Data Scientist

4 weeks ago

Galway, Galway, Ireland CVS Health Ireland Full time
CVS Health, the parent company of Signify Health, is increasing investments in digital, data, analytics and technology and Signify Health is excited to be involved We are hiring for a dynamic new initiative for CVS Health that will run out of our state-of-the-art offices at Bonham Quay.

This is your opportunity to be involved with a pioneering business that is transforming health care in the United States by making customer experiences more seamless, convenient and personalised.

CVS Health is focused on driving business agility and growth through technology, data, digital and experiential innovations.

'Digital First, Technology Forward and Data Driven' is not simply an aspirational goal for the company, but a prerequisite to accelerated growth.

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.

As we reflect on our learnings and successes from remote work, we aim to provide a new state of the art flexible work environment in our Galway facility at Bonham Quay to support those objectives.

Careers with offer flexible work arrangements and individuals who live and work in the Republic of Ireland will have the opportunity to divide their time between our Galway office and their home office.

Position Summary: Join CVS as a Data Scientist and play a crucial role in shaping our promotions optimization strategy.

In this position, you will drive impactful business outcomes through innovative data science solutions.

As the Senior Data Scientist for Optimization, you will lead the execution of promotions optimization initiatives, develop and communicate strategic business plans, and remove barriers to performance.

Your collaboration with key stakeholders will be essential in ensuring that business needs are met and that we continuously improve and adapt our strategies.

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.

What You Will Do: Apply and develop machine learning solutions to create efficient, scalable models that drive actionable insights from extensive datasets.

Collaborate with business, engineering, and science teams to identify and implement impactful solutions to complex business problems.

Define and monitor model performance metrics, ensuring alignment with business impact over time.

Present complex analyses and recommendations to business partners in a clear, actionable format, influencing strategic decisions.

Develop proof of concepts (Po Cs) and transition solutions into production-ready pipelines and APIs as required by the business.

Research and integrate new technologies to enhance existing solutions and address emerging challenges.

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 Ph D 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., Tensor Flow, Py Torch).

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.

To Apply Please forward your CV via the APPLY Now button below.

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