Data Scientist - Advance Analytics

Key Skills

AWS, Azure, Data Analytics, Data science techniques, Data Visualization, Natural Language Processing (NLP), PowerBI, Python Programming, Tableau

Job Description

1 company! - That is the journey Novartis is on in its quest to extend and improve people’s lives through reimagining medicine. We have a clear strategy: to be a focused medicines company powered by sophisticated therapy platforms and data science. We recognize that our People drive our company and that significant effort is being invested in unleashing their power through the transformation of our culture and our organization.

We are seeking a talented and experienced Data Scientist - Advanced Analytics to join our team. The role requires a strong background in data science, including expertise in forecasting, natural language processing (NLP), regression analysis, statistical analysis, programming and data manipulation, data visualization and reporting, and solutions architecture on AWS/Azure. The Data Scientist will be responsible for leveraging advanced analytics techniques to extract insights, develop models, and provide actionable recommendations to drive data-driven decision-making within our organization.

Your Responsibilities:

Your responsibilities include, but not limited to:

• Apply time series analysis techniques to develop accurate and robust forecasting models for various business domains.
• Utilize NLP methodologies, including search engine development, sentiment analysis, text classification, and question answering, to extract insights from unstructured text data.
• Perform regression analysis to model and understand relationships between variables, providing insights into key drivers and factors affecting business outcomes.
• Apply statistical analysis techniques, such as hypothesis testing and data patterns identification, to extract meaningful insights and support decision-making.
• Utilize programming skills, especially in Python, for data manipulation, preprocessing, and feature engineering tasks.
• Develop interactive data visualizations and reports using tools like Qlik Sense, Tableau, Power BI, and matplotlib to communicate complex findings in a clear and concise manner.
• Architect end-to-end solutions on cloud platforms like AWS/Azure, ensuring scalability, reliability, and security of analytics infrastructure.
• Collaborate with cross-functional teams to understand business requirements and translate them into data science solutions.
• Stay up to date with the latest advancements in data science, machine learning, and AI technologies, and explore their potential applications to drive innovation within the organization.

Diversity & Inclusion / EEO

Novartis is committed to building an outstanding, inclusive work environment and diverse team’s representative of the patients and communities we serve.

Minimum Requirements

What you’ll bring to the role:

• Bachelor's or Master's degree in a relevant field (e.g., Data Science, Computer Science, Statistics, or related).
• Proven experience in forecasting, NLP, regression analysis, and statistical analysis.
• Strong programming skills, particularly in Python, for data manipulation, preprocessing, and feature engineering.
• Basic proficiency in data visualization and reporting tools like Qlik Sense, Tableau, Power BI, and matplotlib.
• Experience with solutions architecture on cloud platforms, such as AWS/Azure, is highly desirable.
• Knowledge of machine learning algorithms and techniques is a must.
• Strong analytical thinking, problem-solving, and communication skills.
• Ability to work independently and collaboratively in a team environment.
• Strong attention to detail and ability to handle and analyze complex and large-scale datasets.

Why Novartis?

236 million lives were touched by Novartis medicines in 2022, and while we’re proud of this, we know there is so much more we could do to help improve and extend people’s lives.

We believe new insights, perspectives and ground-breaking solutions can be found at the intersection of medical science and digital innovation. That a diverse, equitable and inclusive environment inspires new ways of working.

We believe our potential can thrive and grow in an unbossed culture underpinned by integrity, curiosity and flexibility. And we can reinvent what's possible, when we collaborate with courage to aggressively and ambitiously tackle the world’s toughest medical challenges. Because the greatest risk in life, is the risk of never trying!

Imagine what you could achieve here at Novartis!

Join our Novartis Network: If this role is not suitable to your experience or career goals but you wish to stay connected to learn more about Novartis and our career opportunities, join the Novartis Network here: https://talentnetwork.novartis.com/network