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 are expected to work from a office or approved coworking location at least three days per week between engagements.
Salary: $98,000–$122,000 annually, plus an annual performance bonus.
Company
is a global management consulting group whose AI & Data Business Unit combines data science, generative AI, and digital solutions to support client transformation projects.
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 data-driven recommendations for marketing, customer, and product initiatives.
- Design, fine-tune, and deploy LLM-based systems using models such as GPT, Claude, Gemini, Llama, and Mistral.
- Develop GenAI applications, agentic systems, conversational tools, and data-driven marketing capabilities while supporting regulatory compliance.
- Communicate findings through presentations, dashboards, datasets, bots, and other formats while collaborating with engineering and product teams.
Requirements
- Master’s or Engineering degree, or equivalent, 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.
- Proficiency 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 throughout employment is required; visa sponsorship is not available.
Nice to have
- Experience building agentic AI systems, conversational AI applications, or chatbots.
- Knowledge of machine learning and statistical techniques.
- Experience with data visualization and deploying models at scale in production.
- Understanding of protocols such as the Model Context Protocol for connecting LLMs with external tools and databases.
Culture & Benefits
- Medical, dental, vision, life, AD&D, supplemental insurance, and employee assistance benefits.
- 401(k) with company match and immediate vesting, plus HSA and FSA options.
- Paid parental leave, generous PTO, nine company holidays, and one floating holiday.
- Student loan repayment, college savings, cell phone stipend, well-being, and professional development programs.
- In-person collaboration through offices, approved coworking locations, and client engagements.
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