Data Scientist
Work At Home-New York
Full Time Mid-level / Intermediate USD 72K - 144K
Bring your heart to CVS Health. Every one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand — with heart at its center — our purpose sends a personal message that how we deliver our services is just as important as what we deliver.
Our Heart At Work Behaviors™ support this purpose. We want everyone who works at CVS Health to feel empowered by the role they play in transforming our culture and accelerating our ability to innovate and deliver solutions to make health care more personal, convenient and affordable.
Position Summary
We are seeking a candidate with a keen sense of natural curiosity who will play a crucial role in enhancing customer care and driving innovation through the application of machine learning and data science. In this position, you will be responsible for leveraging advanced analytics to develop products that significantly improve customer care experiences, particularly through digital platforms and Call Center Operations.
Our team applies data science methodologies to interdisciplinary business problems across Customer Care and Customer Experience. As a senior data scientist, you will work on an ambitious goal of retaining and developing the best CSR (Customer Service Representative), driving a simplified customer experience (CX) while reducing call volumes and costs, and expanding digital capacity and self-service channels. To succeed in this role, you must be able to:
- Develop advanced machine learning algorithms and proof of concepts to understand customers need and solve complex business problems at scale.
- Write complex and efficient SQL code and leverage Exploratory Data Analysis techniques to develop insights from digital and call operations data.
- Work closely with business stakeholders, service representatives and machine learning engineers to deliver products and analysis.
- Translate analytical outputs into business outcomes/value delivered.
- Drive adoption and usage of modern analytical products and models.
- Frame problems, determine the intended approach, and recommend quantitative methods to answer targeted questions and develop solutions.
Required Qualifications
- 1-2+ years of hands-on experience in data analysis and machine learning.
- Knowledge of statistical analysis and experiment design.
- Proven attention to detail, critical thinking, and the ability to work both independently and collaboratively within a cross-functional team.
- Strong SQL skills and experience in programming Python.
- Familiar with version control systems (Git) and software engineering best practices.
Preferred Qualifications:
- Proficiency in creating engaging presentations, demonstrating strong storytelling skills, and effectively collaborating with stakeholders.
- Ability to translate analytical findings into actionable opportunities by closely collaborating with stakeholders.
- Analytical experience with digital or call center data is preferred.
- Strong business acumen and problem-solving skills with an emphasis on product development.
Education
- Bachelor's degree in Mathematics, Computer Science, Physics, Engineering, or equivalent quantitative field.
- Master's degree or PhD preferred
Pay Range
The typical pay range for this role is:
$72,100.00 - $144,200.00This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.
In addition to your compensation, enjoy the rewards of an organization that puts our heart into caring for our colleagues and our communities. The Company offers a full range of medical, dental, and vision benefits. Eligible employees may enroll in the Company’s 401(k) retirement savings plan, and an Employee Stock Purchase Plan is also available for eligible employees. The Company provides a fully-paid term life insurance plan to eligible employees, and short-term and long term disability benefits. CVS Health also offers numerous well-being programs, education assistance, free development courses, a CVS store discount, and discount programs with participating partners. As for time off, Company employees enjoy Paid Time Off (“PTO”) or vacation pay, as well as paid holidays throughout the calendar year. Number of paid holidays, sick time and other time off are provided consistent with relevant state law and Company policies.
For more detailed information on available benefits, please visit jobs.CVSHealth.com/benefits
Tags: Computer Science CX Data analysis EDA Engineering Git Machine Learning Mathematics PhD Physics Python SQL Statistics
Perks/benefits: Career development Health care Insurance Salary bonus
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Marketing Data Analyst jobs
- Open Data Science Manager jobs
- Open Lead Data Analyst jobs
- Open Data Engineer II jobs
- Open Senior Business Intelligence Analyst jobs
- Open Principal Data Engineer jobs
- Open MLOps Engineer jobs
- Open Data Analytics Engineer jobs
- Open Data Scientist II jobs
- Open Power BI Developer jobs
- Open Junior Data Scientist jobs
- Open Business Intelligence Developer jobs
- Open Product Data Analyst jobs
- Open Business Data Analyst jobs
- Open Sr Data Engineer jobs
- Open Data Analyst Intern jobs
- Open Senior Data Architect jobs
- Open Sr. Data Scientist jobs
- Open Big Data Engineer jobs
- Open Research Scientist jobs
- Open Data Quality Analyst jobs
- Open Manager, Data Engineering jobs
- Open Azure Data Engineer jobs
- Open Principal Data Scientist jobs
- Open Data Product Manager jobs
- Open GCP-related jobs
- Open Data quality-related jobs
- Open Java-related jobs
- Open ML models-related jobs
- Open Business Intelligence-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open Deep Learning-related jobs
- Open PhD-related jobs
- Open Data visualization-related jobs
- Open NLP-related jobs
- Open Finance-related jobs
- Open PyTorch-related jobs
- Open TensorFlow-related jobs
- Open APIs-related jobs
- Open Consulting-related jobs
- Open LLMs-related jobs
- Open Generative AI-related jobs
- Open CI/CD-related jobs
- Open Snowflake-related jobs
- Open Hadoop-related jobs
- Open Kubernetes-related jobs
- Open Data governance-related jobs
- Open Databricks-related jobs
- Open DevOps-related jobs