Experienced Full Stack Data Scientist – Advanced Analytics and Machine Learning
Are you a highly skilled data scientist with a passion for driving business growth through data-driven insights? Do you have a strong background in machine learning, predictive analytics, and data engineering? If so, we invite you to join blithequark as a Senior Data Scientist, where you will play a key role in shaping the future of our organization through advanced analytics and machine learning.
About blithequark
blithequark is a leading healthcare, pharmacy, and retail company with a rich history of caring for communities. With a presence in over 9,000 retail locations across the United States, Puerto Rico, and the U.S. Virgin Islands, we serve nearly 10 million customers every day. Our pharmacists play a vital role in the U.S. healthcare system by providing a wide range of pharmacy and healthcare services, including those that promote equitable access to care for medically underserved populations.
Job Responsibilities
As a Senior Data Scientist at blithequark, you will be responsible for leveraging advanced data science, predictive analytics, and machine learning techniques to drive business growth and improve customer experiences. Your key responsibilities will include:
- Building and deploying machine learning models using technical expertise in data engineering, statistical modeling, and data visualization
- Developing and maintaining large-scale data pipelines and architectures to support advanced analytics and machine learning initiatives
- Collaborating with cross-functional teams, including finance, research, software development, and business leaders, to define product requirements and provide analytical support
- Communicating complex technical concepts and insights to non-technical stakeholders, including business leaders and customers
- Designing and executing A/B experiments to measure the impact of data-driven initiatives
- Staying up-to-date with emerging trends and technologies in data science, machine learning, and artificial intelligence
Essential Qualifications
* Bachelor's degree in a quantitative field, such as mathematics, statistics, computer science, or engineering, or a related field
- At least 4 years of experience in data science, machine learning, or a related field, or a combination of education and experience
- Advanced degree in a quantitative field, such as a Master's or Ph.D. in computer science, statistics, or a related field
- Strong programming skills in languages such as Python, R, or SQL
- Experience with machine learning frameworks, such as scikit-learn, TensorFlow, or PyTorch
- Experience with data engineering tools, such as Apache Spark, Hadoop, or NoSQL databases
- Strong analytical and problem-solving skills, with the ability to communicate complex technical concepts to non-technical stakeholders
Preferred Qualifications
* Ph.D. in a quantitative field, such as computer science, statistics, or a related field
- Experience with cloud-based machine learning platforms, such as AWS SageMaker or Google Cloud AI Platform
- Experience with edge AI and IoT technologies
- Experience with reinforcement learning and other advanced machine learning techniques
- Experience working in a healthcare or pharmaceutical industry
Benefits
* Competitive salary and bonus structure
- Comprehensive benefits package, including medical, dental, and vision insurance
- Retirement savings plan, including 401(k) matching
- Employee stock purchase plan
- Paid time off (PTO) and holidays
- Paid parental leave (PPL)
- Transportation benefit plan
- Employee store discount
- Voluntary life and personal accident insurance
What We Offer
At blithequark, we offer a dynamic and supportive work environment that fosters collaboration, innovation, and growth. Our team is passionate about using data science and machine learning to drive business growth and improve customer experiences. We are committed to providing our employees with the resources and opportunities they need to succeed, including:
- Professional development and training programs
- Mentorship and coaching opportunities
- Collaborative and inclusive work environment
- Recognition and rewards for outstanding performance
- Opportunities for career growth and advancement
How to Apply
If you are a highly skilled data scientist with a passion for driving business growth through data-driven insights, we invite you to apply for this exciting opportunity. Please submit your resume and a cover letter outlining your experience and qualifications for this role. We look forward to hearing from you! Apply Job! Apply for this job