• Lead complex data analysis projects from conception to delivery • Design and develop advanced SQL queries, data models, and automated reporting solutions • Create sophisticated data visualizations and interactive dashboards • Architect and implement Python-based data analysis workflows

• Set the company-wide strategy for product analytics, business metrics, and GTM insights • Define the core measurement frameworks for product usage, activation, retention, expansion, and customer value • Ensure analytics meaningfully influence product roadmap decisions, GTM strategy, and operational planning • Oversee the delivery of trusted dashboards, reporting, and self-serve analytics used by executives and functional leaders • Establish standards for metric definitions, data quality, and analytical rigor across the organization • Lead the data engineering strategy in close partnership with data engineers • Set expectations and priorities for how data engineering supports analytics, product insights, and ML use cases • Ensure the data foundation (ingestion, modeling, storage, governance) scales with the business and product needs • Act as the primary stakeholder for analytics requirements, guiding architectural decisions without owning day-to-day pipeline development • Own the vision and prioritization for customer-facing analytics and insight products (benchmarks, insight cards, modeled datasets, ML/AI features) • Partner with Product and Engineering to ensure these capabilities drive differentiation and customer value • Balance experimentation and innovation with delivery of durable, scalable data products • Lead and scale the analytics and ML organization; define roles, career paths, and team structure • Hire and develop senior talent who can operate autonomously and influence cross-functionally • Create clear operating rhythms, planning processes, and success metrics for the data organization • Foster a culture of accountability, curiosity, and outcome-driven execution • Own the data roadmap and prioritize initiatives based on business impact and strategic goals • Partner closely with Product, Engineering, GTM, Finance, and CS leadership to align on data priorities • Define and track data and analytics KPIs; ensure leadership has visibility into performance and outcomes • Guide vendor strategy and build-vs-buy decisions across analytics and ML tooling

• 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.