Senior Data Scientist – Advanced Analytics & Machine Learning for Digital Media Exchange Platform
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About arenaflex
Welcome to arenaflex, where we believe that transforming healthcare means carrying our heart to every moment of your wellness journey. As a Fortune 4 healthcare innovation company, arenaflex is dedicated to delivering enhanced human-driven healthcare for a rapidly changing world. Our mission goes beyond simply providing services—it's about how we deliver them that truly matters. We are committed to making healthcare more personal, more convenient, and more affordable for millions of people across the nation.
At arenaflex, our Heart At Work Behaviors drive everything we do. We empower every team member to feel invested in the work they do, knowing that their contributions are changing lives and accelerating our ability to deliver solutions that make a real difference. Join us in our mission to revolutionize healthcare through data-driven innovation and personalized experiences.
About the Role
Are you passionate about leveraging advanced analytics, machine learning, and experimentation to drive measurable business outcomes? We are looking for a talented Senior Data Scientist to join our Enterprise Digital Analytics (EDA) team within the arenaflex Media Exchange division. This is a unique opportunity to apply advanced analytics, causal inference, and strategic problem-solving to grow digitally enabled products at one of the most recognized healthcare brands in the industry.
The arenaflex Media Exchange (formerly known as CMX) is committed to delivering quantifiable results for our providers, advertisers, stores, general managers, brand sponsors, and agencies. Our full-channel advertising solutions leverage arenaflex's extensive online and offline data, broad reach, and customer insights to deliver measurable outcomes. With a range of flexible pricing and buying models, including self-service options, these solutions help businesses build brand awareness, engage with arenaflex consumers, and convert customers into loyal buyers.
As part of our team supporting enterprise products (arenaflex Media Exchange and arenaflex.com/mobile application), you will be exposed to all specialty units within arenaflex. You'll partner closely with colleagues to understand their challenges and develop data-driven analysis solutions that drive real business impact.
Key Responsibilities
Design, develop, and deploy advanced machine learning models for both classification and regression problems, using cutting-edge AI techniques to solve complex business challenges
Analyze customer journeys to identify opportunities that drive increased adoption, engagement, retention, and conversion across digital platforms
Develop personalization capabilities using artificial intelligence to target specific audiences for relevant outreach campaigns
Design, execute, and optimize online A/B tests to measure impact and improve product performance
Apply causal inference methodologies and Marketing Mix Modeling (MMM) to optimize tests where traditional A/B testing is not feasible or appropriate
Create and implement algorithms and statistical predictive models to evaluate various scenarios and potential future outcomes
Conduct investigations of structured and unstructured data to solve diverse and complex business problems using advanced statistical techniques and mathematical analyses
Collaborate with cross-functional teams to understand their business challenges and goals, developing predictive modeling, statistical analysis, and performance metrics
Prepare data for analysis, working closely with data engineering teams to create modeling datasets, evaluate data quality, and perform feature engineering
Create and deliver presentations to existing and prospective stakeholders on analysis findings and strategic recommendations
Communicate complex technical concepts effectively to technical, non-technical, and senior leadership audiences
Utilize strong programming skills in Python and SQL to explore, analyze, and interpret large volumes of data in various formats
Leverage advanced analytics tools and languages to analyze massive datasets from multiple data sources
Mentor junior team members and contribute to the continuous improvement of analytical methodologies
Required Qualifications
Experience: Minimum 3 years of experience applying modern machine learning techniques to build predictive models for both classification and regression problems
Technical Skills: 3+ years of experience using Python and SQL for data analysis and modeling
Business Communication: 2+ years of experience extracting meaningful insights from analysis and interpreting results of complex models to present to business audiences, including technical, non-technical, and senior leadership stakeholders
Data Engineering: 2+ years of experience preparing data for analysis, collaborating with data engineering teams to create modeling datasets, evaluating data completeness and quality, and performing feature engineering
Advanced Analytics: 2+ years of experience applying knowledge of advanced analytics tools and languages to analyze large datasets from various data sources
Experimental Design: 2+ years of experience in experimental design and managed/solo machine learning approaches
Education: Bachelor's degree in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline
Preferred Qualifications
Experience designing and implementing online A/B testing experiments at scale
Demonstrated ability to communicate technical concepts and recommendations effectively to diverse audiences
Strong ability to communicate confidently and clearly with colleagues, project teams, and senior management
Proactive problem-solving skills with the ability to anticipate and prevent issues before they occur
Proficiency in multiple areas of mathematical analysis techniques, machine learning, statistical analysis, experimental design, and predictive modeling, with deep specialization in certain areas
Advanced degree (Master's or PhD) in a related discipline
Experience with causal inference methodologies and Marketing Mix Modeling
Background in healthcare, retail, or digital advertising analytics
Work Environment & Culture
This position follows a hybrid work plan, located primarily in our California office with the flexibility to work remotely part of the week. You will be expected to commute to the office 3 days per week on a rotating schedule, allowing for collaborative in-person sessions while maintaining work-life balance.
At arenaflex, we foster a culture of innovation, collaboration, and continuous learning. You'll work alongside talented professionals across various specialty units, gaining exposure to the full breadth of our healthcare ecosystem. Our inclusive environment encourages diverse perspectives and creative problem-solving, ensuring that every team member feels valued and empowered to contribute their best work.
Career Growth Opportunities
Joining the arenaflex Enterprise Digital Analytics team offers exceptional opportunities for professional development and career advancement. You'll gain experience working with massive datasets and cutting-edge technologies, positioning yourself for leadership roles in data science and analytics. Our commitment to internal mobility means that top performers have pathways to advance within the organization, whether in technical tracks or people-management positions.
We invest heavily in our employees' growth through mentorship programs, tuition reimbursement, and access to exclusive learning resources. You'll have the opportunity to attend industry conferences, participate in hackathons, and collaborate on innovative projects that shape the future of healthcare technology.
Compensation & Benefits
We recognize that our people are our greatest asset, which is why we offer competitive compensation and comprehensive benefits that support both your professional and personal well-being.
Compensation:
The typical salary range for this position is $106,605.00 - $206,000.00 annually
Actual base compensation will depend on factors including experience, education, geography, and other relevant considerations
Eligible for arenaflex bonus, commission, or short-term incentive programs in addition to base salary
Benefits Package:
Comprehensive medical, dental, and vision coverage for you and your family
401(k) retirement savings plan with company match
Employee Stock Purchase Plan (ESPP) available for qualified employees
Fully paid term life insurance plan
Short-term and long-term disability benefits
Wellness programs and employee assistance resources
Education assistance and free development courses
Exclusive arenaflex store discounts and partner perk programs
PTO (Paid Time Off) or vacation pay, plus paid holidays throughout the year
Sick leave and other time off consistent with applicable state laws
Join Our Team
If you're ready to make an impact in healthcare through data-driven innovation, we invite you to apply for this exciting opportunity. At arenaflex, you'll find more than just a job—you'll discover a career where your contributions matter and your growth is prioritized.
We are committed to hiring, recruiting, developing, advancing, and retaining individuals with disabilities. As such, we provide equal access to the benefits and privileges of employment, including reasonable accommodations to perform essential job functions. If you require accommodation, please contact our HR team.
arenaflex requires certain employees to be fully vaccinated against COVID-19 (including any booster shots if required), where appropriate under the law, unless approved for a reasonable accommodation based on disability, illness, religious belief, or other legally recognized reasons.
Ready to bring your heart to work? Apply today and join the arenaflex family!
About arenaflex
Welcome to arenaflex, where we believe that transforming healthcare means carrying our heart to every moment of your wellness journey. As a Fortune 4 healthcare innovation company, arenaflex is dedicated to delivering enhanced human-driven healthcare for a rapidly changing world. Our mission goes beyond simply providing services—it's about how we deliver them that truly matters. We are committed to making healthcare more personal, more convenient, and more affordable for millions of people across the nation.
At arenaflex, our Heart At Work Behaviors drive everything we do. We empower every team member to feel invested in the work they do, knowing that their contributions are changing lives and accelerating our ability to deliver solutions that make a real difference. Join us in our mission to revolutionize healthcare through data-driven innovation and personalized experiences.
About the Role
Are you passionate about leveraging advanced analytics, machine learning, and experimentation to drive measurable business outcomes? We are looking for a talented Senior Data Scientist to join our Enterprise Digital Analytics (EDA) team within the arenaflex Media Exchange division. This is a unique opportunity to apply advanced analytics, causal inference, and strategic problem-solving to grow digitally enabled products at one of the most recognized healthcare brands in the industry.
The arenaflex Media Exchange (formerly known as CMX) is committed to delivering quantifiable results for our providers, advertisers, stores, general managers, brand sponsors, and agencies. Our full-channel advertising solutions leverage arenaflex's extensive online and offline data, broad reach, and customer insights to deliver measurable outcomes. With a range of flexible pricing and buying models, including self-service options, these solutions help businesses build brand awareness, engage with arenaflex consumers, and convert customers into loyal buyers.
As part of our team supporting enterprise products (arenaflex Media Exchange and arenaflex.com/mobile application), you will be exposed to all specialty units within arenaflex. You'll partner closely with colleagues to understand their challenges and develop data-driven analysis solutions that drive real business impact.
Key Responsibilities
Design, develop, and deploy advanced machine learning models for both classification and regression problems, using cutting-edge AI techniques to solve complex business challenges
Analyze customer journeys to identify opportunities that drive increased adoption, engagement, retention, and conversion across digital platforms
Develop personalization capabilities using artificial intelligence to target specific audiences for relevant outreach campaigns
Design, execute, and optimize online A/B tests to measure impact and improve product performance
Apply causal inference methodologies and Marketing Mix Modeling (MMM) to optimize tests where traditional A/B testing is not feasible or appropriate
Create and implement algorithms and statistical predictive models to evaluate various scenarios and potential future outcomes
Conduct investigations of structured and unstructured data to solve diverse and complex business problems using advanced statistical techniques and mathematical analyses
Collaborate with cross-functional teams to understand their business challenges and goals, developing predictive modeling, statistical analysis, and performance metrics
Prepare data for analysis, working closely with data engineering teams to create modeling datasets, evaluate data quality, and perform feature engineering
Create and deliver presentations to existing and prospective stakeholders on analysis findings and strategic recommendations
Communicate complex technical concepts effectively to technical, non-technical, and senior leadership audiences
Utilize strong programming skills in Python and SQL to explore, analyze, and interpret large volumes of data in various formats
Leverage advanced analytics tools and languages to analyze massive datasets from multiple data sources
Mentor junior team members and contribute to the continuous improvement of analytical methodologies
Required Qualifications
Experience: Minimum 3 years of experience applying modern machine learning techniques to build predictive models for both classification and regression problems
Technical Skills: 3+ years of experience using Python and SQL for data analysis and modeling
Business Communication: 2+ years of experience extracting meaningful insights from analysis and interpreting results of complex models to present to business audiences, including technical, non-technical, and senior leadership stakeholders
Data Engineering: 2+ years of experience preparing data for analysis, collaborating with data engineering teams to create modeling datasets, evaluating data completeness and quality, and performing feature engineering
Advanced Analytics: 2+ years of experience applying knowledge of advanced analytics tools and languages to analyze large datasets from various data sources
Experimental Design: 2+ years of experience in experimental design and managed/solo machine learning approaches
Education: Bachelor's degree in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline
Preferred Qualifications
Experience designing and implementing online A/B testing experiments at scale
Demonstrated ability to communicate technical concepts and recommendations effectively to diverse audiences
Strong ability to communicate confidently and clearly with colleagues, project teams, and senior management
Proactive problem-solving skills with the ability to anticipate and prevent issues before they occur
Proficiency in multiple areas of mathematical analysis techniques, machine learning, statistical analysis, experimental design, and predictive modeling, with deep specialization in certain areas
Advanced degree (Master's or PhD) in a related discipline
Experience with causal inference methodologies and Marketing Mix Modeling
Background in healthcare, retail, or digital advertising analytics
Work Environment & Culture
This position follows a hybrid work plan, located primarily in our California office with the flexibility to work remotely part of the week. You will be expected to commute to the office 3 days per week on a rotating schedule, allowing for collaborative in-person sessions while maintaining work-life balance.
At arenaflex, we foster a culture of innovation, collaboration, and continuous learning. You'll work alongside talented professionals across various specialty units, gaining exposure to the full breadth of our healthcare ecosystem. Our inclusive environment encourages diverse perspectives and creative problem-solving, ensuring that every team member feels valued and empowered to contribute their best work.
Career Growth Opportunities
Joining the arenaflex Enterprise Digital Analytics team offers exceptional opportunities for professional development and career advancement. You'll gain experience working with massive datasets and cutting-edge technologies, positioning yourself for leadership roles in data science and analytics. Our commitment to internal mobility means that top performers have pathways to advance within the organization, whether in technical tracks or people-management positions.
We invest heavily in our employees' growth through mentorship programs, tuition reimbursement, and access to exclusive learning resources. You'll have the opportunity to attend industry conferences, participate in hackathons, and collaborate on innovative projects that shape the future of healthcare technology.
Compensation & Benefits
We recognize that our people are our greatest asset, which is why we offer competitive compensation and comprehensive benefits that support both your professional and personal well-being.
Compensation:
The typical salary range for this position is $106,605.00 - $206,000.00 annually
Actual base compensation will depend on factors including experience, education, geography, and other relevant considerations
Eligible for arenaflex bonus, commission, or short-term incentive programs in addition to base salary
Benefits Package:
Comprehensive medical, dental, and vision coverage for you and your family
401(k) retirement savings plan with company match
Employee Stock Purchase Plan (ESPP) available for qualified employees
Fully paid term life insurance plan
Short-term and long-term disability benefits
Wellness programs and employee assistance resources
Education assistance and free development courses
Exclusive arenaflex store discounts and partner perk programs
PTO (Paid Time Off) or vacation pay, plus paid holidays throughout the year
Sick leave and other time off consistent with applicable state laws
Join Our Team
If you're ready to make an impact in healthcare through data-driven innovation, we invite you to apply for this exciting opportunity. At arenaflex, you'll find more than just a job—you'll discover a career where your contributions matter and your growth is prioritized.
We are committed to hiring, recruiting, developing, advancing, and retaining individuals with disabilities. As such, we provide equal access to the benefits and privileges of employment, including reasonable accommodations to perform essential job functions. If you require accommodation, please contact our HR team.
arenaflex requires certain employees to be fully vaccinated against COVID-19 (including any booster shots if required), where appropriate under the law, unless approved for a reasonable accommodation based on disability, illness, religious belief, or other legally recognized reasons.
Ready to bring your heart to work? Apply today and join the arenaflex family!