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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - **Company:** COMPONENTWISE SOLUTIONS, INC. - **Location:** United States (Remote available) - **Salary:** $80,000.0 - $150,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Amazon S3, Business Analytics Applications, Data Analysis, Automation of Tests, Big Data, Code Review, Continuous Integration, Distributed Systems, Github, Monitoring of Systems, Apache Hive, Python (Programming Language), Machine Learning, E2e Testing, Cloud Services, DataOps, Azure Machine Learning, SQL Databases, Systems Integration, Pytorch, Large Language Models, Prompt Engineering, Apache Spark, Pandas, Event Driven Architecture, Pytest, Ansi Sql, Kubernetes, Data Analytics, Xgboost, Machine Learning Operations, Splunk, New Relic (SaaS), Databricks, Microservices - **Published:** May 21, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=46e8688f1ca57fa1 ## About the Role Do you have experience in Machine intelligence?, Do you have a Bachelor's degree?, * Bachelor's degree in data science or a related technical field, or equivalent practical experience * Experience building machine learning models using Python or R * Experience with data analysis using Python or R * Hands on experience with SQL and data frames (Pandas, Spark, etc.). * Understanding of data science fundamentals, machine learning lifecycle, deployment and monitoring best practices * Strong communication and collaboration skills * Ability to learn quickly and adapt to evolving technologies and mission needs * US citizenship and ability to obtain and maintain DHS suitability Additional Experience That's Helpful * Building analytics solutions in Databricks * Working with AWS services like S3, Bedrock, Textract, Comprehend, etc. * Experience with event-driven systems asynchronous AI/ML systems * Develop data-driven solutions in DataOps and MLOps processes * Model monitoring in production and automated retraining * Prompt engineering using latest foundation models * Experience with text extraction, NER and NLP ## Description We are hiring across multiple experience levels, from early-career data scientists to experienced senior contributors. Responsibilities, technical scope, and ownership will scale based on experience and demonstrated capability. You will join a collaborative data science team responsible to build AI/ML solutions for one of the federal government's largest case management ecosystems. The platform includes more than 100 production microservices, petabytes of data and a broad network of integrations across federal agencies and interagency partners. Depending on experience level, you may contribute to existing machine learning models, develop new models, add model monitoring, modernize existing solutions or lead innovation using latest models, cloud services and GenAI technology. This role is ideal for data scientists who enjoy solving complex technical problems, learning continuously, and building solutions that operate at large scale. What You'll Do * Contribute to the development and maintenance of existing machine learning models and their associated Python libraries. * Build new models using frameworks and libraries like PyTorch, Transformers, XGBoost, etc. * Perform Exploratory Data Analysis (EDA) on big data using Python and Spark. * Create solutions that use and ensemble to custom models and integrate with AWS cloud AI/ML services like Textract, Comprehend and Bedrock. * Develop automation for model monitoring for new and existing solutions. * Write and maintain unit, integration, and end-to-end tests for Python libraries. * Participate in monitoring, troubleshooting, and operational support appropriate to experience level * Collaborate with data engineers, developers, product owners, and government stakeholders to deliver mission-critical capabilities * Contribute to secure, maintainable, and well-tested software throughout the development lifecycle Core Technologies * Python, Spark * PyTorch, Sckit-learn, Transformer, NLP, NER * LLM, Foundation models, GenAI, Claude * Databricks, AWS * ANSI SQL, Spark SQL, SQL, Databricks Delta * Databricks MLflow, model registry * Kubernetes, Helm, ArgoCD * GitHub Actions, Harness * New Relic, Splunk * Pytest, unittest, * Small collaborative teams with high ownership * PR-based development and peer code review * Automated testing and CI/CD by default * Data scientists contribute to architecture and operational decisions * Sustainable pace over hero culture * Focus on maintainability, reliability, and long-term system health Data scientists at all levels are encouraged to contribute ideas, grow their technical depth, and take on increasing ownership over time. We value curiosity, strong fundamentals, sound judgment, and a willingness to learn as much as prior experience with any specific technology. Why Join Us * Work on systems that operate at global scale * Solve technically challenging distributed systems problems * Collaborate with experienced engineers in a low-ego environment * Build AI/ML solutions with measurable real-world impact * Join a team with strong long-term retention and meaningful ownership opportunities Our strongest hires have not always come with every skill on the list. What they shared was a strong data science foundation and the kind of intellectual curiosity that makes hard problems feel like opportunities. If that is how you think, we want to talk. This position requires the ability to obtain and maintain a DHS suitability determination. US citizenship is required. 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