Top Tech Jobs & Startup Jobs

Develop advanced statistical forecasting models and custom analyses using R, Tableau, SAS, Visual Basic, and Excel. Translate data into recommendations for client decision-making, present findings, create project deliverables, implement solutions, manage project updates, build client relationships, and mentor Associates. The role requires quantitative expertise, strong communication, teamwork, attention to detail, and 2–4 years of relevant experience.

Build and operate production machine-learning systems, including LLM and generative AI applications, scalable APIs, MLOps pipelines, model observability, prompt management, vector search, and real-time or batch inference. Develop Python and SQL backend services using FastAPI, asynchronous workflows, cloud platforms, and containerized deployment. Integrate Azure OpenAI and multimodal models while supporting security, cost optimization, testing, incident management, and client-facing consulting engagements.

Provides administrative and operational support to consulting professionals, including calendar and travel management, expense reporting, meeting coordination, client documentation, deliverable formatting and proofreading, onboarding support, vendor and stakeholder communication, and front-desk backup. The role also handles special projects, supports proposals and presentations, mentors junior staff, and leads internal initiatives. The position follows an 8:00 a.m.–5:00 p.m. schedule in a hybrid Boston office environment.

Work on client engagements to solve business problems using market and desk research, quantitative analysis, and custom analyses (Excel, Access, Confirmit, proprietary tools). Communicate findings via presentations, manage project plans and client relationships, mentor associates, and support capability-building and delivery across marketing strategy projects.

The Forecasting Decision Analytics Consultant leads forecasting projects, develops models, engages clients, and manages cross-functional teams to deliver strategic insights and solutions.

The Enterprise Architect will co-lead tech advisory, manage client relationships, drive new business, mentor junior consultants, and oversee large transformations.

Develop and execute strategies for partnerships, manage revenue targets, collaborate with teams, and serve as an advisor for assigned partners.

As an Advanced Data Science Consultant, you will develop algorithms, utilize machine learning techniques, collaborate with clients, and mentor junior team members to deliver advanced analytics solutions.

The R&D AI Manager will design AI solutions for R&D processes, lead data science initiatives, engage with clients, and manage project delivery while building capabilities in AI.

Lead business development and solution delivery for life sciences clients, overseeing application programs and technical architecture with a focus on cloud-native and AI-enabled solutions.