Data Scientist
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Job Description
Data Scientist building ML, NLP, and LLM solutions for CodeRoad, a technology execution partner. Analyzing supply-chain data to optimize costs, rates, invoices, and logistics decisions.
Responsibilities:
- 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 NLP, embeddings, and LLMs to extract insights from unstructured supply chain documents, logistics contracts, and business data
- Prepare datasets and develop feature engineering workflows
- Support model deployment, monitoring, and automated retraining
- Clean, transform, and analyze transactional datasets
- Identify patterns, evaluate shipping trends, compare carrier rates, and support cost optimization and contract negotiation decisions
- Use SQL, statistical analysis, and data visualization to communicate findings and provide actionable recommendations
- Implement data quality checks and validate analytical results
- Monitor model performance and follow security and governance standards across cloud data environments
- Experiment with AI tools, libraries, and techniques to improve analytical workflows and automate repetitive tasks
- Collaborate with AI and software engineers and cross-functional teams
Requirements:
- 1–3 years of professional experience in data science, machine learning, applied statistics, or a related analytical role
- Hands-on experience working on real-world datasets and analytical projects
- 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
- Experience writing SQL queries to retrieve, transform, and analyze data from relational databases
- Familiarity with Microsoft SQL Server or PostgreSQL is preferred
- 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
- 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
- Proactive mindset toward exploring and applying AI tools
- Strong problem-solving skills and attention to detail
- Ability to work with complex datasets, validate assumptions, and draw meaningful conclusions
- Comfortable taking initiative, learning independently, and collaborating with cross-functional teams
- Good English communication skills, both written and verbal
- Ability to explain analytical findings and technical concepts clearly to non-technical stakeholders
Benefits:
- 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.
- Agentic AI tools and training
- Coursera Enterprise
- Studio practice labs
- High-touch onboarding
- Transparent leadership communication
- Community recognition
- Psychological safety
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