Consultant - Marketing Data Science & AI
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Location: United States; candidates must reside within a reasonable commuting distance of a office or approved coworking location. Consultants may work onsite at client locations, and between engagements are expected to work from a office or approved coworking location at least three days per week.
Base salary: $95,000–$116,000 annually, plus an annual performance bonus.
Company
is a global management consulting group combining strategy, management consulting, data science, creativity, and digital solutions.
What you will do
- Partner with client leadership, engineering, program management, and analytics teams to define data needs and business challenges.
- Acquire, process, and analyze structured and unstructured data to identify trends, patterns, and actionable insights.
- Build predictive models, machine learning algorithms, datasets, measurements, and analytical services.
- Design, fine-tune, and deploy LLM-based systems using models such as GPT, Claude, Gemini, Llama, and Mistral.
- Develop GenAI applications, including conversational systems and agentic AI solutions, while addressing GDPR, the EU AI Act, and model licensing requirements.
- Communicate findings through presentations, dashboards, datasets, bots, and strategic recommendations.
Requirements
- Master’s or Engineering degree in Computer Science, Engineering, Data Science, or a related quantitative field.
- At least 2 years of experience as a Data Scientist or Data Analyst.
- Strong Python and SQL programming skills.
- Experience with at least one GenAI application framework, such as LangChain or LlamaIndex.
- Experience with AWS, Azure, or GCP and knowledge of proprietary and open-source model ecosystems.
- Legal authorization to work in the United States is required; visa sponsorship is not available now or in the future.
Nice to have
- Experience building agentic AI, conversational AI, or chatbot systems.
- Knowledge of machine learning and statistical techniques.
- Experience with data visualization and deploying models at scale in production.
- Understanding of MCP and related protocols for connecting LLMs to external tools and databases.
Culture & Benefits
- Work with an AI and Data Business Unit of more than 350 experts across data science, generative AI, and digital solutions.
- Medical, dental, vision, life, AD&D, supplemental insurance, EAP, HSA, and FSA options.
- 401(k) with company match and immediate vesting.
- Paid parental leave, generous PTO, company holidays, and one floating holiday.
- Cell phone stipend, well-being programs, professional development support, college savings, and student loan repayment programs.
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