• Design and implement LLM-powered applications • Build and optimize end-to-end ML pipelines • Develop Agentic AI workflows • Integrate LLMs with traditional ML systems

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description Join our Data Science Team! Our collaborative and diverse data science team has experience that spans many industries including energy, retail, healthcare, and DoD. Our projects have ranged from natural language processing (NLP) and text analytics to machine learning, predictive analytics, and simulation modeling. We are looking for a data scientist who is career-oriented and eager to grow their skills. The ideal candidate will bring innovative use of scientific research concepts, principles, and practices and will contribute to the application of advanced data science methods and techniques. Do you have what it takes? Are you driven to implement creative solutions that unravel complex and ever-changing challenges? We value passion, curiosity, and perseverance with an ability to communicate ideas and results to diverse audiences. We look for people who thrive in collaborative and independent assignments, have the aptitude to learn new data quickly, and who are willing to mentor junior team members. - Integrates and extracts relevant information from large amounts of both structured and unstructured data to enable analytical solutions - Conducts advanced analytics leveraging predictive modeling, machine learning, simulation, optimization, and other techniques to deliver insights or develop analytical solutions to achieve business objectives - Experience with data sourcing, data cleansing, and data preparation - Mastery with the Python programming language and significant experience using Python’s data analysis and machine learning libraries such as pandas, numpy, scipy, scikit-learn, gensim, and spaCy - Outstanding problem-solving and critical thinking skills - Innovative, creative, out-of-box thinking - Experiment design and algorithm development - Excellent verbal and written communication skills and the ability to interact professionally with executives, managers, and subject matter experts - Develops and implements new research objectives, establishes project priorities, defines methods of approach, executes the study, and provides scientific conclusions - Presents data insights and recommendations to key stakeholders Qualifications - B.S. in Computer Science, Information Technology, Statistics, Analytics, Mathematics, Engineering or related scientific field - Minimum of seven (7) years of experience performing data science in corporate setting - Must have or be willing to obtain Secret Clearance (this requires US Citizenship) - Acceptable candidates must successfully pass a drug test and background screen Requirements - Collaborative coding experience and competency with Git - Experience integrating Machine Learning applications into production pipelines as well as monitoring and retraining models - Experience with Big Data concepts, tools, and architecture (data warehousing, data lakes, etc.) such as Hadoop, Hive, Pig, Hue, MongoDB, etc. - Experience with deep learning frameworks like Pytorch, Tensorflow, caffe, caffe2, h2o or any other machine learning - M.S. and/or Ph.D. in engineering, computer science, or related scientific discipline preferred Location and Travel Details - Dayton, Cincinnati, or Remote Benefits - Market competitive salary - Generous PTO package - Comprehensive medical, dental, vision and life insurance plans - 401K - Short/long-term disability insurance - Fun and engaging culture - Training opportunities to keep you up to speed on the latest technologies Company Description At Illumination Works, we know data, and we should, we’ve been doing it since we started in 2006! We specialize in everything data from big data to data science, software engineering, data management, AR/IoT, and cloud development. Illumination Works is a trusted technology partner in user-centered digital transformation—delivering impactful business results to clients. We partner with customers to solve their unique technology and data challenges, and stay on top of modern technologies and advancements leveraging our Innovation Lab. Illumination Works is committed to hiring and retaining a diverse workforce. We are an Equal Opportunity Employer, making decisions without regard to race, color, religion, sexual orientation, gender identity or national origin, age, veteran status, disability, or any other protected class. Acceptable candidates must successfully pass a drug test and background screen.

• Design, develop, and deliver data-driven and AI-based solutions for enterprise use cases • Translate business problems into robust data science and machine learning approaches • Prepare, clean, and analyse structured and unstructured data • Perform feature engineering and select appropriate modelling techniques • Build, train, evaluate, and optimise machine learning models using Python or R • Develop proof-of-concepts and evolve them into production-ready solutions • Implement and improve Generative AI solutions, including RAG and LLM-based pipelines • Evaluate model outputs and continuously improve quality, relevance, and reliability • Contribute to technical design discussions and solution architecture • Collaborate closely with engineers, product teams, and customer stakeholders

• Develop and implement statistical models and machine learning solutions to solve real-world business problems • Analyze large, messy datasets and apply rigorous data cleaning, feature engineering, and validation techniques • Build predictive and descriptive models to identify trends, patterns, and opportunities • Design and execute experiments (A/B tests, hypothesis testing, model evaluations) • Partner with stakeholders to translate business questions into analytical approaches • Create clear visualizations and narratives that communicate findings to technical and non-technical audiences • Collaborate with data engineers to productionize models and analytics pipelines • Leverage AWS services to build scalable, secure data science solutions