Experienced Full Stack Data Scientist – Web & Cloud Application Development
At arenaflex, we're on a mission to revolutionize the way we approach data-driven decision-making. As a Senior Data Scientist, you'll play a critical role in leveraging cutting-edge data science, predictive analytics, and machine learning techniques to drive business growth and innovation. If you're passionate about working with complex data sets, developing predictive models, and collaborating with cross-functional teams, we want to hear from you.
About arenaflex
arenaflex is a leading healthcare and retail company with a rich history of caring for communities. With over 170 years of experience, we've established ourselves as a trusted partner in the healthcare industry, providing a wide range of pharmacy and healthcare services to millions of customers every day. Our commitment to innovation and customer satisfaction has earned us a reputation as a leader in the industry.
Job Responsibilities
As a Senior Data Scientist at arenaflex, you'll be responsible for:
- Building and deploying complex machine learning models using technical expertise in data science, predictive analytics, and data engineering.
- Developing and implementing data-driven solutions to drive business growth and innovation.
- 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 to non-technical stakeholders, including business leaders and customers.
- Staying up-to-date with the latest advancements in data science, machine learning, and cloud computing to drive innovation and improvement.
- Working with large-scale, complex datasets to create and optimize machine learning models, predictive forecasting, and optimization models.
- Developing and deploying algorithms using choice trees, regression, XGBoost, K means, and anomaly detection.
- Utilizing cloud computing on Azure/Databricks, querying in Snowflake, and working with software tools and methodologies such as GitHub, Continuous Integration and Delivery, and Agile Methodologies.
- Designing and implementing A/B experiments to drive business growth and improvement.
Essential Qualifications
* Bachelor's degree in a quantitative field, such as computer science, statistics, mathematics, or a related field.
- Minimum of 4 years of experience in data science, machine learning, or a related field.
- Advanced degree in a quantitative field, such as a Master's or Ph.D. in computer science, statistics, mathematics, or a related field.
- At least 4 years of experience working with large-scale, complex datasets to create and optimize machine learning models, predictive forecasting, and optimization models.
- Advanced experience in SQL, Python, PySpark, or other programming languages.
- Experience with supervised and unsupervised machine learning techniques, including linear and logistic regression, time series modeling, generalized linear models, choice trees, and support vector machines.
- Experience with cloud computing, including Azure/Databricks, Snowflake, and cloud data stores.
- Experience with data pipelines, data engineering, and data architecture.
- Strong communication and collaboration skills, with the ability to work with cross-functional teams and communicate complex technical concepts to non-technical stakeholders.
Preferred Qualifications
* Ph.D. in a quantitative field, such as computer science, statistics, mathematics, or a related field.
- Experience working with IoT and Edge AI.
- Experience in reinforcement learning.
- Experience in healthcare or a related field.
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.
- Transportation benefit plan.
- Employee store discount.
- Voluntary life and personal accident insurance.
Work Environment and Culture
arenaflex is committed to creating a diverse and inclusive work environment that fosters collaboration, innovation, and growth. Our team is passionate about using data science and machine learning to drive business growth and improvement. We're looking for talented individuals who share our vision and are passionate about working with complex data sets to drive business outcomes.
How to Apply
If you're passionate about data science, machine learning, and innovation, we want to hear from you. Apply now to join our team of talented data scientists and engineers. Apply Job! Apply for this job