Data Scientist

Engagement Type: [Full-Time / Contractor]
About CodeRoad
CodeRoad is a technology execution partner trusted by companies across North America since 2002. We work alongside our clients to engineer, modernize, and scale the technology that powers their businesses, combining deep technical expertise, specialized teams, and shared accountability for outcomes. Our capabilities span product engineering, platform engineering, legacy modernization, and AI engineering.
Our engineers, designers, delivery leaders, and technology specialists collaborate through Velocity Studios: specialized teams developed within CodeRoad to deliver complex technology initiatives. Being assigned to a project means you become part of a collaborative environment where you can strengthen your expertise, take ownership of meaningful work, and grow alongside experienced professionals.
Why Build Your Career at CodeRoad?
High-Velocity Work & Client Exposure: We work close to the technology, teams and roadmaps that move real outcomes. Direct engagement with U.S. client teams and roadmaps.
Career Continuity & Long-Term Opportunity: Your career here can outlast any single project. Continuous multi-project pipeline; long-tenure CodeRoaders.
Engineering Autonomy & Technical Mastery: We invest in the skills that shape what's next. Agentic AI tools and training, Coursera Enterprise, Studio practice labs, L1-L7 Career Framework.
High-Trust Employee Experience: You grow in an environment built on trust, transparency and recognition. High-touch onboarding, transparent leadership communication, community recognition, psychological safety.
Key Responsibilities
Develop & Deploy Predictive Machine Learning Models: Design, validate, and deploy production-grade statistical and machine learning models for anomaly detection, cost forecasting, rate modeling, and invoice classification.
Apply Modern NLP & LLM Techniques: Leverage Natural Language Processing (NLP), embeddings, and Large Language Models (LLMs) to extract structured insights from complex, unstructured supply chain documents and logistics contracts.
Build & Productionize Data Pipelines: Partner directly with AI and software engineers to build scalable feature engineering pipelines, model monitoring systems, and automated retraining workflows.
Conduct Advanced Exploratory & Scenario Analysis: Clean and analyze large-scale transactional datasets, designing experimental scenario models to optimize shipping trends, carrier rate comparisons, and contract negotiations.
Translate Data into Business Strategy: Query enterprise databases with advanced SQL, crafting clear data visualizations and executive presentations to translate complex findings into actionable business solutions.
Maintain Governance & Model Performance: Enforce rigorous data quality checks, statistical validations, and security standards across cloud data platforms.
What You Bring
Core Experience: Proven track record in data science, developing end-to-end machine learning models and statistical solutions for complex, high-volume transactional data.
Technical Stack Expertise: Deep proficiency in Python and standard data science libraries (pandas, NumPy, scikit-learn, statsmodels).
Advanced Database & Querying Skills: Expertise in writing complex SQL queries across MS SQL Server and PostgreSQL architectures.
Modeling & AI Specialization: Strong foundation in machine learning techniques (regression, classification, time series forecasting, clustering) combined with hands-on exposure to NLP, embeddings, and LLM techniques.
Cloud & Analytics Tools: Experience using cloud ML platforms (Azure ML Studio / Azure AI Foundry preferred) and data visualization tools (Power BI, Tableau or Python plotting libraries).
Communication & Ownership: Fluent English (written and verbal) with the ability to articulate complex data insights to non-technical business partners and drive analytical initiatives independently.
What You’ll Love
USA Contractor / 100% Remote
Competitive Pay (USD)
Holidays Off & Paid Time Off
Health insurance assistance program
Opportunity to work with high-growth US-based companies and cutting-edge tech stacks.
Ready to Build What Actually Ships?
Explore opportunities and submit your application today!