Data Scientist (North America)

Are you interested in learning about what makes capital projects really tick? Do you love making connections and solving puzzles or problems? Are you detailed and focused, but you have broad interests and ideas? Do you enjoy analytical research work?

IPA is a research firm that has provided insights to help shape and improve the capital project portfolios of our clients for over 35 years. Unlike other consulting firms, IPA’s recommendations are drawn from measured data collected by IPA through face-to-face interviews. Our hands on data collection process ensures our data are accurate and of the highest quality.

The Data Scientist role focuses on extracting insights from our large database of capital projects. These insights are used to hone and refine our benchmarking and market intelligence products across industrial sectors (oil and gas, energy, minerals, infrastructure, chemicals, pharmaceutical, and consumer products). Our Data Scientists are also tasked with supporting the creation of new products (e.g., applications) that drive the company forward and help our clients navigate a changing world. Independent Project Analysis, Inc. (IPA) is a company that values innovation, and our Data Scientists have an instrumental role this innovation effort.

IPA seeks candidates for the Data Scientist position with strong analytical and programming skills, and intellectual curiosity who are looking to contribute as a thought leader.

The general responsibilities of the Data Scientist role include:

• Develop and deploy machine learning models for predictive analytics
• Research and implement new algorithms and techniques to improve model performance and efficiency
• Analyze datasets to extract insights
• Clean, preprocess, and optimize datasets for modeling and reporting
• Develop and deploy large language model (LLM)-based in-house tools
• Collaborate with cross-functional groups within IPA and work directly with clients to identify solutions to address their questions and needs

• Bachelor’s or master’s degree in data science, computer science, statistics, mathematics, or a related field
• Proven experience in data science, machine learning, and statistical modeling
• Proficiency in Python, R, SQL, or other relevant programming languages
• Experience with machine learning frameworks such as PyTorch and Scikit-Learn
• Proven experience in developing and deploying both traditional machine learning models and deep neural networks
• Good understanding of machine learning operations (MLOps) principles and practices
• Familiarity with cloud platforms, such as AWS and Azure
• Experience with LLMs using RAG and Agents for business use is a significant plus
• Must be able to work on-site

For over 35 years, IPA has delivered groundbreaking research and quantitative risk analyses to enhance the value generated by our clients’ capital project systems and meet their obligations for sustainable and safe performance. IPA guides capital intensive organizations to establish the right combination of people, work process, and governance to maximize performance across several measures: cost, schedule, safety, operability performance, and carbon reduction. We have a dataset of over 24,000 capital projects as the basis of our work. Our clients are leading companies in the energy, minerals, infrastructure, chemicals, pharmaceutical, and consumer products sectors. IPA is committed to social and ethical responsibility, and all global offices initiate or participate in local charity initiatives to support those in need. We offer competitive salaries, excellent benefits, stable employment, and a long-term career path for professional growth and development.

Applicants should complete the form below and include a cover letter, resume, and salary requirement. IPA is an Equal Employment Opportunity employer.