Consultant- Marketing Data Science & AI

AI & Tech 550 California Street, 94108 San Francisco, United States Company Description Sia is a next-generation, global management consulting group. Founded in 1999, we were born digital. Today our strategy and management capabilities are augmented by data science, enhanced by creativity and driven by responsibility. We’re optimists for change and we help clients initiate, navigate and benefit from transformation. We believe optimism is a force multiplier, helping clients to mitigate downside and maximize opportunity. With expertise across a broad range of sectors and services, our 3,000 consultants serve clients worldwide from 48 locations in 19 countries. Our expertise delivers results. Our optimism transforms outcomes. Sia’s AI & Data Business Unit is the powerhouse of our firm’s innovation—merging cutting‑edge Data Science, Generative AI, and advanced digital solutions to transform industries. With over 350 experts worldwide, we tackle projects from proof‑of‑concept to large‑scale deployment, always pushing the boundaries of AI capabilities. Our 12 R&D labs in Europe and North America drive continuous research in areas like computer vision, MLOps, and deep learning, partnering closely with our business consultants for real‑world impact. By joining Sia’s AI & Data team, you’ll step into a vibrant, collaborative environment that nurtures professional growth and empowers you to shape the future of AI‑driven consulting. Job Description To support its growth, Sia is recruiting a Data Scientist Consultant with a strong interest in Marketing, Customer, and Product topics and challenges. Reporting to Sia's Data Science teams, your role is to support our clients' operational teams and marketing departments in defining their data needs, analyzing their data, deploying data science algorithms, and AI agents and providing strategic decision support. These engagements require the implementation of complex analyses to support our clients, notably in: Forward‑Deployed Engineering Generative AI, Machine Learning & Statistics Data Analysis for strategic support Data Engineering & DevOps Data Transformation & Acculturation A Few Examples Of Engagements Automatic detection and classification of user needs: Identifying key themes and specific needs from free‑text exchanges across various sources (surveys, email exchanges, etc.) using generative AI, NLP processing, and clustering. Sales forecasting to optimize new product assortment in stores: Developing a machine learning model to estimate the sales potential of new luxury products in each store across the network, in order to provide product assortment recommendations for stores. Building and scaling audience segmentation for data‑driven marketing at scale: Designing and industrializing audience signals and segmentation capabilities within customer data platforms to power data‑driven marketing campaigns reaching millions of customers, enabling more precise targeting and measurable campaign performance. Key Responsibilities Partner with our clients' leadership teams, engineers, program managers, and data analysts to understand data needs. Identify, acquire, process, and explore relevant data sources. Analyze large amounts of structured and unstructured information to discover trends and patterns. Use your data analytics and data science expertise to derive valuable insights from datasets, and build predictive models and machine learning algorithms. Design, build, fine‑tune, and deploy LLM‑based systems using models such as GPT, Claude, Gemini, Llama, and Mistral. Develop GenAI‑powered applications (self‑managed and API‑based) that meet real business needs and comply with applicable regulations (GDPR, EU AI Act, model licenses). Design and optimize prompting strategies (few‑shot, Chain/Tree‑of‑Thought, ReAct, self‑reflection, guardrails) to improve reliability and control. Communicate at scale through multiple mediums: presentations, dashboards, datasets, bots, and more. Propose solutions and strategies to business challenges. Collaborate with engineering and product development teams. Work across a broad range of partners and projects, delivering models, algorithms, datasets, measurements, services, tools, and processes. Qualifications Master's degree or Engineering degree (or equivalent) in Computer Science, Engineering, Data Science, or a related quantitative field. 2+ years of experience as a Data Scientist or Data Analyst. Strong programming skills, particularly Python and SQL. Proficiency in at least one major GenAI application framework (LangChain, LlamaIndex, etc.). Experience with cloud platforms (AWS, Azure, or GCP). Knowledge of both proprietary and open‑source model ecosystems (OpenAI, Anthropic, Mistral AI, Hugging Face, etc.). Excellent communication skills, with the ability to explain complex technical concepts simply. Preferred Technical Experience Experience building agentic AI systems. Good understanding of machine learning techniques. Good understanding of statistical techniques and concepts. Experience with data visualization tools. Experience developing conversational AI systems / chatbots. Understanding of or experience with protocols and standards for connecting LLMs to external tools and databases, such as the Model Context Protocol (MCP). Experience deploying models at scale in production environments. Compensation & Benefits Compensation Base Salary: $98,000-122,000. Actual compensation within this range will be determined based on experience, qualifications, geographic location, and other job‑related factors permitted by applicable law. Annual Performance Bonus Benefits Medical, dental, and vision; company-paid life and AD&D; voluntary supplemental insurance and EAP 401(k) with company match and immediate vesting; HSA and FSA options College savings and student loan repayment programs Paid parental leave; generous PTO, nine company holidays, and one floating holiday Cell phone stipend; well‑being and professional development programs Benefits are subject to applicable plan terms and eligibility requirements. Workplace Sia values in‑person collaboration. When serving clients, consultants may be required to work onsite at a client location based on engagement needs. Between client engagements, consultants are expected to work from a Sia office or approved coworking location at least three days per week. Candidates should reside within a reasonable commuting distance of a Sia office or approved coworking location. Sia maintains offices and coworking arrangements across multiple U.S. markets, including New York City, Charlotte, Greater Seattle, San Francisco Greater Bay Area, Los Angeles, Houston, Atlanta, Baltimore, Chicago, Washington D.C. Work Authorization Applicants must be legally authorized to work in the United States at the time of application and throughout their employment. This position is not eligible for employment visa sponsorship now or in the future. Our Commitment At Sia, we believe in fostering a diverse, equitable, and inclusive culture where our employees and partners are valued and thrive in a sense of belonging. Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs. #J-18808-Ljbffr PPT Consulting