Senior Data Scientist

April 6

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SMG - Service Management Group

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SMG - Service Management Group is a leader in enterprise experience management (XM) with a dual focus on industry-leading software and hands-on professional services. Their platform provides seamless and secure data integrations to enhance technology ecosystems, with capabilities for cross-channel feedback collection at every stage of customer and employee journeys. SMG offers powerful reporting and analytics tools, data-driven prescriptive actions, and services to guide businesses from being data-driven to insights-driven. They specialize in improving customer, employee, and brand experiences with tailored XM solutions for industries like restaurant, retail, and consumer services.

Employee Engagement • Brand Research • Customer Experience • Employee Experience • Experience Management

201 - 500 employees

🏢 Enterprise

☁️ SaaS

🤝 B2B

💰 Private Equity Round on 2021-10

📋 Description

• As a Senior Data Scientist you will be developing AI agents and other AI applications to assist users in understanding their customer feedback, manage their XM programs, and take data-driven actions. • You will be working closely with product, engineering, UI/UX, client teams to brainstorm ideas, perform feasibility testing, and inform product strategy.

🎯 Requirements

• A master’s degree in data science, statistics, computer science, or related field (broadly construed) or equivalent. • Extensive experience (4+ years) in data science, ML engineering, or ML operations. • Core technical skills, including: • Machine learning: Python + common libraries, classical machine learning models and approaches, model training and evaluation frameworks and metrics, data analysis and visualization, natural language processing transformers models, databases including SQL and noSQL, statistics • ML Ops: Github actions, CI/CD, unit and integration testing, application monitoring and logging (Azure metrics, Grafana), Triton / VLLM, caching (Redis), containerization, API deployment, vector databases, asynchronous execution • Cloud platform: Microsoft Azure framework (including function apps, data factory, AI foundry, Snowflake • AI / LLM: Prompt engineering, function calling, fine-tuning of open-source LLMs, token management, model guardrails, LLM evaluation, throughput and scaling for LLMs, RAG, agentic frameworks (e.g., LangChain / LangGraph), PyTorch, embedding models • The curiosity and drive to stay on top of new developments in the AI/LLM space. • The ability to write production-quality Python code with integrated tests, error handling, and monitoring. • A deep understanding of how to develop, deploy, and scale LLM solutions to ensure reliability, optimize performance, and manage cost. • The drive to collaborate with product, engineering, and client teams to build and deliver the best products. • An “end-to-end” data science skillset with a solid understanding of machine learning fundamentals as well as model management, evaluation, and deployment. • The willingness to speak up, respectfully offering criticism or suggesting alternatives when you have conviction that better options are available. • The responsibility to be self-directed and eager to take ownership of your assigned projects. • The ability to communicate your expertise effectively to audiences with varying levels of technical sophistication, both orally and in writing • A desire to understand business priorities and customer needs. • Ability to thrive in a dynamic, fast-paced environment with a growth mindset and a commitment to continuous learning. • Demonstrated ability to drive change and influence stakeholders at all levels of the organization.

🏖️ Benefits

• Unlimited PTO • Tech provided • Company sick pay • Diverse, experienced, friendly team which will welcome you, support you and challenge you.