Experienced Senior Data Scientist – Advanced Data Analytics, Machine Learning, and Cloud Computing Expertise for Strategic Business Insights and Decision Making at arenaflex

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, machine learning, and cloud computing 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:

• Technical skills: Advanced expertise in data science, machine learning, and cloud computing
• Business acumen: Understanding of business operations and ability to provide insights and recommendations that drive business growth and improvement
• Communication skills: Ability to communicate complex technical concepts to non-technical stakeholders
• Collaboration skills: Ability to work effectively with cross-functional teams, including finance, researchers, software developers, and business leaders
• Problem-solving skills: Ability to analyze complex problems and develop creative solutions
• Adaptability: Ability to adapt to changing business needs and priorities

Career Growth Opportunities and Learning Benefits

At arenaflex, we are committed to providing our employees with opportunities for growth and development. As a Senior Data Scientist, you will have access to:

• Professional development opportunities: Training and development programs to enhance your technical and business skills
• Mentorship: Opportunities to work with experienced professionals who can provide guidance and support
• Cross-functional collaboration: Opportunities to work with different teams and functions to develop a deeper understanding of the business
• Innovation: Opportunities to develop and implement new ideas and solutions that drive business growth and improvement

Work Environment and Company Culture

At arenaflex, we are committed to creating a positive and inclusive work environment that supports the well-being and success of our employees. Our company culture is built on the following values:

• Respect: We value and respect each other's differences and perspectives
• Integrity: We operate with integrity and transparency in all our interactions
• Collaboration: We work together to achieve common goals and objectives
• Innovation: We encourage innovation and creativity in all aspects of our work
• Customer focus: We are committed to delivering high-quality services and products that meet the evolving needs of our customers and patients

Compensation, Perks, and Benefits

At arenaflex, we offer a competitive compensation package that includes:

• Salary: $30-45/hour
• Benefits: Company-paid life insurance, medical, prescription drugs, dental and vision, retirement savings plan, employee stock purchase plan, paid time off, holidays, paid parental leave, transportation benefit plan, employee store discount, voluntary life and personal accident insurance
• Perks: Opportunities for professional development, mentorship, and innovation

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 opportunity to work with a talented team of professionals who are passionate about using data science and machine learning to drive business growth and improvement. Apply now to join our team and contribute to the success of arenaflex!