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Data Science Consultant Jobs in California (NOW HIRING)

Adidev Technologies Inc

Data Science

San Francisco, CA · On-site

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and ... Adidev Technologies is a growing software consulting company that is constantly expanding. As we ...

Adidev Technologies Inc

Data Science

San Francisco, CA · Remote

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and ... Adidev Technologies is a growing software consulting company that is constantly expanding. As we ...

CYNET SYSTEMS

Principal Data Scientist

Oakland, CA · On-site

$128 - $148/hr

Relevant industry experience (electric or gas utility, data science consulting, etc.). * Familiarity with the use of supervised, unsupervised, deep learning & physics-based methods for modeling ...

Omnicom

Director, Data Science

Los Angeles, CA · On-site

Data Science and AI The Data Science team is pivotal in the delivery of modern agency services. We ... digital consulting Knowledge of agency-side execution process is desirable, but not ...

CYNET SYSTEMS

Data Scientist

San Ramon, CA · On-site

$93 - $98/hr

Provides hands-on execution and implementation of data science models. * Translates business ... S. states and Canada, we support thousands of consultants through our expansive, high-performing ...

Sonsoft Inc

Data Science Analytics

San Francisco, CA · On-site

Data Understanding of Sales, Inventory, Store, Product and Promotion Data * Ability to translate ... consulting. Additional Information ** U.S. Citizens and those who are authorized to work ...

Visa

Sr. Manager, Data Science

Foster City, CA · On-site

The Senior Manager will act as an internal data consultant to Consumer Payments business partners ... Lead, execute, and deliver data science and strategic analytics projects that support Visa ...

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How much do data science consultant jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for data science consultant in California is $44.31, according to ZipRecruiter salary data. Most workers in this role earn between $29.90 and $59.33 per hour, depending on experience, location, and employer.

What is a data science consultant?

Data Science Consultants are professionals who use statistical analysis, machine learning, and data modeling to help organizations solve business problems and make informed decisions. They typically work with clients to understand their data-related challenges, develop tailored analytical solutions, and communicate actionable insights. Their expertise spans across data collection, data cleaning, predictive analytics, and data visualization, enabling businesses to leverage data for strategic advantage. Data Science Consultants often work on a project basis, either independently or as part of consulting firms, serving clients in various industries.

How does a data science consultant typically collaborate with clients and internal teams during a project?

Data Science Consultants work closely with both clients and internal stakeholders to understand business objectives, gather requirements, and translate them into analytical solutions. They often facilitate workshops or meetings to clarify goals, then collaborate with data engineers, analysts, and subject matter experts to design and implement models. Regular communication is essential, as consultants must present findings in accessible terms, adjust methodologies based on feedback, and ensure solutions are actionable for the client’s needs. This cross-functional collaboration is key to delivering value and building long-term client relationships.

What are the key skills and qualifications needed to thrive as a data science consultant, and why are they important?

To thrive as a Data Science Consultant, you need strong analytical skills, proficiency in statistics, and experience with data modeling, typically supported by a degree in a quantitative field. Familiarity with programming languages like Python or R, data visualization tools (e.g., Tableau or Power BI), and cloud platforms is commonly required, along with certifications such as AWS Certified Data Analytics or Google Data Engineer. Excellent communication, problem-solving abilities, and business acumen help consultants translate complex data insights into actionable recommendations for clients. These skills are vital to deliver tangible business value, bridge technical and non-technical stakeholders, and drive data-driven decision-making.

How much does a data science consultant make?

Data science consultants typically earn between $70,000 and $150,000 annually, depending on experience, location, and industry. Senior or specialized consultants with advanced skills in machine learning and data analysis can earn higher salaries, especially when working on complex projects or for large organizations.

What are popular job titles related to Data Science Consultant jobs in California?

For Data Science Consultant jobs in California, the most frequently searched job titles are:

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Data Science Consultant jobs near you
Infographic showing various Data Science Consultant job openings in California as of August 2026, with employment types broken down into 82% Full Time, and 18% Part Time. Highlights an 91% In-person, and 9% Remote job distribution, with an average salary of $92,158 per year, or $44.3 per hour.

Consultant- Marketing Data Science & AI

Sia

San Francisco, CA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago

Job description

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.

Additional Information
Compensation & Benefits
Sia invests in total rewards that support how our people work, live, and grow.
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.

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