Company: Delta Defense
Job description: Job Category: Business AnalyticsRequisition Number: DATAS001798Job Details DescriptionJoin our dynamic Advanced Analytics team as a Data Scientist, where your expertise will shape the future of decision-making at our company. In this pivotal role, you'll harness the power of data to influence strategic and operational outcomes.Your passion for transforming complex data into actionable insights will drive the development of agentic AI solutions and elevate our advanced analytics capabilities to new heights. We seek an innovative thinker who thrives in a collaborative environment, with a deep understanding of prescriptive analytics, machine learning, and the latest generative AI technologies.As a Data Scientist, you'll contribute directly to the USCCA mission by transforming data into insights that help safeguard life, freedom, and finances for responsible American gun owners. Few roles in data science offer this level of tangible, socially relevant impact.Is creating scalability the professional challenge you've been missing? Are you ready to transform your career and make Mondays something to look forward to? If that's a heck yeah! we want to hear from you!Essential Duties & Responsibilities:
- Project & Stakeholder Collaboration:
- Partner with business stakeholders and IT teams to define project scopes, technical requirements, success criteria, and delivery milestones.
- Manage execution through clear documentation, solution design, testing, deployment, and knowledge transfer.
- Translate complex technical work into clear business outcomes, including presentations and reports tailored for non-technical audiences.
- Algorithm & Solution Development:
- Design, develop, and deploy predictive/prescriptive analytics models (optimization, simulation, heuristics) in direct support of strategic decision-making and operational efficiency.
- Build scalable machine learning pipelines, including feature engineering, training, evaluation, and monitoring.
- Develop generative AI-powered solutions for summarization, content generation, personalized recommendations, and decision support.
- Explore and build agentic AI systems that can autonomously plan, reason, and act across tasks and tools.
- Implement robust, secure, and compliant data science solutions that evolve as business needs and data sources change.
- Technical Excellence:
- Engineer scalable, production-ready solutions using Snowflake, Databricks, AWS, or Azure.
- Apply advanced optimization and machine learning techniques across structured, unstructured, and semi-structured data.
- Monitor, retrain, and continuously improve models through automated MLOps pipelines and clear performance metrics.
- Create intuitive dashboards, data visualizations, and reports to deliver actionable intelligence to diverse stakeholders.
- Operational Support:
- Provide high-quality, timely support for production models and analytics products.
- Collaborate with fellow Data Scientists, Engineers, and Business Analysts to ensure a resilient and scalable analytics platform.
- Bachelor's degree in Data Science, Computer Science, Mathematics, Operations Research, or a related field required. Master's degree preferred.
- 3 to 5 years of experience building full-cycle data science and machine learning solutions.
- Expertise with machine learning libraries: PyTorch, TensorFlow, scikit-learn, and deep understanding of model lifecycle management. Strong command of the tools for building machine learning models.
- Proficient in Python (Pandas, NumPy, scikit-learn, PyTorch) and advanced SQL.
- 2 to 3 years of experience with big data platforms: Snowflake, Databricks or Spark.
- Solid understanding of probability theory, statistical testing, and model validation.
- Strong writing skills and verbal communication; able to translate technical work for business stakeholders.
- Ownership mindset, proactive problem-solving ability, and commitment to team success
- Demonstrates the Core Values of Delta Defense, LLC.
- Experience building and deploying Generative AI applications, e.g., LLM (Large Language Model) fine-tuning, prompt engineering, RAG (Retrieval-Augmented Generation) systems.
- Exposure to agentic AI systems (e.g., autonomous agents, tool usage frameworks, multi-step reasoning models). Able to implement large language models.
- Familiarity with MLOps (Machine Learning Operations) platforms: MLflow, Snowpark or ML Kubeflow and experience deploying models into production (e.g., REST APIs via Flask or FastAPI).
- Certifications in Snowflake, Databricks AWS or Azure.
- Prior experience working in regulated industries (e.g., defense, healthcare, finance).
- Exposure to advanced simulation, reinforcement learning, or decision-support modeling.
- We are a fun, fast-paced, rewarding place to work and grow!
- Nationally recognized in 2023 and 2024 as a Newsweek Top 100 America's Most Loved Workplace
- Top Workplaces USA award in 2022!
- Named on Inc. 5000 "Fastest Growing Private Companies" list 13 years in a row!
- Milwaukee Journal Sentinel "Top Workplace" award 7 years in a row!
- Milwaukee Business Journal "Best Place to Work" award 6 years in a row!
Expected salary:
Location: West Bend, WI
Apply for the job now! Apply Now