Consultant- Marketing Data Science & AI
About The Position
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.
Requirements
- 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.
Nice To Haves
- 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.
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.
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
- one floating holiday
- Cell phone stipend
- well-being and professional development programs
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
