About CVS Health
We are a pioneering business that is transforming healthcare in the United States by making customer experiences more seamless, convenient and personalized.
Our purpose is to bring our heart to every moment of your health. This guides our commitment to deliver enhanced human-centric healthcare for a rapidly changing world.
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 healthcare more personal, convenient and affordable.
Position Summary:
We are hiring a Data Scientist to play a crucial role in shaping our promotions optimization strategy. You will drive impactful business outcomes through innovative data science solutions.
Key Responsibilities:
* Data Science Application: Identify and leverage data science opportunities across CVS Health's retail business, with a focus on promotions, personalization, and front store retail initiatives.
* Cross-Functional Collaboration: Partner with cross-functional teams to develop innovative technical and business approaches, fostering trust and commitment through Agile methodologies.
* Solution Development: Design and implement robust, scalable solutions using machine learning and statistical methods, generalizing methodologies for broad applications to achieve business objectives.
* Algorithm Development: Create, validate, and deploy algorithms and predictive models to analyze complex problems, detect patterns, and recommend actionable solutions.
* Data Exploration: Analyze and interpret large volumes of structured and unstructured data to address complex business challenges effectively.
* Advanced Analytics: Utilize advanced statistical techniques and mathematical analyses to derive insights that inform strategic decision-making.
* Data Infrastructure: Develop and maintain data structures and pipelines to organize, collect, and standardize data, facilitating insights and addressing reporting needs.
* Continuous Learning: Stay abreast of the latest advancements in machine learning solutions and methodologies to enhance our capabilities.
Your Responsibilities:
* Lead the continuous improvement of data science and machine learning practices by adhering to industry best practices and advancing the state-of-the-art in machine learning research.
* Integrate data science solutions into existing business processes to enhance operational efficiency and effectiveness.
* Establish and recommend best practices in machine learning tailored to the retail industry.
What You Will Bring:
* A PhD with 1+ years of experience, a Master's degree with 3+ years, or a Bachelor's degree with 5+ years of relevant experience in a STEM field.
* Proven experience in analyzing complex problems and translating them into efficient data science algorithms with a focus on computational efficiency.
* Expertise in optimization machine learning techniques, including supervised and unsupervised learning, forecasting, classification, natural language processing (NLP), and deep learning.
* Strong background in statistical learning, predictive and prescriptive analytics, and experience with big data technologies.
* Proficiency in Python and at least one object-oriented programming language, along with experience in machine learning frameworks (e.g., TensorFlow, PyTorch).
* Familiarity with SQL, relational databases, and big data platforms (e.g., Hadoop, Spark).
* Domain knowledge in retail merchandising and experience managing multiple stakeholders while effectively communicating data-driven insights.