Consultant- Marketing Data Science & AI at Sia | CA, US | Rezi

Consultant- Marketing Data Science & AI at Sia

Consultant- Marketing Data Science & AI

Sia · CA, US

1 months ago

Consultant- Marketing Data Science & AI

Sia · CA, US

2 months ago
Resume preview

Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now
Resume preview

Tailor your resume to this Consultant- Marketing Data Science & AI role.

Rezi rewrites your resume against Sia's job description. Free.

Resume score gauge reading 58 out of 100

Don't guess if your resume is good enough.

See how it scores against the Consultant- Marketing Data Science & AI posting at Sia — free, in seconds.

About the Role

Sia is seeking a Data Scientist Consultant with a strong interest in Marketing, Customer, and Product topics. You will support clients' operational teams and marketing departments by defining data needs, analyzing data, deploying data science algorithms and AI agents, and providing strategic decision support.

Responsibilities

  • Partner with 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 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 that meet real business needs and comply with applicable regulations.
  • Design and optimize prompting strategies to improve reliability and control.
  • Communicate insights and solutions through presentations, dashboards, datasets, and bots.
  • Propose solutions and strategies to business challenges.
  • Collaborate with engineering and product development teams.
  • Deliver models, algorithms, datasets, measurements, services, tools, and processes across a broad range of partners and projects.

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.
  • 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.
  • Must be legally authorized to work in the United States and not require visa sponsorship.

Skills

  • Data Science
  • Generative AI
  • Machine Learning
  • Statistics
  • Data Analysis
  • Data Engineering
  • DevOps
  • Data Transformation
  • Python
  • SQL
  • LangChain
  • LlamaIndex
  • AWS
  • Azure
  • GCP
  • OpenAI
  • Anthropic
  • Mistral AI
  • Hugging Face
  • Prompting strategies (few-shot, Chain/Tree-of-Thought, ReAct, self-reflection, guardrails)
  • Agentic AI systems
  • Conversational AI systems / chatbots
  • Model Context Protocol (MCP)

Location

  • New York City
  • Charlotte
  • Greater Seattle
  • San Francisco Greater Bay Area
  • Los Angeles
  • Houston
  • Atlanta
  • Baltimore
  • Chicago
  • Washington D.C.

Work Type

  • Hybrid
  • Onsite (at client location when required)
  • Office or approved coworking location (at least three days per week when not serving clients)

Experience Level

  • 2+ years of experience

Education Level

  • Master's degree or Engineering degree (or equivalent) in Computer Science, Engineering, Data Science, or a related quantitative field.

Salary/Compensations

  • $98,000-122,000

Benefits

  • Base Salary: $98,000-122,000
  • Annual Performance Bonus
  • 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 programs
  • Student loan repayment programs
  • Paid parental leave
  • Generous PTO
  • Nine company holidays
  • One floating holiday
  • Cell phone stipend
  • Well-being programs
  • Professional development programs

About the Company

  • Sia is a next-generation, global management consulting group founded in 1999, specializing in strategy and management augmented by data science, creativity, and responsibility.
  • Sia's AI & Data Business Unit merges cutting-edge Data Science, Generative AI, and advanced digital solutions, with over 350 experts worldwide and 12 R&D labs driving continuous research.

Equal Opportunity

  • 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.
  • Fostering a diverse, equitable, and inclusive culture where employees and partners are valued and thrive in a sense of belonging.