Research Scientist

Key Skills

Aartificial intelligence, Analytical and Problem solving, Continuous Integration & Continuous Delivery - CI/CD, Data Analysis, Generative AI, Java Programming, Machine learning techniques, Optimization, Python Programming, PyTorch, R Programming, Scikit-learn, TensorFlow

Job Description

Keystone is a premier consulting firm that combines economics, technology, and strategy to solve complex challenges facing global brands. We impact society on a global scale by working at the forefront of influential technological cases changing consumer behavior and regulation laws. We also provide value by delivering insights and products that defines the future of the technological ecosystem. Keystone brings an interdisciplinary approach, leveraging the intersection of economics, software and technology, and business strategy to deliver transformative ideas.

At Keystone we believe everything is an opportunity for creativity. Transformative ideas can contradict common knowledge. Work hard and be nice to people. Trust can get through catastrophe. Impact takes work. It is never too far gone to salvage. We can deliver anything. Unprecedented outcomes come from unconstrained thinking.

Position overview:

As a Research Scientist you will leverage your deep understanding of scientific methodologies, e.g. operations research (OR), Machine Learning (ML), software engineering, and problem solving to innovate scalable, robust models aimed at tacking some of our clients novel challenges. You’ll spearhead the entire model development process, working with our econometricians and engineers to scope solutions, build and train models, and partner with engineering teams to deploy into production environments. We are a consultancy where traditional reporting lines are not clearly demarcated. Because we operate like a startup the most successful candidates will have a broad range of production science model development skills, flexibility to wear many hats, and an enthusiasm to learn and teach along the way.

Role and Responsibilities:

In your role as a Research Scientist, you will be instrumental in developing and deploying cutting-edge machine learning models and software applications to deliver these models. You will initiate and lead studies that will drive decision making on an extreme scale for our customers.

Your primary responsibilities will include:

• Collaborating with cross-functional teams to identify business challenges and opportunities for applying machine learning techniques.
• Designing, implementing, and testing machine learning models to extract valuable insights from large and complex datasets
• Conducting thorough data analysis and pre-processing to ensure high-quality input for the models
• Integrating machine learning solutions into existing systems and processes and scaling them for real-world applications
• Contributing to the development of proprietary machine learning models/tools and frameworks
• Continuously improve CI/CD and testing frameworks
• Continuously researching and staying updated on the latest advancements in machine learning and AI technologies

 Basic Requirements:

• PhD or Master's degree and 5+ years of experience as a Research Scientist with solid knowledge in Operations Research, Generative AI, Applied Mathematics, or highly related field
• In-depth familiarity with optimization, stochastic modeling, and algorithm design
• Proficiency in programming languages such as Python, R, or Java, and experience with machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn)

Preferred Qualifications:

• Knowledge of inventory management and transportation network optimization.
• Experience communicating qualitative research methods and findings to non-qualitative researchers
• Familiarity with the implementation of econometrics methods including double machine learning, time series analysis, and optimization techniques
• Strong problem-solving skills and the ability to work independently in a dynamic environment
• A strong academic background ideally with related publications

US Salary Range: $175,000 - $257,500, plus an annual discretionary bonus, 401k contribution, and competitive benefits package. Actual compensation within the range will depend upon the level the individual is hired at based on their skills, experience, qualifications.