--- title: 'Data Scientist at CodeRoad' canonical: 'https://feeny.ai/job/data-scientist-coderoad-latin-america-n7hea0nyj9ea' type: 'job' last_seen: '2026-10-29' --- # Data Scientist at CodeRoad - **Company:** CodeRoad - **Location:** Latin America - **Work type:** remote - **Posted:** 2026-10-19 - **Last confirmed live:** 2026-10-29 - **Apply:** https://job-boards.greenhouse.io/coderoad/jobs/4458093009 ## Job description 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 & Improve Machine Learning Models: Build, test, and refine machine learning and statistical models to identify anomalies, forecast costs, analyze shipping rates, and classify invoices. Evaluate model performance and contribute to improving predictive accuracy. - Apply AI, NLP & LLM Techniques: Explore and apply Natural Language Processing (NLP), embeddings, and Large Language Models (LLMs) to extract meaningful insights from unstructured supply chain documents, logistics contracts, and other business data. - Build & Maintain Data Pipelines: Collaborate with AI and software engineers to prepare datasets, develop feature engineering workflows, and support model deployment, monitoring, and automated retraining. - Conduct Exploratory & Scenario Analysis: Clean, transform, and analyze transactional datasets to identify patterns, evaluate shipping trends, compare carrier rates, and support cost optimization and contract negotiation decisions. - Translate Data into Business Insights: Use SQL, statistical analysis, and data visualization to communicate findings clearly and turn complex data into actionable recommendations for business stakeholders. - Maintain Data Quality & Model Performance: Implement data quality checks, validate analytical results, monitor model performance, and follow established security and governance standards across cloud data environments. - Explore & Adopt Emerging AI Tools: Proactively experiment with AI tools, libraries, and techniques to improve analytical workflows, automate repetitive tasks, accelerate experimentation, and identify new ways to solve business problems. ## What You Bring - Relevant Experience: 1–3 years of professional experience in data science, machine learning, applied statistics, or a related analytical role, with hands-on experience working on real-world datasets and analytical projects. - Python & Data Science Fundamentals: Practical experience with Python and common data science libraries such as pandas, NumPy, and scikit-learn. Familiarity with statsmodels or similar statistical tools is a plus. - SQL & Database Knowledge: Experience writing SQL queries to retrieve, transform, and analyze data from relational databases. Familiarity with Microsoft SQL Server or PostgreSQL is preferred. - Machine Learning & AI: A solid understanding of machine learning concepts, including regression, classification, clustering, and time series forecasting. Exposure to NLP, embeddings, and LLMs is highly desirable, particularly through hands-on projects or practical applications. - Cloud & Analytics Tools: Familiarity with cloud-based machine learning or AI platforms, preferably Azure Machine Learning or Azure AI Foundry. Experience with Power BI, Tableau, or Python visualization libraries is an advantage. - AI-Driven Problem Solving: A proactive mindset toward exploring and applying AI tools to improve productivity, automate repetitive analytical tasks, accelerate experimentation, and develop creative solutions. Curiosity, initiative, and a willingness to learn and experiment with emerging AI technologies are especially valued. - Analytical Thinking & Ownership: Strong problem-solving skills, attention to detail, and the ability to work with complex datasets, validate assumptions, and draw meaningful conclusions. Comfortable taking initiative, learning independently, and collaborating with cross-functional teams. - Communication & Collaboration: Good English communication skills, both written and verbal, with the ability to explain analytical findings and technical concepts clearly to non-technical stakeholders. ## 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!](https://job-boards.greenhouse.io/coderoad) ## About CodeRoad ## Company Overview - **One-liner**: CodeRoad is a next-generation technology execution partner that delivers nearshore software development, AI engineering, and digital transformation services through its Velocity-as-a-Service™ model. - **Entity Type**: Private (bootstrapped / internally funded – no external funding rounds publicly disclosed) - **Headquarters**: Not publicly disclosed; delivery hubs across 14 countries in Latin America with US-based leadership team. First delivery center opened in La Paz, Bolivia (2008). - **Founded**: 2002 - **Founders**: Not publicly named; leadership team includes Dennis Odishoo (CEO & Partner), Todd Workman (COO & VP of Sales), Marcelo Schenone (VP of Delivery & Engineering), and Jess Young (Director of People & Culture). ## Core Business - **Primary industries**: Software engineering services, AI engineering, digital transformation consulting, nearshore outsourcing. - **Target customers**: Enterprise and mid-market companies (B2B) across luxury retail, financial services, automotive, and enterprise software. - **Mission**: “Empower organizations to accelerate technology delivery through AI-ready systems and end-to-end software solutions that foster innovation, seamless integration, and measurable business impact.” ## Products & Services - **Velocity-as-a-Service (VaaS)**: Outcome-based delivery model combining elite nearshore engineers, AI-powered development systems, and senior-led delivery pods. Measures success through execution performance and business value, not just staffing. - **AI Engineering**: AI readiness assessments, agentic workflows, production deployment of AI/ML models, and AI-native delivery – built with secure-by-design governance (SOC2, HIPAA, PCI-DSS). - **Nearshore Software Development**: Senior-led pods operating in U.S. time zones, providing full-stack, backend, frontend, mobile, DevOps, data engineering, and QA automation. - **Digital Transformation**: Modernization of legacy systems, platform migration, and strategic execution of large-scale transformation programs with embedded architects and product leaders. ## Market Standing - **Valuation / Funding**: Not publicly available (no disclosed valuation or funding rounds). - **Key Metrics**: - Client satisfaction rating: 4.8/5 - Client retention: over 80% of clients stay beyond 5 years - 20+ years of SDLC execution experience - Delivery footprint across 14 Latin American countries - **Notable Clients / Partners**: Historical clients include GM, Ford, and Whirlpool (from early supply chain platform). Current clients span luxury retail, financial services, automotive, and enterprise software (specific names not disclosed). - **Growth Signals**: - 36 active job openings as of July 2026 (Senior AI Engineer, MLOps, Delivery Director, etc.) - Expanding AI engineering and agentic workflow capabilities - Nearshore 3.0 model embedding talent, product leadership, and delivery accountability ## Competitive Advantages - **Velocity-as-a-Service™ model** – moves from hiring to active production in weeks, not months, with outcome-based accountability. - **Nearshore advantage** – LATAM engineers aligned to U.S. business hours, same time zone, cultural alignment, and cost efficiency. - **Senior-led delivery pods** – experienced engineering leaders co-own delivery outcomes, not just staff augmentation. - **Secure-by-design** – SOC2, HIPAA, and PCI-DSS built into architecture from day one, eliminating costly compliance retrofits. - **Long-term partnerships** – over 80% retention for 5+ years demonstrates trust and consistent value delivery. - **AI-powered SDLC** – agentic AI embedded into workflows, multi-agent systems for automation, and real-time performance dashboards. ## Strategic Focus - Scaling the Velocity-as-a-Service model as the primary go-to-market offering. - Deepening AI engineering capabilities (agentic workflows, production AI deployments, ML pipelines). - Expanding nearshore delivery capacity across more LATAM countries while maintaining senior talent density. - Helping enterprise clients move from AI experimentation to measurable business outcomes. - Continuing to differentiate from traditional staff augmentation by embedding product leadership and delivery accountability. ## Why Work Here - **Remote-first work model** – engineers can work from home across Latin America. - **Competitive compensation**: Salaries paid in USD, plus health insurance assistance, paid vacation/holidays. - **Career growth & learning**: Quarterly bootcamps, tech summits, mentorship programs, training and educational reimbursement. - **High-impact projects**: Work on complex, real-world challenges for global industry leaders, building AI systems and modern platforms. - **Culture**: “People-first” environment with a diverse global team, emphasis on collaboration and continuous innovation. - **Senior talent density**: Opportunity to work alongside experienced engineering leaders and product managers. - **Work schedule**: Aligned to U.S. business hours, enabling close collaboration with North American teams. ## Sources 1. [coderoad.com](https://coderoad.com/) 2. [coderoad.com/about-us](https://coderoad.com/about-us) 3. [coderoad.com/careers](https://coderoad.com/careers) 4. [job-boards.greenhouse.io/coderoad](http://job-boards.greenhouse.io/coderoad) 5. [linkedin.com/company/coderoad-inc](https://www.linkedin.com/company/coderoad-inc) ## Other roles at CodeRoad - [Senior FullStack Developer (Backend oriented)](https://feeny.ai/job/senior-fullstack-developer-backend-oriented-coderoad-latin-america-sd1efbnyvqys) — Latin America - [Lead Salesforce Admin](https://feeny.ai/job/lead-salesforce-admin-coderoad-latin-america-v8nfh6k482kv) — Latin America - [Data Engineer - Support Project L2](https://feeny.ai/job/data-engineer-support-project-l2-coderoad-latin-america-bg2q2r7w5ecd) — Latin America - [Fullstack Developer (Python/ React)](https://feeny.ai/job/fullstack-developer-python-react-coderoad-latin-america-393jaw9n7vew) — Latin America - [Sr Fullstack Developer (Python/ React)](https://feeny.ai/job/sr-fullstack-developer-python-react-coderoad-latin-america-ax6tkhnen931) — Latin America - [Data Engineer](https://feeny.ai/job/data-engineer-coderoad-latin-america-wg6sg1f60xyh) — Latin America - [Data Engineer](https://feeny.ai/job/data-engineer-coderoad-latin-america-vvg6ys00h3wz) — Latin America - [Senior AI Product Owner](https://feeny.ai/job/senior-ai-product-owner-coderoad-latin-america-1t6nahefztan) — Latin America - [Mid Azure DevOps Engineer](https://feeny.ai/job/mid-azure-devops-engineer-coderoad-latin-america-k1es9kefh6fs) — Latin America - [Lead Agentic AI Engineer](https://feeny.ai/job/lead-agentic-ai-engineer-coderoad-united-states-xsvbcx1z5z1d) — United States