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Data Science Consulting Jobs in California (NOW HIRING)

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 ...

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 ...

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 ...

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 ...

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Data Science Consulting information

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 expertise in statistics, machine learning, data analysis, and a strong foundation in programming languages such as Python or R, usually supported by a quantitative degree. Familiarity with data visualization tools (e.g., Tableau, Power BI), cloud platforms (e.g., AWS, Azure), and relevant certifications can enhance your technical capabilities. Outstanding communication, problem-solving skills, and the ability to translate complex data insights for diverse stakeholders set top consultants apart. These skills are crucial for delivering actionable business solutions and driving data-driven decision-making for clients.

What is the difference between Data Science Consulting vs Data Analyst?

AspectData Science ConsultingData Analyst
Required CredentialsTypically requires a degree in data science, statistics, or related fields; often advanced certificationsUsually requires a degree in statistics, mathematics, or related fields; certifications are common but less advanced
Work EnvironmentConsults with multiple clients, often in diverse industries; project-based workWorks within a company or department; focuses on internal data analysis
Employer & Industry UsageUsed by consulting firms, tech companies, and large enterprises for strategic insightsEmployed by organizations across industries for operational reporting and data interpretation

Data Science Consulting involves providing strategic, high-level insights to clients using advanced analytics and machine learning, often across multiple industries. Data Analysts focus on interpreting existing data to support business decisions within a single organization. Both roles require strong analytical skills, but Data Science Consulting typically demands more technical expertise and a broader project scope.

What are some common challenges faced by data science consultants when working with clients from diverse industries?

Data science consultants often encounter challenges such as translating complex technical findings into actionable business insights for clients who may not have a technical background. Adapting analytical approaches to fit unique industry requirements and data quality issues—like missing or inconsistent data—are also frequent hurdles. Consultants must quickly learn about different business models and maintain strong communication to ensure project goals are aligned. Effective collaboration and flexibility are crucial for delivering value across varied client environments.

What is data science consulting?

Data science consulting involves providing expert advice and solutions to organizations on how to use data effectively to solve business problems, make decisions, and gain insights. Consultants analyze large sets of data, develop predictive models, and help implement data-driven strategies tailored to a client's needs. Their work often includes data cleaning, statistical analysis, machine learning, and translating complex findings into actionable recommendations. Data science consultants work across industries, helping organizations optimize operations, improve customer experiences, and drive innovation.
What are popular job titles related to Data Science Consulting jobs in California? For Data Science Consulting jobs in California, the most frequently searched job titles are:
What job categories do people searching Data Science Consulting jobs in California look for? The top searched job categories for Data Science Consulting jobs in California are:
Data Science Consulting jobs near you
Infographic showing various Data Science Consulting job openings in California as of July 2026, with employment types broken down into 90% Full Time, 6% Part Time, 1% Temporary, and 3% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution.
Director - Data Science Consulting

Director - Data Science Consulting

Tiger Analytics Inc.

California City, CA • On-site

Full-time

Re-posted 15 days ago

Job description

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.

We are looking for an Director of Data Science to lead high-impact applied ML and analytics initiatives. This role combines deep technical expertise, strong experimentation rigor, and business leadership to influence product direction and drive measurable outcomes at scale.

Responsibilities:

  • Own and drive end-to-end data science workstreams from problem definition to production and impact measurement.
  • Build and scale statistical and ML models for personalization, recommendations, growth optimization, fraud, and experimentation platforms.
  • Partner closely with Product, Engineering, Marketing, and Leadership to define success metrics, trade-offs, and roadmaps.
  • Design and maintain production ML pipelines using Python, SQL, Airflow, and modern data tooling.
  • Collaborate with client stakeholders to translate business needs into high-level analytical solution designs.
  • Present insights and solutions to business leaders, demonstrating impact and value.
  • Manage analytics projects and coordinate with global client and Tiger teams.
  • Lead requirement discussions, and oversee planning, development, and documentation of DS/AI solutions.
  • Partner with technical teams to select appropriate analytical methods and generate actionable insights.
  • Communicate results to senior leadership and support the operationalization of analytics solutions.

Requirements

  • 15+ years of professional experience in Data Science, Applied ML, or Advanced Analytics, with leadership at scale..
  • Must have experience working on traditional ML Models. Knowledge of ML frameworks like Scikitlearn, Tensorflow, and Keras.
  • Strong hands-on expertise in Python, SQL, and statistical modeling.
  • Familiarity with data orchestration and workflows (Airflow, Git-based CI/CD, Fivetran).
  • Strong understanding of cloud-native data and ML platforms (AWS, GCP, Azure).
  • Excellent communication skills with the ability to influence Director+ stakeholders.
  • Identify and implement improvements to analytics workflows and processes to enhance efficiency and effectiveness.
  • Ensure all analytical activities adhere to guidelines, regulatory requirements, and industry standards.
  • Ability to engage with executive/VP-level stakeholders from the client’s team to translate business problems into high-level analytics solution approaches.
  • A solid understanding of statistical and machine-learning algorithms is a plus.
  • Bachelor's in Business Analytics or equivalent work experience.

Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.