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Experienced Full Stack Data Scientist – Web & Cloud Application Development at arenaflex

100% Remote Full-time Open now

Join arenaflex's innovative team of data scientists and contribute to shaping the future of healthcare and retail! As a Senior Data Scientist at arenaflex, you will play a pivotal role in leveraging advanced data science, predictive analytics, and machine learning techniques to drive business growth and improve customer experiences. With a strong focus on innovation and collaboration, our team is dedicated to creating cutting-edge solutions that transform the retail and healthcare industries.

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 have established ourselves as a trusted partner in the healthcare and retail sectors. Our mission is to create more joyful lives through better health, and we are committed to delivering high-quality services and products to our customers.

Job Responsibilities

As a Senior Data Scientist at arenaflex, you will be responsible for:

  • Building and deploying machine learning models using technical expertise in data science, statistical modeling, and data engineering.
  • Developing and implementing predictive analytics and data visualization solutions to drive business insights and decision-making.
  • 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 clients and management teams.
  • Designing and implementing A/B experiments to measure the impact of data-driven decisions.
  • Utilizing cloud computing platforms, such as Azure and Databricks, to develop and deploy scalable data solutions.
  • Staying up-to-date with emerging trends and technologies in data science and machine learning, and adapting our solutions to meet evolving business needs.

Key Skills and Qualifications

* Bachelor's degree in a quantitative field, such as computer science, statistics, mathematics, or a related field.

  • Minimum 4 years of experience in data science, machine learning, or a related field, or equivalent experience.
  • Advanced degree in a quantitative field, such as a Master's or Ph.D. in computer science, statistics, mathematics, or a related field.
  • Strong programming skills in languages such as Python, PySpark, and SQL.
  • Experience with machine learning frameworks, such as TensorFlow and PyTorch.
  • Familiarity with cloud computing platforms, such as Azure and Databricks.
  • Strong analytical and problem-solving skills, with the ability to communicate complex technical concepts to non-technical stakeholders.
  • Experience with data visualization tools, such as Matplotlib and Seaborn.
  • Familiarity with agile development methodologies and version control systems, such as GitHub.

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 technologies.
  • Experience in Reinforcement Learning and Healthcare applications.
  • Strong leadership and management skills, with experience in direct management, indirect management, and team leadership.

Benefits

* Competitive salary range of $30-45/hour.

  • Comprehensive benefits package, including company-paid life insurance, medical, prescription drugs, dental, and vision.
  • 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.

How to Apply

If you are a motivated and innovative data scientist looking to join a dynamic team and contribute to shaping the future of healthcare and retail, please apply to this exciting opportunity at arenaflex. Apply for this job

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