Join arenaflex as a Senior Data Scientist – Drive Innovation Through Data
Are you ready to transform your analytical expertise into meaningful impact? At arenaflex, we're not just processing data—we're reshaping the future of healthcare and retail experiences. We're searching for a Senior Data Scientist to join our Enterprise Digital Analytics (EDA) team and help us build innovative, data-driven solutions that touch millions of lives every day.
As a Senior Data Scientist at arenaflex, you'll sit at the intersection of advanced analytics, machine learning, and business strategy. You'll work within our dynamic Media Exchange division—a cornerstone of our digital ecosystem that connects brands with consumers through cutting-edge advertising solutions. This isn't just another data role; it's an opportunity to architect the future of personalized healthcare experiences and digital commerce.
About arenaflex and Our Mission
At arenaflex, we believe that every moment of your health journey matters. Our singular, clear purpose drives everything we do: bringing our heart to every aspect of your well-being. This commitment extends beyond traditional healthcare—we're revolutionizing how consumers interact with health services, digital content, and personalized experiences through powerful data intelligence.
Our Heart At Work Behaviors™ define who we are as an organization. We seek individuals who feel empowered by the work they do and are passionate about accelerating our ability to deliver solutions that make healthcare more personal, convenient, and affordable. When you join arenaflex, you become part of a community that's transforming lives through innovation.
The arenaflex Media Exchange (CMX) Division
The arenaflex Media Exchange represents the pinnacle of our digital advertising capabilities. Our team is dedicated to driving measurable results for our providers, merchants, stores, brand sponsors, and agency partners. Through full-channel advertisement solutions that leverage arenaflex's extensive online and offline data assets, we deliver quantifiable outcomes that help businesses build brand awareness, engage with consumers, and convert customers into loyal advocates.
With a range of flexible pricing and purchasing models—including self-service options—our Media Exchange helps organizations connect with consumers in meaningful ways. As a team member supporting our enterprise products (arenaflex Media Exchange and arenaflex.com/mobile application), you'll be exposed to all specialty units within the arenaflex ecosystem, gaining unparalleled breadth of experience across the healthcare and retail landscape.
What You'll Do: Senior Data Scientist Responsibilities
As a Senior Data Scientist on our Enterprise Digital Analytics team, you'll apply advanced analytics, experimentation, causal inference, and strategic problem-solving to grow digitally enabled products at arenaflex. Your work will directly impact how millions of consumers experience healthcare and retail services.
Your key responsibilities will include:
- Machine Learning Model Development: Build and deploy predictive models using modern AI techniques for both classification and regression problems. You'll create algorithms and statistical predictive models that drive business decisions.
- Advanced Data Analysis: Analyze structured and unstructured data to solve complex business issues using advanced statistical techniques, mathematical analysis, and deep industry knowledge.
- Collaborative Solution Design: Partner closely with colleagues across departments to understand their challenges and develop tailored analytical solutions that address real business needs.
- Customer Journey Optimization: Analyze customer journeys to identify opportunities that drive increased adoption, engagement, retention, and conversion throughout the consumer experience.
- Personalization Engineering: Develop personalization capabilities using artificial intelligence to target specific audiences for relevant, timely outreach that resonates with individual needs.
- Experimental Design and Testing: Design, execute, and optimize online experiments (A/B testing) and measure their impact on business outcomes.
- Causal Inference and Modeling: Apply sophisticated methodologies like causal inference and Marketing Mix Modeling (MMM) to optimize tests where traditional A/B testing isn't feasible or appropriate.
- Insight Communication: Prepare data for analysis, work with data engineering teams to create modeling datasets, evaluate data quality, and perform feature engineering that powers our predictive capabilities.
- Stakeholder Presentation: Create and deliver presentations to existing and prospective constituents on analysis results and recommended solutions, translating complex findings into actionable business insights.
- Cross-Functional Collaboration: Communicate complex information related to your area of specialization with internal and external partners and leadership to drive alignment and decision-making.
What We're Looking For: Required Qualifications
We're seeking a candidate with a proven track record of applying data science techniques to real-world business challenges. The ideal candidate will combine technical excellence with the ability to translate analytical insights into business impact.
Essential requirements include:
- Experience: A minimum of 3 years of experience applying modern machine learning techniques to build predictive models for both classification and regression problems.
- Technical Proficiency: 3+ years of hands-on experience with Python and SQL, demonstrating the ability to manipulate, analyze, and derive insights from complex datasets.
- Business Communication: 2+ years of experience extracting meaningful insights from analysis and interpreting results of complex models to present to business audiences—including technical teams, non-technical stakeholders, and senior leadership.
- Data Preparation: 2+ years of experience preparing data for analysis, collaborating with data engineering teams to create modeling datasets, assessing data satisfaction and quality, and performing feature engineering.
- Advanced Analytics Tools: 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 experiment design and managed/solo machine learning approaches.
Preferred Qualifications
While not required, the following qualifications will help you stand out:
- Hands-on experience designing and implementing online A/B testing experiments at scale.
- Demonstrated ability to communicate technical concepts and recommendations effectively to diverse audiences.
- Excellent interpersonal and communication skills with the ability to engage confidently with colleagues, project teams, and senior management.
- Proactive problem-solving skills with the ability to anticipate and prevent issues and detours before they occur.
- Proficiency across multiple areas of mathematical analysis methods, machine learning, statistical analysis, experimental design, and predictive modeling, with deep specialization in certain areas.
Education Requirements
- Master's degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or a related discipline.
- PhD in a related discipline is highly desirable.
Work Environment and Culture
This position follows a hybrid work plan, based in our New York City office. You'll be expected to commute to the New York City office 3 days per week on a consistent alternating schedule, allowing for a healthy balance between collaborative in-office work and remote flexibility.
At arenaflex, we foster a culture of innovation, collaboration, and continuous learning. You'll work alongside talented professionals across multiple specialty units, gaining exposure to the full breadth of our enterprise operations. Our environment encourages creative problem-solving, data-driven decision-making, and the pursuit of excellence in everything we do.
Compensation and Benefits
We recognize that top talent deserves competitive compensation. The ordinary salary range for this Senior Data Scientist position is $106,605.00 - $206,000.00 per year. The actual base compensation will depend on factors including experience, education, geography, and other relevant considerations.
In addition to your competitive salary, you'll enjoy the rewards of an organization that puts heart into caring for our team members and communities:
- Comprehensive Health Coverage: Full range of medical, dental, and vision benefits for you and your family.
- Retirement Savings: Eligible to participate in our 401(k) retirement savings plan with company matching.
- Stock Purchase Plan: Employee Stock Purchase Plan available for qualified team members.
- Life Insurance: Fully paid term life insurance plan for qualified employees.
- Disability Coverage: Short-term and long-term disability benefits.
- Wellness Programs: Access to numerous wellness programs and resources to support your physical and mental well-being.
- Education Support: Tuition assistance, free development courses, and educational resources.
- Team Member Discounts: Discount programs with participating partners, including exclusive arenaflex store discounts.
- Time Off: Generous Paid Time Off (PTO) or vacation compensation, plus paid holidays throughout the calendar year. The number of paid holidays, sick time, and other time off are provided consistent with applicable state laws and company policies.
Career Growth Opportunities
At arenaflex, your career trajectory is limited only by your ambition. As a Senior Data Scientist, you'll have the opportunity to:
- Lead high-impact projects that shape the future of healthcare technology.
- Mentor junior data scientists and contribute to team growth.
- Develop expertise across multiple business units and product lines.
- Influence strategic decisions through data-driven insights.
- Advance into technical leadership or management paths based on your career goals.
Ready to Make an Impact?
If you're passionate about leveraging data science to transform consumer experiences and drive meaningful business outcomes, we want to hear from you. Join arenaflex and become part of a team that's genuinely committed to improving lives through innovation.
Bring your heart to arenaflex. Bring your best self to work. Together, we'll continue building a healthcare experience that's more personal, more convenient, and more affordable for everyone.
arenaflex is committed to recruiting, hiring, developing, advancing, and retaining individuals with disabilities. We strive to provide equal access to the benefits and privileges of employment, including the provision of reasonable accommodations to perform essential job functions. If you require a reasonable accommodation, please contact [email protected].