Main Purpose:

We are seeking an experienced data scientist to lead the development of advanced analytics and decision-support tools within a research-driven environment. The ideal candidate will collaborate with a team of scientists, engineers, and key stakeholders to create and implement robust statistical and machine learning models aimed at enhancing decision-making and research insights. These tools will incorporate a range of computational techniques, including machine learning, optimization, and statistical modeling, to provide innovative solutions.

Knowledge Skills and Abilities, Key Responsibilities:

Knowledge, Skills and Abilities

• Experience: 10+ years in professional research with a solid track record in data science, statistical modeling, and algorithm development.
• Education: Required Ph.D. in either Applied Mathematics, Physics, Computer Science, or a closely related field.
• Technical Expertise: Proficiency in Python or SQL, with significant experience in quantitative analysis, machine learning frameworks, and advanced statistical methods.
• Communication Skills: Strong ability to convey technical concepts effectively to non-technical audiences.
• Applied Statistical and Machine Learning Skills: Demonstrated experience in building and deploying machine learning and statistical models within a research or business setting.
• Optimization Applications: Familiarity with optimization techniques, such as linear programming and Monte Carlo methods, for analytical or decision-support applications.
• Data Engineering Knowledge: Understanding of ETL processes and experience with AWS cloud infrastructure.
• Visualization Platforms: Experience with platforms such as Tableau or Streamlit is a plus.

Key Responsibilities

• Development and Maintenance of Analytical Models: Build, manage, and refine models and applications to support decision-making in research and analysis.
• Cross-Functional Collaboration: Work closely with interdisciplinary teams, including researchers, engineers, and project stakeholders, to address complex data challenges with advanced data science techniques.

Key Relationships and Department Overview:

Key Relationships

• Report directly to the Chief Data Scientist.
• Collaborate with global research leaders and data science teams.
• Interface regularly with both technical and non-technical stakeholders to present data insights and findings.

Competencies

• Strong analytical and problem-solving skills with an aptitude for innovation.
• Proven ability to apply data science and analytics creatively to address diverse research challenges.