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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead Software Developer (Data Science) - **Company:** Open Text Corporation - **Location:** Lexington, KY, United States - **Experience:** Expert - **Salary:** $143,400 - $215,000 - **Contract:** Permanent contract - **Skills:** AI Evaluation, Java (Programming Language), .NET Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Automation of Tests, C Sharp (Programming Language), C++ (Programming Language), Code Review, Information Systems, Databases, Computer Engineering, Continuous Integration, Data Cleansing, Data Structures, Software Debugging, Python (Programming Language), Machine Learning, Natural Language Processing, NumPy, Object-Oriented Software Development, Software Architecture, Regression Testing, Tensorflow, Search Technologies, Secure Coding, Software Engineering, Systems Integration, Unstructured Data, Enterprise Software Applications, Feature Engineering, Data Ingestion, Pytorch, Retrieval-Augmented Generation, Delivery Pipeline, Large Language Models, Model Validation, Pandas, Scikit Learn, Information Technology, OpenText, Data Analytics - **Published:** November 8, 2026 - **Apply:** https://www.careerbuilder.com/job-details/lead-software-developer-data-science-lexington-ky--d3059c0e-80de-49b9-87d4-e211b79fbede ## About the Role Software Development, Data Science, Artificial Intelligence (AI), Software Development, Data Science, Communication Skills, Customer Experience, Customer Relations, Enterprise Applications, Product Development, * Bachelor''s or Master''s degree in computer science, software engineering, computer engineering, information systems, or a related field, or equivalent practical experience. * 7-8+ years of professional software development experience, including experience leading the technical delivery of complex software initiatives. * Strong proficiency in Java, C/C++, C#, .NET, Python, or similar. * Demonstrated experience with software architecture, object-oriented design, APIs, data structures, debugging, testing, and the full software development lifecycle. * Proven ability to troubleshoot complex product and customer issues, perform root-cause analysis, and deliver durable corrective solutions. * Experience delivering enterprise software with high standards for reliability, performance, scalability, security, and maintainability. * Experience applying statistical analysis, experimentation, and machine learning techniques to solve complex product or customer problems. * Proficiency with Python and common data science libraries such as pandas, NumPy, scikit-learn, PyTorch, or TensorFlow. * Experience preparing and analyzing structured and unstructured datasets, including data cleaning, transformation, feature engineering, and data quality validation. Preferred Qualifications * Experience with cloud platforms, containers, CI/CD pipelines, observability, and secure software supply-chain practices. * Machine learning knowledge, including data preparation, model development or integration, model performance measurement, and responsible use of ML-based capabilities. * Experience with AI evaluation (AI Evals), preferably designing repeatable evaluation datasets and rubrics, measuring quality and safety, comparing model or prompt versions, analyzing failure modes, and integrating automated evaluations into CI/CD workflows. * Experience moving data science and machine learning prototypes into production, including automated pipelines, API integration, deployment, observability, and model performance monitoring. * Experience with natural language processing, embeddings, vector search, retrieval-augmented generation, large language models, or multimodal AI systems. * Experience designing repeatable AI evaluations using representative datasets, clear rubrics, automated metrics, human review, failure-mode analysis, and regression testing. ## Description We are looking for a Lead Software Developer specializing in Data Science to join the OpenText Communications Product Development organization. In this role, you will provide hands-on technical leadership while designing, developing, testing, troubleshooting, and delivering enterprise software used by customers across complex environments. You will work across the full software lifecycle and partner closely with development, quality assurance, documentation, support, product management, and project management. The successful candidate combines strong software engineering depth with sound architectural judgment, customer focus, and the ability to lead teams through ambiguous and time-sensitive technical challenges. What the role offers: * Lead the architecture, design, implementation, testing, and delivery of high-quality software that is scalable, high-performing, secure, maintainable, and robust. * Provide hands-on technical direction for complex features, customer issues, product modernization, and cross-component initiatives. * Diagnose and resolve difficult software problems across application code, integrations, databases, operating systems, and deployment environments. * Raise engineering quality through design reviews, code reviews, automated testing, observability, secure development practices, and continuous improvement. * Mentor developers, share technical expertise, and help establish practical engineering standards and patterns across the team. * Collaborate with stakeholders to clarify requirements, assess trade-offs, manage technical risk, and communicate recommendations and status clearly. * Lead the design and implementation of data-driven capabilities, including data ingestion, feature engineering, model integration, inference workflows, and production monitoring. * Establish practical standards for data quality, experiment design, model evaluation, reproducibility, documentation, and responsible AI development. * Define meaningful success metrics for data science initiatives and communicate findings, limitations, risks, and recommendations to technical and nontechnical stakeholders., AI Usage Disclosure: As part of our commitment to transparency, we use artificial intelligence (AI) tools to assist in various stages of our recruitment process, including resume screening, candidate matching, interview scheduling, and communications. These tools are designed to improve efficiency, reduce bias, and enhance candidate experience. All decisions regarding hiring are made by qualified human professionals, and we continuously monitor our AI systems to ensure fairness and compliance with applicable regulations.