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, arenaflex is committed to creating more satisfied lives through better health. As a Senior Data Scientist at arenaflex, you will play a critical role in driving business growth and informed decision-making 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 strategies 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 collaboration skills, with the ability to effectively communicate technical solutions to non-technical stakeholders
- Ability to work in a dynamic environment and prioritize needs, with a strong focus on delivering results
- Strong business acumen, with the ability to understand the business context and develop meaningful analytic solutions
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:
- Ongoing training and development opportunities, including workshops, conferences, and online courses
- Mentorship and coaching from experienced data scientists and leaders
- Opportunities to work on high-impact projects and collaborate with cross-functional teams
- A culture that encourages innovation, experimentation, and learning from failure
Work Environment and Company Culture
At arenaflex, we pride ourselves on our collaborative and dynamic work environment. As a Senior Data Scientist, you will be part of a team that values:
- Innovation and experimentation, with a focus on driving business growth and improvement
- Collaboration and teamwork, with a strong emphasis on cross-functional collaboration
- Continuous learning and development, with a focus on staying up-to-date with the latest technologies and trends
- Diversity and inclusion, with a commitment to creating a workplace that is welcoming and inclusive to all
Compensation, Perks, and Benefits
At arenaflex, we offer a competitive compensation package, including:
- Salary: $30-45/Hour
- 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 to join a dynamic and innovative team, we encourage you to apply for this exciting opportunity at arenaflex. With a strong focus on career growth and development, a collaborative and dynamic work environment, and a competitive compensation package, this is an opportunity not to be missed. Apply now to join our team and contribute to the success of arenaflex!
Apply Now