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GD Resources LLC

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2 open rolesLatest: Jul 7, 2026, 12:00 AM UTC
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Role Description The Senior Data Scientist provides advanced analytical expertise supporting the SBA OIG Technology Solutions Division through the design, development, deployment, and continuous improvement of machine learning models, predictive analytics, fraud detection methodologies, and advanced statistical analysis. The position directly supports audits, investigations, and fraud prevention initiatives by transforming complex structured and unstructured datasets into actionable intelligence. - Design, develop, and maintain supervised and unsupervised machine learning models. - Develop fraud detection algorithms using statistical modeling and predictive analytics. - Perform exploratory data analysis, feature engineering, and model optimization. - Conduct large-scale data cleansing, normalization, and validation. - Develop NLP solutions utilizing OCR, semantic similarity, vector embeddings, and Large Language Models. - Support criminal investigations through advanced analytics and investigative data products. - Produce dashboards, reports, executive briefings, and interactive visualizations using Power BI and related tools. - Collaborate with Data Engineers to optimize cloud-based analytical environments. - Document methodologies, analytical processes, and model performance. - Present findings to technical and executive audiences. Qualifications - Master's degree (or higher) in Data Science, Computer Science, Mathematics, Statistics, Artificial Intelligence, Machine Learning, or related discipline (or equivalent experience). - Minimum 10 years of advanced analytics experience. - Minimum 5 years developing predictive models and fraud analytics. - Minimum 3 years supporting investigative or compliance analytics. - Experience with: - Python (Pandas) - SQL Server - PostgreSQL - Azure, AWS, or GCP - Machine Learning - NLP - Power BI Preferred Qualifications - Azure AI Engineer - Azure Data Scientist Associate - TensorFlow - PyTorch - Scikit-Learn - Microsoft Certified: Azure AI Engineer - Experience supporting Federal OIGs, DOJ, DHS, Treasury, or Inspector General organizations.

United States

Role Description Our client, a fast-growing healthcare AI enterprise B2B startup, is hiring Customer Success Managers to partner closely with healthcare executives and operators, owning relationships from post-sale through renewal while driving adoption and advocacy for the platform. The Customer Success function delivers white-glove service to leading health systems and provider groups, ensuring they realize the full value of the platform. You'll join a sharp, fast-growing team guiding complex customers from initial adoption through measurable impact. You'll play an integral part in setting the team up for success as the company rapidly scales, and you'll help write the playbook for how the company shows up for every customer. The CSM role balances strategic relationship management with hands-on execution and is ideal for someone who thrives in a fast-paced setting and wants to help transform how patients access quality care. This is a unique opportunity to help define what exceptional customer success looks like at a leading AI company, at a pivotal moment for the team. What You'll Do - Be a strategic advisor on agentic AI - partner with healthcare leaders to transform how patients experience care, expanding their vision of what's possible with AI and delivering measurable outcomes from launch through renewal and expansion. - Navigate complex accounts and drive growth - build relationships at every level, from C-suite to front-desk. Defend the platform's value, cultivate internal champions, and guide customers into new products and use cases as their needs evolve. - Diagnose and solve with data - proactively identify, surface, and address risks and opportunities, and translate insights into recommendations that drive ROI, unlock productivity, and improve AI agent performance. - Be the voice of the customer - develop deep fluency in the product and partner closely with Sales, Implementation, Product, and Engineering to ensure customer needs shape what is built, sold, and delivered. - Build scalable systems - design and refine the playbooks, processes, and tools that let the team deliver consistent, world-class support as they rapidly grow. Qualifications - 2-5 years of experience in Customer Success or Account Management in a B2B tech environment, ideally enterprise or mid-market B2B SaaS CSM or Technical AM. - Experience in a high-growth, early-stage startup environment. - Experience working with enterprise-level or Series B clients. - Experience managing a book of business of ~$2M+, with a high-touch approach (this role involves white-glove support for 10-15 accounts). - Top-tier project management abilities - you can manage multiple customer accounts, urgent priorities, and strategic initiatives effectively and with composure. - Exceptional communication skills and executive presence - you communicate with clarity, concision, and empathy, quickly earning the trust of stakeholders at every level. - Strong analytical and problem-solving skills - you're comfortable using data to drive decisions. - Intellectual curiosity - you instinctively dig deep, ask hard questions, and welcome feedback as fuel for constant improvement. - Builder's mindset - you've helped stand up new systems, processes, or customer programs from scratch, including creating and refining customer success playbooks. - Thrive in fast-moving, ambiguous environments, bring structure to chaos, and are willing to wear many hats as the company sets itself up for scale. - Passion for healthcare innovation and improving patient experiences. Nice to Have - Experience working with healthcare SaaS or provider workflows. - Experience with AI, automation, or workflow software. - Interest in or experience driving adoption of AI-native platforms in complex organizations. - Experience supporting healthcare providers/practices or working with healthcare technology products. - Experience working with EHRs (Epic, Athena, eCW, etc.).

United States