Senior Data Scientist – Advanced Analytics & Machine Learning for Digital Advertising Platform

Job Description:

Join arenaflex as a Senior Data Scientist: Shape the Future of Digital Advertising Analytics

Are you passionate about transforming raw data into actionable insights that drive business decisions? Do you thrive on solving complex analytical challenges using cutting-edge machine learning techniques? arenaflex invites you to join our dynamic Enterprise Digital Analytics (EDA) team as a Senior Data Scientist, where you'll play a pivotal role in revolutionizing how we deliver personalized, data-driven healthcare experiences to millions of customers across the nation.

At arenaflex, we believe that every interaction with our customers is an opportunity to make healthcare more personal, convenient, and affordable. Our CVS Media Exchange (CMX) division sits at the intersection of healthcare and digital innovation, leveraging advanced analytics to connect brands with the audiences that matter most. As a Senior Data Scientist on this team, you'll be instrumental in developing predictive models, designing experiments, and uncovering insights that directly impact how millions of consumers engage with our digital ecosystem.

About the Role

The Senior Data Scientist position offers a unique opportunity to apply your expertise in machine learning, statistical analysis, and causal inference to drive measurable business outcomes. You'll collaborate closely with cross-functional teams including product managers, engineers, and business stakeholders to translate complex analytical findings into strategic recommendations that enhance customer experiences and drive organizational growth.

This hybrid role is based in our New York City office, with a flexible work arrangement that allows you to collaborate in-person three days per week, every other week. This balance fosters meaningful connections with your team while maintaining the flexibility you need to do your best work.

What You'll Do

As a Senior Data Scientist at arenaflex, your responsibilities will span the full analytics lifecycle, from problem definition to solution deployment. You'll be expected to:

• Develop predictive models: Build and deploy machine learning models for both classification and regression problems, leveraging modern AI techniques to solve business challenges across customer acquisition, engagement, retention, and conversion.


• Conduct advanced statistical analysis: Analyze structured and unstructured data to address complex business problems using sophisticated statistical methods, mathematical modeling, and industry expertise.


• Design and execute experiments: Plan, implement, and analyze A/B tests and other controlled experiments to measure the impact of product changes and marketing initiatives. Apply causal inference methodologies and Marketing Mix Modeling (MMM) when traditional A/B testing isn't feasible.


• Collaborate with cross-functional partners: Work closely with product teams, engineering, and business stakeholders to understand their challenges and develop data-driven solutions that meet their objectives.


• Extract meaningful insights: Interpret complex model results and translate technical findings into clear, actionable recommendations for both technical and non-technical audiences, including senior leadership.


• Perform feature engineering: Prepare data for analysis in collaboration with data engineering teams, ensuring data quality and creating robust modeling datasets.


• Communicate results effectively: Create compelling presentations and participate in meetings with internal and external stakeholders to showcase analysis results and proposed solutions.


• Drive innovation: Explore new analytical approaches, algorithms, and tools that can enhance our analytics capabilities and provide competitive advantages.

What We're Looking For

We're seeking a candidate who combines deep technical expertise with strong business acumen and excellent communication skills. The ideal candidate will be comfortable working in a fast-paced, collaborative environment and passionate about using data to drive real-world impact.

Required Qualifications

• Experience: A minimum of three years of experience applying modern machine learning techniques to build predictive models for both classification and regression problems.


• Technical skills: Strong proficiency in Python and SQL, with the ability to manipulate, analyze, and interpret large datasets across multiple data sources.


• Communication: At least two years of experience extracting meaningful insights from complex model analysis and presenting results to diverse audiences, including technical teams, business stakeholders, and senior executives.


• Data preparation: Two or more years of experience preparing data for analysis, collaborating with data engineering teams to create modeling datasets, assessing data quality, and performing feature engineering.


• Analytical tools: Hands-on experience applying advanced analytics tools and languages to analyze large datasets from various sources.


• Experimental design: Two years of experience with experimental design and managed or independent machine learning approaches.

Preferred Qualifications

• A/B testing experience: Demonstrated experience designing and implementing online experiments (A/B testing) to measure product and marketing impact.


• Communication prowess: Strong ability to communicate complex technical concepts and recommendations to colleagues at all levels of the organization.


• Stakeholder management: Excellent interpersonal skills with the ability to collaborate effectively with team members, project stakeholders, and senior leadership.


• Problem prevention: Proactive approach to anticipating and preventing issues and detours before they occur.


• Depth and breadth: Strong capability across multiple areas of statistical analysis, machine learning, experimental design, and predictive modeling, with deep specialization in specific 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.

Why arenaflex?

At arenaflex, we're committed to putting our heart into everything we do—for our customers, our communities, and most importantly, our colleagues. We believe that when our team members thrive, our organization thrives, and that's why we invest heavily in your professional growth, well-being, and work-life balance.

Compensation and Benefits

We recognize that exceptional talent deserves exceptional rewards. The salary range for this position is $106,605 - $206,000 annually, depending on experience, education, and geographic location. In addition to competitive base compensation, this role is eligible for arenaflex bonuses, commissions, and short-term incentive programs.

Our comprehensive benefits package includes:

• Health coverage: Full medical, dental, and vision benefits for you and your family.


• Retirement savings: 401(k) retirement savings plan with company matching.


• Stock purchase plan: Employee Stock Purchase Plan available for qualified employees.


• Life insurance: Fully paid term life insurance for qualified employees.


• Disability coverage: Short-term and long-term disability benefits.


• Wellness programs: Access to numerous wellness programs and resources.


• Education support: Tuition assistance and free development courses to support your continuous learning.


• Perks and discounts: Exclusive discounts and special offers through our partner network.


• Time off: Generous paid time off (PTO) or vacation pay, plus paid holidays throughout the year.

Career Growth and Development

Your career at arenaflex is what you make of it. We provide extensive opportunities for professional development, including access to cutting-edge training programs, certifications, and mentorship from industry leaders. As part of the Enterprise Digital Analytics team, you'll gain exposure to all specialty units within arenaflex, providing a comprehensive understanding of how data drives decisions across the entire organization.

You'll have the chance to work on diverse projects that span customer journey analysis, personalization engines, experimentation platforms, and advanced attribution modeling. This breadth of experience will accelerate your career growth and position you as a leader in the field of data science within the healthcare and digital advertising industries.

Our Culture

arenaflex is more than a workplace—it's a community dedicated to transforming healthcare for the better. Our "Heart At Work" behaviors guide everything we do: we act with courage, we embrace change, we innovate relentlessly, and we treat every individual with dignity and respect. We believe that diverse perspectives drive innovation, and we're committed to creating an inclusive environment where everyone can bring their authentic selves to work.

Our hybrid work model balances the best of both worlds—meaningful in-person collaboration and the flexibility to work remotely. You'll have access to state-of-the-art facilities in New York City, including collaborative spaces, modern amenities, and a vibrant community of colleagues who are passionate about making a difference.

How to Apply

If you're ready to take the next step in your data science career and make an impact at a company that's transforming healthcare, we encourage you to apply. Here's how:

1. Review the official job posting carefully to understand the role and requirements.


2. Prepare your application materials, including your updated resume and any relevant documentation.


3. Complete the online application form with accurate and detailed information.


4. Attach required documents, including your qualifications certificate with mark sheets and any other supporting materials.


5. Include a recent passport-sized photograph and your signature where required.


6. Submit your application and await further communication from our recruiting team.

For more information about available benefits, please visit our careers website.

Commitment to Inclusion

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 reasonable accommodations for qualified individuals to perform essential job functions. If you require accommodation assistance or have questions, please contact our Human Resources team.

Join Our Team

At arenaflex, we carry our hearts to every moment of your health—and we carry that same passion into how we treat our colleagues. If you're looking for a role where your analytical skills can make a real difference, where you'll be challenged and supported in equal measure, and where you'll be part of something truly meaningful, we invite you to apply today.

Bring your heart to arenaflex. Join us in our mission to make healthcare more personal, convenient, and affordable for everyone.