Role Description The Data Scientist/Developer will be responsible for supporting the development, implementation, and testing of statistical models, integration of NLP, and refinement and testing of the prototype. The data scientist will work closely with State stakeholders and technical team members to ensure the quality of the results and that the derived methods are transparent, statistically sound, relevant, and documented. Qualifications - Bachelor's or Master's degree in computer science, engineering, physics, or related field. - Have participated in US Federal Gov't data science programs requiring TS/SCI clearance, delivering solutions requiring the combination of geospatial disciplines, and pattern of life analysis. - Proven expertise custom developing AI programs "from the ground up", including but not limited to, text processing, and optimized selection and application of multiple LLMs. - Minimum two (2) years of experience designing and implementing machine-learning solutions based on first principles, including developing custom statistical methods without reliance on pre-built libraries. - Minimum academic math background to include full calculus series, linear algebra, and statistics. Discrete math, advanced statistics, and differential equations are a plus. - Knowledge and competence in databases such as Postgres, MySQL, SQL Server, as well as Python, C++, JAVA, React, NextJS, NodeJS, and AWS. - Experience deploying analytic models in pilot or AWS production environments. - Good communication skills with both technical and non-technical people. - Strong understanding of model validation and performance measurement. - Experience deploying advanced analytic solutions in public-sector or regulated environments. Company Description

Role Description We are sharing a specialised part-time consulting opportunity for experienced data science professionals skilled in: - Experiment design - A/B testing - Product analytics - Metric development - SQL and Python analysis - Dashboard review - Structured evaluation of real-world data science work This role supports current and upcoming remote consulting opportunities focused on evaluating professional data science deliverables and defining clear standards for high-quality analytical work. Selected professionals will: - Develop task-specific assessment criteria - Review AI-generated and human-created outputs - Score completed work - Provide detailed written feedback grounded in practical industry experience Qualifications - At least 5 years of professional data science experience in an industry environment - Experience in product, growth, business operations, marketplace, or commercial data science - Strong command of experiment design, A/B testing, metric development, and statistical analysis - Advanced practical experience with SQL and Python - Ability to evaluate models, dashboards, analytical outputs, and written recommendations - Experience communicating findings to executive, product, operational, or commercial stakeholders - Exceptional written communication and the ability to explain technical judgments clearly - Strong attention to detail and comfort having evaluation decisions reviewed and calibrated Requirements - A degree in data science, statistics, computer science, mathematics, economics, engineering, or a related quantitative field is helpful - Graduate-level training in statistics, econometrics, machine learning, operations research, or a related discipline may be valuable - Professional experience in product analytics, experimentation, growth analytics, or business intelligence is highly relevant - Equivalent hands-on experience delivering complex analytical work in industry may also be considered Benefits - Apply senior-level data science judgment to structured remote evaluation work - Define what strong analytical reasoning and industry-quality execution should look like - Review realistic analyses, experiments, models, dashboards, and recommendations - Use your expertise to improve consistency, accuracy, and rigor across data science evaluation workflows - Participate in flexible assignments with competitive hourly compensation Contract Details - Independent contractor role - Fully remote with flexible scheduling - Part-time workload depending on project availability and scope - Competitive rates between $115–$165 per hour depending on experience, technical depth, and project requirements - Weekly payments via Stripe or Wise - The selection process may include a resume review, brief technical assessment, or request for additional professional information - Projects may be extended, shortened, or adjusted depending on scope and performance - Work will not involve access to confidential or proprietary information from any employer, client, or institution About the Platform This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams. By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy: https://www.24-mag.com/privacy-policy

Role Description Client is seeking a senior SAP PP/DS Solution Architect to lead end-to-end design and delivery of a complex production planning and scheduling solution. The role is onsite-leading and offshore-collaborating, requiring strong client stakeholder management. The ideal candidate is a hands-on architect with deep scheduling and optimizer experience and a track record of leading customer-facing engagements. Primary location is Nashville, TN with occasional travel to Bath, NY and Green Bay; remote with flexibility is acceptable for the right candidate. - Own end-to-end PP/DS solution design and delivery; lead the solution from onsite. - Drive PP/DS configuration across scheduling, heuristics, and optimizer-based planning. - Manage senior client stakeholders, facilitate workshops, and ensure alignment on solution direction. - Collaborate closely with offshore delivery team to translate design into execution. - Govern integration to surrounding SAP modules and external optimization tooling where applicable. Qualifications - 12–15 years of planning experience. - 2–3 full-lifecycle PP/DS implementations as Architect or Lead. - Very strong PP/DS scheduling and optimizer expertise. - Exceptional client communication and stakeholder management; ability to lead the solution from onsite. Requirements - Hands-on experience with third-party optimization tools (e.g., Gurobi). - Exposure to SAP BTP landscape.

• Own the end-to-end analytics lifecycle for leadership and key stakeholders, ensuring high-impact reporting is delivered on schedule. • Serve as the primary analytics lead for top-tier client requests, acting as a consultant to design solutions that address complex healthcare business challenges. • Establish and uphold data integrity standards by leading peer code reviews and providing expert guidance on SQL optimization and complex logic validation. • Oversee the reporting roadmap and project lifecycle via Jira and Confluence, ensuring transparent communication of project statuses. • Translate dense healthcare findings into compelling narratives and presentations that bridge technical complexity with business-critical decision-making. • Lead high-priority routine and ad-hoc analyses, including internal and external audits, delivering insights within accelerated timeframes. • Identify bottlenecks in the data lifecycle and partner with Data Engineering and Data Architecture teams to develop automated, scalable solutions. • Approximately 60% writing SQL and/or Looker code for reporting and custom analyses, 20% collaborating with team members, and 20% communicating results to stakeholders.