Introduction to arenaflex and the Industry
arenaflex is a leading integrated healthcare, pharmacy, and retail company with a rich history of caring for communities. With a strong presence in the industry, we are committed to creating more satisfied lives through better health. Our mission is to provide high-quality services and products that meet the evolving needs of our customers and patients. As a Senior Data Scientist at arenaflex, you will play a critical role in driving business growth and improvement through advanced data analytics, predictive modeling, and machine learning expertise.
Job Responsibilities
As a Senior Data Scientist at arenaflex, you will be responsible for applying complex data science, predictive analytics, and machine learning techniques to provide insights and actionable recommendations. Your key responsibilities will include:
- Building models and tools using technical expertise in machine learning, statistical modeling, risk and decision theory, and other quantitative methods
- Innovating by adapting to new modeling techniques and procedures
- Understanding the business context behind large datasets and developing meaningful analytic solutions
- Applying analytical rigor and statistical techniques to analyze large quantities of data, using advanced statistical methods such as predictive statistical models, customer profiling, segmentation analysis, survey design, analysis, and data mining
- Programming using tech stack Python, PySpark, Matplotlib, TensorFlow, PyTorch, etc.
- Performing machine learning techniques, and supervised and unsupervised algorithms to build predictive models and prescriptive solutions to support various business use cases
- Building algorithms like decision trees, regression, XGBoost, K means, and anomaly detection
- Utilizing Cloud Computing on Azure/Databricks, querying in Snowflake
- Utilizing software tools and methodologies GitHub, Continuous integration and delivery, agile methodologies
- Collaborating with finance, researchers, software developers, and business leaders to define product requirements and provide analytical support
- Communicating verbally and in writing to business clients and management team with diverse levels of technical expertise, educating them about our systems, as well as sharing insights and recommendations
Essential Qualifications
To be successful in this role, you will need:
- Bachelor's degree and a minimum of 4 years of experience in data science, machine learning, quantitative or computational capabilities OR High School/GED and a minimum of 7 years of experience in data science, machine learning, quantitative or computational capabilities
- M.S. in STEM, PC science, data systems, physics, mathematics, statistics, data science, machine learning, or similar
- At least 4 years of experience working with large-scale, complex datasets to create/optimize machine learning, predictive, forecasting, and/or optimization models
- Advanced experience in SQL, Python, PySPark or other languages
- Advanced degree skill in exploratory data analysis, feature engineering and selection, detecting patterns, learning distributions, visualizing results, and extracting insights to support businesses in making informed data-driven decisions
- Experience using decision trees, and building classifiers
- Experience with supervised learning techniques (linear and logistic regression, time series modeling, generalized linear models, decision trees, support vector machines, etc.) and unsupervised learning techniques (K means, hierarchical clustering, association rules, principal components)
- Experience with Cloud ML systems, distributed computing, data pipelines, cloud data stores and serving engines
- Experience designing and analyzing A/B experiments
- Advanced degree skill in conveying rigorous technical standards and issues to non-experts
- Experience working in dynamic environments and working with ambiguity, prioritizing needs, and delivering results
- Experience effectively communicating technical solutions and advocating to research scientists, engineering teams and business audiences
- At least 2 years of experience contributing to financial decisions in the workplace
- At least 2 years of direct management, indirect management and/or cross-functional team management
- Willing to travel up to/as a minimum of 10% of the time for business purposes (within the country and abroad)
Preferred Qualifications
While not required, the following qualifications are preferred:
- Ph.D. in STEM, PC science, data systems, physics, mathematics, statistics, data science, machine learning, or similar
- Experience working with IoT, and Edge AI is a plus
- Experience in Reinforcement Learning is a plus
- Experience in Healthcare is a plus
Skills and Competencies
To succeed in this role, you will need to possess the following skills and competencies:
- Strong technical skills in data science, machine learning, and programming languages such as Python, PySpark, and SQL
- Excellent analytical and problem-solving skills, with the ability to extract insights from complex data sets
- Strong communication and interpersonal skills, with the ability to effectively communicate technical solutions to non-technical stakeholders
- Ability to work in a dynamic environment, prioritizing needs and delivering results in a fast-paced setting
- Strong collaboration and teamwork skills, with the ability to work with cross-functional teams to drive business outcomes
Career Growth Opportunities and Learning Benefits
At arenaflex, we are committed to the growth and development of our employees. As a Senior Data Scientist, you will have access to a range of career growth opportunities and learning benefits, including:
- Professional development opportunities, such as training and education programs, to help you advance your skills and knowledge
- Opportunities to work on high-impact projects, driving business outcomes and making a meaningful contribution to the organization
- Collaboration with experienced professionals, providing mentorship and guidance to help you grow in your role
- Access to cutting-edge technologies and tools, allowing you to stay up-to-date with the latest advancements in data science and machine learning
Work Environment and Company Culture
At arenaflex, we pride ourselves on our positive and inclusive work environment. Our company culture is built on a foundation of respect, empathy, and collaboration, and we are committed to creating a workplace where everyone feels valued and supported. As a Senior Data Scientist, you will be part of a dynamic and innovative team, working together to drive business outcomes and make a meaningful contribution to the organization.
Compensation, Perks, and Benefits
At arenaflex, we offer a competitive compensation package, including a salary range of $30-45 per hour. In addition to your salary, you will also be eligible for a range of perks and benefits, including:
- Company-Paid Life Insurance
- Medical, Prescription Drugs, Dental and Vision
- Retirement Savings Plan – 401(k)
- Employee Stock Purchase Plan
- Paid Time Off (PTO)
- Holidays
- Paid Parental Leave (PPL)
- Transportation Benefit Plan
- Employee Store Discount
- Voluntary Life & Personal Accident Insurance
Conclusion
If you are a motivated and experienced data scientist, looking for a new challenge and opportunity to make a meaningful contribution to a leading organization, we encourage you to apply for this exciting role at arenaflex. With a competitive compensation package, a positive and inclusive work environment, and opportunities for career growth and development, this is an opportunity not to be missed. Apply now to join our team of innovative and talented professionals, and help us drive business outcomes and make a difference in the lives of our customers and patients.
Apply Now