveraging tools such as Python, PySpark, Matplotlib, TensorFlow, and PyTorch. * Collaborate with cross-functional teams, including finance, research, software development, and business leaders, to define product requirements and provide analytical support. * Communicate complex technical concepts to non-technical stakeholders, including business leaders, customers, and management teams. * Design and implement A/B experiments to measure the impact of business decisions and optimize outcomes. * Stay up-to-date with industry trends and advancements in machine learning, data science, and analytics, applying this knowledge to drive innovation and improvement. **Essential Qualifications:** * Bachelor's degree in a STEM field, such as computer science, statistics, mathematics, or a related field, or equivalent experience. * Minimum 4 years of experience in data science, machine learning, or a related field, with a strong background in statistical modeling, data analysis, and computational techniques. * Advanced experience in SQL, Python, PySpark, or other programming languages. * Strong understanding of machine learning algorithms, including supervised and unsupervised techniques, and experience with deep learning frameworks such as TensorFlow or PyTorch. * Experience with cloud computing platforms, including Azure and Databricks, and data storage solutions such as Snowflake. * Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams and stakeholders. **Preferred Qualifications:** * Master's or Ph.D. in a STEM field, such as computer science, statistics, mathematics, or a related field. * Experience with IoT and Edge AI, or reinforcement learning. * Experience in the healthcare industry, with a strong understanding of healthcare data and analytics. **Work Environment and Company Culture:** * blithequark is a dynamic and innovative company that values collaboration, creativity, and continuous learning. * Our team is passionate about using data science and machine learning to drive business growth and improve patient outcomes. * We offer a flexible and remote work environment, with opportunities for professional development and growth. * Our company culture is built on a foundation of respect, empathy, and open communication, with a focus on diversity, equity, and inclusion. **Benefits:** * Competitive salary and bonus structure * Comprehensive benefits package, including medical, dental, and vision insurance * Retirement savings plan, including 401(k) matching * Paid time off, including vacation and sick leave * Holidays and paid parental leave * Employee store discount and transportation benefit plan * Opportunities for professional development and growth **How to Apply:** If you are a highly skilled data scientist with a passion for advanced analytics and machine learning, we encourage you to apply for this exciting opportunity. Please submit your resume, cover letter, and any relevant work samples or references to the link below. Apply Job! We look forward to hearing from you and exploring how you can contribute to our team's success! Apply for this job