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 U.S. retail pharmacy and healthcare segments, arenaflex is committed to creating more joyful lives through better health. As a Senior Data Scientist at arenaflex, you will be part of a dynamic team that leverages advanced data science, predictive analytics, and machine learning techniques to drive business growth and improve customer experiences.
Job Overview
The Senior Data Scientist role at arenaflex is responsible for applying complex data science, predictive analytics, and machine learning strategies to provide insights and actionable recommendations. You will work closely with cross-functional teams, including finance, researchers, software developers, and business leaders, to define product requirements and provide analytical support. Your expertise in machine learning, statistical modeling, and data analysis will help drive business decisions and optimize operations.
Key Responsibilities
- Build models and systems using technical expertise in machine learning, statistical modeling, risk and decision theory, and other quantitative methods. Innovate by adapting to new modeling techniques and procedures.
- Understand the business context behind large datasets and develop meaningful analytic solutions.
- Apply analytical rigor and statistical techniques to analyze large quantities of data, using advanced statistical methods, including predictive statistical models, customer profiling, segmentation analysis, survey design, analysis, and data mining.
- Program using tech stack Python, PySpark, Matplotlib, TensorFlow, PyTorch, etc.
- Perform machine learning techniques, including supervised and unsupervised algorithms, to build predictive models and prescriptive solutions to support various business use cases.
- Build algorithms like decision trees, regression, XGBoost, K-means, and anomaly detection. Interpretable ML, Bayesian theory, etc.
- Utilize Cloud Computing on Azure/Databricks, querying in Snowflake.
- Utilize software tools and methodologies GitHub, Continuous integration and delivery, agile methodologies.
- Collaborate with finance, researchers, software developers, and business leaders to define product requirements and provide analytical support.
- Communicate verbally and in writing to business clients and management team with diverse levels of technical expertise, explaining systems, as well as sharing insights and recommendations.
Essential Qualifications
To be successful in this role, you should have:
- 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 out of the country).
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 should possess:
- Strong technical skills in machine learning, statistical modeling, and data analysis.
- Excellent communication and interpersonal skills.
- Ability to work in a dynamic environment and adapt to changing priorities.
- Strong problem-solving and analytical skills.
- Ability to convey complex technical concepts to non-technical stakeholders.
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 opportunities to:
- Work on complex and challenging projects that drive business impact.
- Collaborate with cross-functional teams and develop strong relationships with stakeholders.
- Develop and refine your technical skills in machine learning, statistical modeling, and data analysis.
- Participate in training and development programs to enhance your skills and knowledge.
Work Environment and Company Culture
arenaflex is a dynamic and inclusive workplace that values diversity, equity, and inclusion. We offer a collaborative and supportive environment that encourages innovation, creativity, and growth. Our company culture is built on the principles of:
- Respect and empathy for our customers, employees, and communities.
- A commitment to excellence and continuous improvement.
- A focus on teamwork, collaboration, and open communication.
Compensation, Perks, and Benefits
arenaflex offers a competitive compensation package, including:
- Company-Paid Life Insurance.
- Medical, Prescription Drugs, Dental, and Vision benefits.
- Retirement Savings Plan – 401(k).
- Employee Stock Purchase Plan.
- Paid Time Off (PTO) and 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 challenging and rewarding role, we encourage you to apply for this opportunity at arenaflex. With a strong commitment to innovation, customer satisfaction, and employee growth, we offer a dynamic and supportive work environment that will help you thrive in your career. Apply now to join our team and contribute to the success of arenaflex!
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