Experienced Senior Data Scientist – Advanced Data Analytics, Predictive Modeling, and Machine Learning Expertise for Strategic Business Growth 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, 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 be successful 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 work effectively with cross-functional teams and communicate technical concepts to non-technical stakeholders
Ability to work in a dynamic environment and prioritize multiple projects and tasks
Strong business acumen and understanding of the healthcare and retail industries
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:
Opportunities for professional development and career advancement
Training and education programs to enhance your technical skills and knowledge
Collaboration with experienced professionals and thought leaders in the industry
Opportunities to work on high-impact projects and contribute to the growth and success of the company
Work Environment and Company Culture
At arenaflex, we pride ourselves on our positive and inclusive work environment. Our company culture is built on the values of:
Respect and empathy for our customers, patients, and employees
A commitment to diversity, equity, and inclusion
A focus on innovation and continuous improvement
A culture of collaboration and teamwork
Compensation, Perks, and Benefits
As a Senior Data Scientist at arenaflex, you will be eligible for a competitive salary and benefits package, 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. As a Senior Data Scientist at arenaflex, you will have the chance to work on high-impact projects, collaborate with experienced professionals, and contribute to the growth and success of the company. Apply now to join our team and take your career to the next level!
Apply Now
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 be successful 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 work effectively with cross-functional teams and communicate technical concepts to non-technical stakeholders
Ability to work in a dynamic environment and prioritize multiple projects and tasks
Strong business acumen and understanding of the healthcare and retail industries
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:
Opportunities for professional development and career advancement
Training and education programs to enhance your technical skills and knowledge
Collaboration with experienced professionals and thought leaders in the industry
Opportunities to work on high-impact projects and contribute to the growth and success of the company
Work Environment and Company Culture
At arenaflex, we pride ourselves on our positive and inclusive work environment. Our company culture is built on the values of:
Respect and empathy for our customers, patients, and employees
A commitment to diversity, equity, and inclusion
A focus on innovation and continuous improvement
A culture of collaboration and teamwork
Compensation, Perks, and Benefits
As a Senior Data Scientist at arenaflex, you will be eligible for a competitive salary and benefits package, 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. As a Senior Data Scientist at arenaflex, you will have the chance to work on high-impact projects, collaborate with experienced professionals, and contribute to the growth and success of the company. Apply now to join our team and take your career to the next level!
Apply Now