Experienced Senior Data Scientist – Remote Opportunity for Advanced Data Analysis and Predictive Modeling Expertise at arenaflex
Introduction to arenaflex and the Role
arenaflex is a leading organization in the healthcare and retail industry, dedicated to creating more satisfied lives through better health. With a rich history of caring for communities, arenaflex operates nearly 9,000 retail locations across the United States, Puerto Rico, and the U.S. Virgin Islands. As a Senior Data Scientist at arenaflex, you will play a vital role in driving business growth and informed decision-making through advanced data analysis, predictive modeling, and machine learning techniques.
Job Responsibilities
As a Senior Data Scientist at arenaflex, your primary 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 to stay ahead of the curve
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 a tech stack that includes Python, PySpark, Matplotlib, TensorFlow, PyTorch, and other relevant tools
Performing machine learning techniques, including supervised and unsupervised algorithms, to build predictive models and prescriptive solutions that support various business use cases
Building algorithms such as decision trees, regression, XGBoost, K-means, and anomaly detection, as well as utilizing interpretable ML, Bayesian theory, and other relevant techniques
Utilizing cloud computing on Azure/Databricks, querying in Snowflake, and leveraging software tools and methodologies such as GitHub, continuous integration and delivery, and 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 teams with diverse levels of technical expertise, educating them about systems and sharing insights and recommendations
Essential Qualifications
To be successful in this role, you will need:
A Bachelor's degree and a minimum of 4 years of experience in data science, machine learning, quantitative, or computational capabilities, or a High School/GED and a minimum of 7 years of experience in these fields
An M.S. in STEM, computer science, data systems, physics, mathematics, statistics, data science, machine learning, or a similar field
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 operating 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
Willingness to travel up to 10% of the time for business purposes (within the country and internationally)
Preferred Qualifications
While not required, the following qualifications are preferred:
A Ph.D. in STEM, computer science, data systems, physics, mathematics, statistics, data science, machine learning, or a similar field
Experience working with IoT and Edge AI
Experience in Reinforcement Learning
Experience in Healthcare
Skills and Competencies
To succeed in this role, you will need to possess the following skills and competencies:
Strong technical skills in machine learning, statistical modeling, and data analysis
Excellent communication and interpersonal skills
Ability to work effectively in a team environment and collaborate with cross-functional teams
Strong problem-solving and analytical skills
Ability to adapt to changing priorities and deadlines
Strong business acumen and understanding of the healthcare and retail industry
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 to enhance your technical skills and knowledge
Opportunities to work on complex and challenging projects that drive business growth and innovation
A collaborative and dynamic work environment that fosters creativity and innovation
A culture that values diversity, equity, and inclusion, and provides opportunities for professional growth and advancement
Work Environment and Company Culture
At arenaflex, we pride ourselves on our positive and inclusive work environment. Our company culture is built on the following values:
A commitment to creating a diverse and inclusive workplace
A focus on innovation and creativity
A culture of collaboration and teamwork
A dedication to delivering exceptional customer experiences
Compensation, Perks, and Benefits
As a Senior Data Scientist at arenaflex, you can expect a competitive salary range of $30-45 per hour, as well as a comprehensive benefits package that includes:
Company-paid life insurance
Medical, prescription drugs, dental, and vision coverage
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 and 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 exciting opportunity at arenaflex. As a Senior Data Scientist, you will have the chance to work on complex and innovative projects, collaborate with cross-functional teams, and contribute to the growth and success of our organization. Don't miss out on this opportunity to join our dynamic team and take your career to the next level. Apply now and become a part of the arenaflex team!
Apply Now
arenaflex is a leading organization in the healthcare and retail industry, dedicated to creating more satisfied lives through better health. With a rich history of caring for communities, arenaflex operates nearly 9,000 retail locations across the United States, Puerto Rico, and the U.S. Virgin Islands. As a Senior Data Scientist at arenaflex, you will play a vital role in driving business growth and informed decision-making through advanced data analysis, predictive modeling, and machine learning techniques.
Job Responsibilities
As a Senior Data Scientist at arenaflex, your primary 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 to stay ahead of the curve
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 a tech stack that includes Python, PySpark, Matplotlib, TensorFlow, PyTorch, and other relevant tools
Performing machine learning techniques, including supervised and unsupervised algorithms, to build predictive models and prescriptive solutions that support various business use cases
Building algorithms such as decision trees, regression, XGBoost, K-means, and anomaly detection, as well as utilizing interpretable ML, Bayesian theory, and other relevant techniques
Utilizing cloud computing on Azure/Databricks, querying in Snowflake, and leveraging software tools and methodologies such as GitHub, continuous integration and delivery, and 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 teams with diverse levels of technical expertise, educating them about systems and sharing insights and recommendations
Essential Qualifications
To be successful in this role, you will need:
A Bachelor's degree and a minimum of 4 years of experience in data science, machine learning, quantitative, or computational capabilities, or a High School/GED and a minimum of 7 years of experience in these fields
An M.S. in STEM, computer science, data systems, physics, mathematics, statistics, data science, machine learning, or a similar field
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 operating 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
Willingness to travel up to 10% of the time for business purposes (within the country and internationally)
Preferred Qualifications
While not required, the following qualifications are preferred:
A Ph.D. in STEM, computer science, data systems, physics, mathematics, statistics, data science, machine learning, or a similar field
Experience working with IoT and Edge AI
Experience in Reinforcement Learning
Experience in Healthcare
Skills and Competencies
To succeed in this role, you will need to possess the following skills and competencies:
Strong technical skills in machine learning, statistical modeling, and data analysis
Excellent communication and interpersonal skills
Ability to work effectively in a team environment and collaborate with cross-functional teams
Strong problem-solving and analytical skills
Ability to adapt to changing priorities and deadlines
Strong business acumen and understanding of the healthcare and retail industry
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 to enhance your technical skills and knowledge
Opportunities to work on complex and challenging projects that drive business growth and innovation
A collaborative and dynamic work environment that fosters creativity and innovation
A culture that values diversity, equity, and inclusion, and provides opportunities for professional growth and advancement
Work Environment and Company Culture
At arenaflex, we pride ourselves on our positive and inclusive work environment. Our company culture is built on the following values:
A commitment to creating a diverse and inclusive workplace
A focus on innovation and creativity
A culture of collaboration and teamwork
A dedication to delivering exceptional customer experiences
Compensation, Perks, and Benefits
As a Senior Data Scientist at arenaflex, you can expect a competitive salary range of $30-45 per hour, as well as a comprehensive benefits package that includes:
Company-paid life insurance
Medical, prescription drugs, dental, and vision coverage
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 and 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 exciting opportunity at arenaflex. As a Senior Data Scientist, you will have the chance to work on complex and innovative projects, collaborate with cross-functional teams, and contribute to the growth and success of our organization. Don't miss out on this opportunity to join our dynamic team and take your career to the next level. Apply now and become a part of the arenaflex team!
Apply Now