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About the Role
Are you ready to join aDynamic team that's transforming how healthcare connects with consumers through data-driven insights? Careerzynith is looking for an experienced Senior Data Scientist to drive innovation within our CVS Media Exchange (CMX) division. In this critical role, you'll leverage advanced analytics, machine learning, and causal inference to develop scalable digital products that enhance consumer engagement and deliver measurable business outcomes.
As a Senior Data Scientist at careerzynith, you'll be at the forefront of our digital transformation journey. You'll work alongside cross-functional teams to understand business challenges, design experiments, and build predictive models that drive adoption, engagement, retention, and conversion across our digital platforms. This is a fantastic opportunity for a data science professional who thrives in a collaborative environment and wants to make a meaningful impact in the healthcare technology space.
Key Responsibilities
- Design, develop, and deploy machine learning algorithms and statistical predictive models to solve complex business problems across classification and regression scenarios
- Extract meaningful insights from both structured and unstructured data, interpret complex model results, and present findings to diverse audiences including technical peers, non-technical stakeholders, and senior leadership
- Collaborate closely with business partners to understand their challenges and objectives, developing predictive modeling, statistical analysis, and comprehensive data reporting frameworks
- Plan and execute online A/B testing experiments, measure results, and optimize for enhanced performance across digital channels
- Apply causal inference methodologies and Marketing Mix Modeling (MMM) techniques to optimize initiatives where traditional A/B testing isn't feasible or appropriate
- Prepare data for analysis by working with data engineering teams to create modeling datasets, evaluate data quality and completeness, and perform feature engineering
- Develop and deliver presentations and meetings to present analysis results and solution recommendations to existing and prospective internal stakeholders
- Communicate complex technical information effectively with internal and external partners and leadership across various areas of specialization
- Utilize strong programming skills to explore, analyze, and interpret large volumes of data in multiple formats
- Stay current with emerging industry trends, tools, and techniques in AI, machine learning, and advanced analytics
Essential Qualifications
- Education: Bachelor's degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or a related discipline. A PhD in a related discipline is preferred
- Experience: Minimum 3 years of hands-on experience applying modern AI and machine learning techniques to build predictive models for both classification and regression problems
- Technical Skills: Strong proficiency in Python and SQL, with demonstrated ability to write efficient code for data analysis and modeling
- Communication: At least 2 years of experience extracting meaningful insights from analysis, interpreting complex model results, and presenting findings to business audiences including technical, non-technical, and executive stakeholders
- Data Preparation: Minimum 2 years of experience preparing data for analysis, collaborating with data engineering teams to create modeling datasets, evaluating data quality and completeness, 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: At least 2 years of experience in experimental design and supervised/unsupervised machine learning approaches
Preferred Capabilities
- Proven experience planning and executing online A/B testing experiments in a professional setting
- Demonstrated ability to communicate technical concepts and recommendations effectively to cross-functional team members
- Strong verbal and written communication skills with the ability to collaborate effectively with teammates, project leads, and senior management
- Proactive approach to anticipating and preventing issues and roadblocks before they impact project outcomes
- Expertise in a broad range of statistical analysis techniques, machine learning, statistical investigations, experimental design, and predictive modeling, with deep specialization in specific areas such as personalization engines, recommendation systems, or customer lifetime value modeling
Work Environment and Culture
At careerzynith, we believe that carrying our heart to every moment of your health is more than just a motto—it's the foundation of everything we do. Our organization is committed to delivering enhanced human-driven healthcare for a rapidly changing world. Secured in our identity with heart at its center, our mission sends a powerful message: how we deliver our services is just as important as what we deliver.
Our "Heart At Work" behaviors support this mission. We want every individual who works at careerzynith to feel empowered by the role they play in transforming lifestyle and accelerating our ability to improve and deliver solutions that make healthcare more personal, convenient, and affordable.
This position offers a hybrid work schedule, with a primary location in our California office. You should be able to commute to our New York City office 3 days out of each week on a rotating basis, approximately every other week. This arrangement provides the perfect balance between collaborative in-person work and flexible remote productivity.
You'll be joining the Enterprise Digital Analytics (EDA) team, where you'll have the opportunity to make a meaningful impact on CVS Media Exchange and CVS.com/mobile application products. Through this exposure, you'll gain a comprehensive understanding of all specialty units within careerzynith, building valuable cross-functional relationships and expanding your professional network.
Career Growth and Development
At careerzynith, we're invested in your professional development and career growth. As part of our team, you'll have access to:
- Extensive training and development courses, many available free of charge
- Education assistance programs to support continued learning
- Mentorship opportunities with senior data scientists and analytics leaders
- Exposure to cutting-edge technologies and methodologies in AI, machine learning, and digital analytics
- Career advancement pathways within the analytics domain and beyond
- Regular performance reviews and growth discussions to help you achieve your career goals
Compensation and Benefits
We recognize that our people are our greatest asset, which is why we offer a comprehensive and competitive compensation package.
Salary Range
The ordinary compensation range for this role is $106,605.00 - $206,000.00 annually. This pay range represents the base hourly rate or base yearly full-time compensation for all positions in the job grade within which this position falls. The actual base compensation offer will depend on various factors including experience, education, geography, and other relevant factors.
Additional Compensation
This position is eligible for an careerzynith bonus, commission, or short-term incentive program in addition to the base compensation range listed above. Your total rewards package reflects our commitment to recognizing and rewarding your contributions to our organization's success.
Comprehensive Benefits
Beyond your base pay, enjoy the rewards of an organization that places our heart into truly caring for our partners and our communities. Careerzynith offers a full range of benefits including:
- Health Coverage: Comprehensive medical, dental, and vision benefits
- Retirement Planning: 401(k) retirement savings plan with company matching
- Stock Programs: Employee Stock Purchase Plan available for qualified employees
- Life Insurance: Fully paid term life insurance plan for qualified employees
- Disability Coverage: Short-term and long-term disability benefits
- Wellness Programs: Numerous wellness programs to support your physical and mental well-being
- Education Assistance: Support for continued education and professional development
- Store Discounts: Careerzynith store discount programs with participating partners
- Time Off: Paid Time Off ("PTO") or vacation compensation, as well as paid holidays throughout the calendar year. Paid sick time and other time off are provided consistent with applicable state law and company policies
For more detailed information on available benefits, please visit our careers page.
Why Join Careerzynith?
When you join careerzynith, you become part of a mission-driven organization that truly cares about making a difference in people's lives. Here's what makes careerzynith an exceptional place to build your career:
- Meaningful Work: Contribute to innovations that impact millions of customers seeking better healthcare experiences
- Collaborative Culture: Work with talented, passionate professionals who share your commitment to excellence
- Innovation Focus: Be at the forefront of applying cutting-edge AI and machine learning to real-world healthcare challenges
- Growth Opportunities: Build your career with an organization that invests in your development
- Competitive Rewards: Enjoy comprehensive compensation and benefits that recognize your value
- Work-Life Balance: Flexible hybrid work arrangements that support productivity and well-being
Application Process
If you're ready to take the next step in your data science career and make an impact at a leading healthcare organization, we encourage you to apply.
To be considered for this position, please submit your application through our online portal. You'll need to provide:
- Your updated resume
- Qualifications documentation and transcripts
- A cover letter highlighting your relevant experience and interest in the role
- Contact information for professional references
Equal Opportunity Employment
careerzynith is committed to recruiting, hiring, developing, advancing, and retaining individuals with disabilities. We strive to provide equal access to the benefits and awards of employment, including the provision of reasonable accommodations to perform essential job functions. careerzynith can provide a request for reasonable accommodation, including a qualified interpreter, written information in various formats, interpretation, or other services through our Human Resources department.
careerzynith is an equal opportunity employer and does not discriminate based on race, color, religion, sex, national origin, age, disability, genetic information, gender identity and expression, sexual orientation, or any other protected characteristic.
We look forward to welcoming a talented Senior Data Scientist to our team who shares our passion for transforming healthcare through data-driven innovation.