Senior Data Scientist (US)

About the Company

Lynx Analytics was founded in 2010 by a group of INSEAD students and professors with a strong research background in graph analytics. Our mission is to apply graph theory and cutting-edge data analytics and AI solutions to help companies transform their operations and optimize their commercial performance. With offices in Singapore, the US, Hong Kong, Hungary, and operations in several other countries, we work with some of the world’s largest companies. Our diverse and inclusive global team includes professors, PhDs, MSc’s, and MBAs from Ivy League universities, INSEAD, and NUS, with experience in start-ups and blue-chip companies such as Google, Databricks, ZS, Abbvie, Amgen, Vodafone, Morgan Stanley, Palantir, and Katana Graph.

About the Role

We are looking for a Senior Data Scientist to work on and lead complex data analysis projects using standard modeling, data transformation approaches, and Generative AI. The ideal candidate will be comfortable working with very large datasets residing in different data stores and disparate formats. This role requires strong hands-on implementation skills and offers the potential for a high-growth career trajectory. Excellent communication skills and the ability to visualize and present complex data science solutions to C-level stakeholders are essential. Leadership experience and charisma are highly valued.

Responsibilities

• Design and deliver solutions for defined data science-related problems.
• Present results and prepare presentations for project stakeholders.
• Create reusable documentation, presentations, and code libraries during projects.
• Participate in internal education and research tasks.
• Lead smaller data science tasks with the support of internal leadership and PMO.

Requirements

• More than 8 years of overall experience in the data science field.
• Experience in the life sciences industry is preferred.
• Degree in Mathematics, Statistics, Economics, Computer Science, Engineering, or a related field (MSc or PhD preferred).
• Understanding of complex data science solutions.
• Solid knowledge of probability theory, statistics, data science algorithms, and their application in areas such as Customer Retention and Campaign Management.
• Strong communication (both verbal and written) and data visualization skills.
• Proficiency in Python.
• Solid experience in LLM/NLP.

Benefits

• Work on real-world AI and advanced analytics solutions with measurable business impact.
• Collaborate with a global team of engineers and data scientists.
• Exposure to diverse industries, modern cloud platforms, and cutting-edge AI technologies.
• A collaborative culture that values real outcomes.
• High ownership with zero micromanagement.
• Rapid learning opportunities and diverse challenges.
• Flexible work hours and a remote-friendly setup.
• Flat organizational hierarchy with high visibility and accessibility to leaders.