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CodeRoad - Data Scientist

Remote - USA4d ago

Requirements

• 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. • Python & Data Science Fundamentals: • 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. • SQL & Database Knowledge: • 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. • Machine Learning & AI: • 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. • Cloud & Analytics Tools: • 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. • AI-Driven Problem Solving: • 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. • Analytical Thinking & Ownership: • 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. • Communication & Collaboration: • 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?

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. • Develop & Improve Machine Learning Models: • 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. • Build & Maintain Data Pipelines: • 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. • Conduct Exploratory & Scenario Analysis: • 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. • Translate Data into Business Insights: • 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. • Maintain Data Quality & Model Performance: • 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. • Explore & Adopt Emerging AI Tools:

Benefits

• 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. • High-Velocity Work & Client Exposure: • Career Continuity & Long-Term Opportunity: Your career here can outlast any single project. Continuous multi-project pipeline; long-tenure CodeRoaders. • Career Continuity & Long-Term Opportunity: • 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. • Engineering Autonomy & Technical Mastery: • 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.