Role Description This role offers a unique opportunity to work at the intersection of data science, software engineering, and public impact by building an innovative proof-of-concept solution aimed at improving critical intake processes. You will leverage advanced machine learning and natural language processing techniques to design and validate a system that enhances decision-making while optimizing resource allocation. Collaborating closely with stakeholders and cross-functional teams, you will help translate complex requirements into actionable solutions. The position involves hands-on development, experimentation, and demonstration of a prototype application in a highly collaborative, Agile environment. Your work will directly contribute to improving outcomes through data-driven insights and technology innovation. This is an ideal opportunity for someone who thrives on solving complex problems with measurable real-world impact. - Design, develop, and implement machine learning models and NLP-driven solutions to improve intake processes and outcomes - Collaborate with stakeholders and technical teams to gather requirements, ensure transparency, and validate statistical soundness - Analyze current workflows, identify inefficiencies, and propose data-driven improvements to optimize resource allocation - Identify, evaluate, and integrate internal and external data sources into the solution architecture - Build and refine a proof-of-concept prototype application using technologies such as Python, Java, C++, SQL, and modern frameworks - Conduct testing, validation, and performance measurement of models and applications in both pilot and simulated environments - Present findings, demonstrate the prototype, and gather feedback through stakeholder workshops and live demonstrations - Ensure data security and compliance, especially when leveraging LLMs or sensitive data sources - Participate actively in Agile development processes to ensure timely and high-quality delivery Qualifications - Bachelor’s or Master’s degree in Computer Science, Engineering, Physics, or a related field - 5+ years of experience in data science, software development, or related roles - Proven expertise in building AI/ML solutions from the ground up, including NLP and LLM integration - Strong foundation in mathematics, including calculus, linear algebra, and statistics; advanced topics are a plus - Experience designing custom machine learning models and statistical methods without heavy reliance on pre-built libraries - Proficiency in programming languages such as Python, C++, Java, and familiarity with frameworks like React, Node.js, and Next.js - Solid experience with databases such as PostgreSQL, MySQL, or SQL Server, and cloud platforms like AWS - Demonstrated experience deploying analytic models in pilot or production environments - Strong understanding of model validation, evaluation metrics, and performance optimization - Excellent communication skills with the ability to engage both technical and non-technical stakeholders - Experience working in public sector or regulated environments is highly preferred Benefits - Competitive compensation package - Paid sick leave - Comprehensive health coverage including medical, dental, vision, and life insurance - 401(k) plan with employer matching - Health Savings Account (HSA) options - Short-term and long-term disability coverage - Inclusive and equal opportunity workplace supporting diversity and accessibility

Role Description We are seeking a Freelance Data Scientist with availability to handle multiple projects, who can lead complex data initiatives, design robust models, and influence product and business decisions through data. This position starts as a part-time position and has the potential to become a full-time employee depending on performance. Hourly salary will be determined based on experience and skill level. This role requires deep expertise in statistics, machine learning, and data modeling, along with the ability to mentor others, define best practices, and work closely with engineering, product, and leadership teams. Exposure to modern AI and LLM-based systems is a strong plus. Qualifications - Expert-level proficiency in Python (Pandas, NumPy, Scikit-learn) - Strong foundation in statistics, probability, and linear algebra - Extensive experience with machine learning techniques (regression, classification, clustering, time-series, anomaly detection) - Strong hands-on experience with SQL and relational databases - Experience working with large datasets and complex data pipelines - Deep understanding of model evaluation, bias/variance trade-offs, and performance monitoring - Proven experience taking models from development to production Requirements - Lead end-to-end data science projects from problem definition to production deployment - Design, build, and optimize advanced statistical and machine learning models - Analyze large-scale, structured and unstructured datasets to generate actionable insights - Define data science best practices, modeling standards, and evaluation frameworks - Design and analyze experiments (A/B tests, causal analysis, hypothesis testing) - Partner with product, engineering, and business stakeholders to influence strategy and roadmap - Review and improve existing models for accuracy, scalability, and robustness - Mentor junior data scientists and review analytical work - Clearly communicate complex findings to senior stakeholders and leadership - Ensure data quality, reproducibility, and documentation across projects Benefits - Hands-on experience with Large Language Models (LLMs) such as GPT, Claude, LLaMA, or similar - Experience integrating LLM APIs into production systems - Strong understanding of prompt engineering and output evaluation - Experience with embeddings, semantic search, and vector similarity techniques - Knowledge of Retrieval-Augmented Generation (RAG) architectures - Experience working with vector databases (Pinecone, FAISS, Weaviate, Milvus, etc.) - Awareness of AI risks such as hallucinations, bias, security, privacy, and cost optimization Education - Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related field - Equivalent real-world experience is highly valued

• Support large-scale data analysis • Evaluate product and program performance • Enable data-driven decision-making across the organization • Work closely with Product, Engineering, and Business teams to deliver actionable insights • Contribute to the development of reliable internal data infrastructure • Analyze user behavior and engagement trends • Design metrics and analytical frameworks to evaluate feature performance • Develop and deploy models for prediction and segmentation • Build feature pipelines and implement model monitoring • Establish consistent metric definitions and reporting standards • Promote best practices in data governance and reproducible analytics

Discover Your Career at Emory University Emory University is a leading research university that fosters excellence and attracts world-class talent to innovate today and prepare leaders for the future. We welcome candidates who can contribute to the excellence of our academic community. Description JOB DESCRIPTION: - The lead biostatistician must have demonstrated the ability to independently and successfully consult and collaborate on short-term and long-term clinical research studies and demonstrate the skills necessary to serve as key personnel on sponsored research (i.e., serve as a Co-Investigator on a NIH grant). - Thrives in a team science environment. - Substantive input into the overall organization and presentation of clinical manuscripts (prepare first draft of the Results section, write statistical methods section, address reviewer issues about the analysis) Active participation in grant preparation on design and approach plus protocol development and study implementation after funding is an expectation - Reviews and helps prepare statistical and database management sections of NIH grant applications and other externally supported proposals. - Provides input to standard operating procedures development and review and helps ensures good clinical practice guidelines are followed Analyzes data using extensive knowledge of statistical software (SAS, R). - Administrative roles include recruiting, training, supervising, evaluating and retaining masters¿ level staff. - Mentor or teach one-on-one, and provide ad hoc training and targeted lectures as required to build a collaborative program - Acts as a lead statistician for clinical research projects; - Participates in protocol team conference calls and meetings - Assist clinical investigators in designing studies, writing grant proposals, managing data, conducting statistical analyses, and writing manuscripts - Participates in study design and sample size considerations, designs and reviews Case Report Forms, develops and reviews randomization plans, and writes statistical analysis plans (SAP). - Monitors data collection, institutes procedures to assure data quality and helps guarantee study protocols are followed appropriately. - Trains and mentors junior staff statisticians. Supervises the work of graduate research assistants. - Trains clinical personnel on data collection issues in clinical studies. - Takes an active role in drafting the Manual of Procedures for prospective clinical studies. - Administrative roles include recruiting, training, supervising, evaluating and retaining masters level statisticians. MINIMUM QUALIFICATIONS: - A master's degree in statistics, biostatistics, computer science, or a related field and 8 years of experience as a biostatistician, preferably in an academic setting, - OR an equivalent combination of education, training, and/or experience. - Proficiency in modern high level statistical languages such as R or SAS or Python. - Database management experience preferred. - Excellent organizational skills. Excellent oral and written communication skills. Additional Details Emory is an equal opportunity employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by state or federal law. Emory University does not discriminate in admissions, educational programs, or employment, including recruitment, hiring, promotions, transfers, discipline, terminations, wage and salary administration, benefits, and training. Students, faculty, and staff are assured of participation in university programs and in the use of facilities without such discrimination. Emory University complies with Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veteran's Readjustment Assistance Act, and applicable executive orders, federal and state regulations regarding nondiscrimination, equal opportunity, and affirmative action (for protected veterans and individuals with disabilities). Inquiries regarding this policy should be directed to the Emory University Department of Equity and Civil Rights Compliance, 201 Dowman Drive, Administration Building, Atlanta, GA 30322. Telephone: 404-727-9867 (V) | 404-712-2049 (TDD). Emory University is committed to ensuring equal access and providing reasonable accommodations to qualified individuals with disabilities upon request. To request this document in an alternate format or to seek a reasonable accommodation, please contact the Department of Accessibility Services at accessibility@emory.edu or call 404-727-9877 (Voice) | 404-712-2049 (TDD). We kindly ask that requests be made at least seven business days in advance to allow adequate time for coordination.