Data Scientist

Your Job

As a Data Scientist, you will solve complex business problems using data science, machine learning, and advanced analytics. You will develop predictive, forecasting, optimization, and decision-analytics solutions that enable better decision-making and deliver measurable business value.

In this role, you will own the end-to-end analytics lifecycle, from problem definition and data exploration through model development, deployment, and performance monitoring. You will work closely with business stakeholders, data engineers, and analytics professionals to build scalable, production-ready solutions that drive meaningful outcomes. While exposure to Generative AI technologies is beneficial, strong foundations in statistics, machine learning, and applied data science are essential for success.

Our Team

You will join a collaborative Analytics and AI team focused on delivering end-to-end solutions across multiple business functions. Our team partners closely with business stakeholders, subject matter experts, data engineers, BI professionals, and AI practitioners to solve high-value business challenges.

This role offers the opportunity to work on real-world problems, influence business decisions, and contribute to solutions that create sustainable value across the organization.

What You Will Do

• Translate business challenges into well-defined analytical and machine learning problem statements.
• Collect, clean, prepare, and analyze structured and unstructured data to uncover actionable insights.
• Perform exploratory data analysis (EDA) to identify patterns, trends, and opportunities.
• Design, build, validate, and optimize predictive, statistical, forecasting, and machine learning models.
• Develop robust feature engineering strategies and evaluate multiple modeling approaches to improve outcomes.
• Assess model performance using appropriate statistical and business metrics.
• Build scalable, reliable, and production-ready analytical solutions.
• Support solution deployment through APIs, applications, automated pipelines, dashboards, and cloud-based platforms.
• Monitor model performance, identify data drift, and implement continuous improvement processes.
• Communicate findings, recommendations, and business insights through clear visualizations and compelling narratives.
• Document methodologies, assumptions, data sources, and model performance to support governance, transparency, and reuse.

Who You Are (Basic Qualifications)

• Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Engineering, Mathematics, Operations Research, or a related quantitative discipline.
• 5+ years of experience in data science, advanced analytics, or applied machine learning.
• Strong programming experience in Python, including libraries such as Pandas, NumPy, scikit-learn, and statistical modeling packages.
• Strong SQL skills and experience working with structured and large-scale datasets.
• Hands-on experience with predictive modeling, forecasting, optimization, or advanced statistical analysis.
• Experience developing and deploying scalable, maintainable, and production-ready solutions.
• Experience working with large, complex, real-world datasets.
• Familiarity with data visualization tools such as Power BI, Tableau, or similar platforms.
• Strong communication, collaboration, and stakeholder management skills.
• Demonstrated ability to translate analytical results into business recommendations.

What Will Put You Ahead

• Experience deploying machine learning solutions on cloud platforms such as AWS or Azure.
• Experience with time-series forecasting, optimization techniques, and advanced statistical modeling.
• Knowledge of MLOps practices including model versioning, monitoring, CI/CD pipelines, and automated retraining.
• Exposure to Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI-assisted analytics solutions.
• Experience building end-to-end data products and decision-support systems.
• Background in engineering, applied statistics, operations research, or related quantitative disciplines.
• Experience influencing business decisions through data-driven insights and scalable analytical solutions.

At Koch companies, we are entrepreneurs. This means we openly challenge the status quo, find new ways to create value and get rewarded for our individual contributions. Any compensation range provided for a role is an estimate determined by available market data. The actual amount may be higher or lower than the range provided considering each candidate's knowledge, skills, abilities, and geographic location. If you have questions, please speak to your recruiter about the flexibility and detail of our compensation philosophy.

Who We Are

At Koch, employees are empowered to do what they do best to make life better. Learn how our business philosophy helps employees unleash their potential while creating value for themselves and the company.

Additionally, everyone has individual work and personal needs. We seek to enable the best work environment that helps you and the business work together to produce superior results.