Data Scientist

CodeRoad Inc; United States; Remote; USD 120,000 - 170,000; Full time

Benefits offered by this job

100% remote work

USD compensation

Paid time off

Health insurance assistance

Opportunity with US-based clients

Job summary

CodeRoad Inc, a technology execution partner, seeks a Data Scientist to design and productionize ML models and NLP solutions for US client projects. You will build scalable data pipelines, run scenario analyses, and present insights to business partners.

You will work with Python, SQL, NLP tech, and cloud ML tools in a remote setup, collaborating with cross-functional teams on high-impact use cases for North American clients.

Qualifications

• Proven experience building end-to-end ML models on large transactional datasets.
• Strong SQL querying skills across MS SQL Server and PostgreSQL.
• Hands-on NLP, embeddings, and LLM experience.
• Proficiency with Python and standard data science libraries.
• Experience with cloud ML platforms and data visualization tools.

Responsibilities

• Develop and deploy predictive ML models for anomaly detection, forecasting, and classification.
• Apply NLP, embeddings, and LLM techniques to unstructured documents.
• Build scalable data pipelines and model monitoring workflows.
• Conduct exploratory and scenario analyses to inform strategies.
• Translate data insights into actionable business recommendations.
• Ensure governance, quality checks, and security across cloud data platforms.

Skills

Python

SQL

NLP & embeddings

ML modeling

Cloud ML tools

Tools

MS SQL Server

PostgreSQL

Azure ML Studio

Azure AI Foundry

Power BI

Tableau

Python plotting libraries

Job description

Engagement Type: [Full-Time / Contractor]

Data Scientist

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?