Experienced Senior Data Scientist for Advanced Data Analysis and Predictive Modeling – Remote Opportunity at arenaflex

Introduction to arenaflex and the Industry

arenaflex is a leading integrated healthcare, pharmacy, and retail company with a 170-year history of caring for communities. Our mission is to create more joyful lives through better health. As a Senior Data Scientist at arenaflex, you will play a critical role in driving business growth and improvement through advanced data analysis, predictive modeling, and machine learning techniques. The healthcare industry is rapidly evolving, and data science is at the forefront of this transformation. With the increasing availability of large datasets and advancements in computational power, data scientists like yourself have the opportunity to make a significant impact on business outcomes and patient care.

Job Summary

We are seeking an experienced Senior Data Scientist to join our team at arenaflex. As a Senior Data Scientist, you will be responsible for applying advanced data science, predictive analytics, and machine learning techniques to provide insights and actionable recommendations to stakeholders. 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 improve patient outcomes.

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 such as predictive statistical models, customer profiling, segmentation analysis, survey design, analysis, and data mining. Build recommendations and optimization algorithmic designs, perform data retrieval, complexity analysis, and scientific computing.
• Program using tech stack Python, PySpark, Matplotlib, TensorFlow, PyTorch, etc.
• Perform machine learning techniques, and 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, educating them about our systems, as well as sharing insights and recommendations.

About arenaflex

arenaflex is a community health destination serving 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 drive equitable access to care for the nation's medically underserved populations. To best meet the needs of customers and patients, arenaflex provides a true omnichannel experience, with fully integrated physical and digital platforms supported by state-of-the-art technology to deliver high-quality services and products in communities nationwide.

Essential Qualifications

• 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 assist 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

• 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.

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 projects, collaborate with cross-functional teams, and develop your skills in machine learning, statistical modeling, and data analysis. You will also have access to training and development programs, mentorship, and career advancement opportunities.

Work Environment and Company Culture

arenaflex is a dynamic and innovative company that values diversity, equity, and inclusion. We are committed to creating a work environment that is inclusive, respectful, and supportive of all employees. Our company culture is built on a foundation of integrity, transparency, and accountability, and we strive to make a positive impact on the communities we serve.

Compensation, Perks, and Benefits

arenaflex offers a competitive compensation package, including a salary range of $120,000 - $160,000 per year, depending on experience. We also offer 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 challenging and rewarding role, we encourage you to apply for this opportunity at arenaflex. As a Senior Data Scientist, you will have the chance to work on complex projects, develop your skills, and make a positive impact on the healthcare industry. Don't miss out on this opportunity to join our team and contribute to the success of arenaflex. Apply now and take the first step towards a rewarding and challenging career as a Senior Data Scientist.