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Data Science Consulting Jobs (NOW HIRING)

Summit

Data Science Consultant (Hybrid)

Washington, DC · On-site

$90K - $110K/yr

Data Science Consultant Location * Washington, DC Area (Hybrid) Summit is a specialized analytics ... of consulting experience with project management skills. * Experience developing analytical ...

Summit

Data Science Consultant (Hybrid)

Washington, DC · On-site

$90K - $110K/yr

Data Science Consultant Location * Washington, DC Area (Hybrid) Summit is a specialized analytics ... of consulting experience with project management skills. * Experience developing analytical ...

Innovizant LLC

Data Scientist

Madison, WI · On-site

... science consulting firms have evolved in recent times, and they are also contributing the best of their solutions to the modern-day clients. It means today; you can easily find a solution for data ...

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 ...

Innovizant LLC

Data Scientist

Madison, WI · On-site

... science consulting firms have evolved in recent times, and they are also contributing the best of their solutions to the modern-day clients. It means today; you can easily find a solution for data ...

INTECON

Senior Data Science Consultant

Washington, DC · On-site

INTECON is seeking a Senior Data Science Consultant to support the U.S. Air Force A33B Mission Assurance Construct Support (MACS) program by leading advanced analytics initiatives, developing AI/ML ...

INTECON

Senior Data Science Consultant

Washington, DC · On-site

INTECON is seeking a Senior Data Science Consultant to support the U.S. Air Force A33B Mission Assurance Construct Support (MACS) program by leading advanced analytics initiatives, developing AI/ML ...

CSAA

Job Title Senior Data Science Consultant, Insurance - Remote Requisition Number R7828 Senior Data Science Consultant, Insurance - Remote (Open) Location Arizona - Home Teleworkers Additional ...

CSAA

Job Title Senior Data Science Consultant, Insurance - Remote Requisition Number R7828 Senior Data Science Consultant, Insurance - Remote (Open) Location Arizona - Home Teleworkers Additional ...

CSAA

Job Title Senior Data Science Consultant, Insurance - Remote Requisition Number R7828 Senior Data Science Consultant, Insurance - Remote (Open) Location Arizona - Home Teleworkers Additional ...

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All JobsData Science Consulting Jobs

Data Science Consulting information

See salary details

$23.5K

$112.8K

$210.5K

How much do data science consulting jobs pay per year?

As of Jul 20, 2026, the average yearly pay for data science consulting in the United States is $112,797.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,500.00 and $156,500.00 per year, depending on experience, location, and employer.

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.
More about Data Science Consulting jobs
What cities are hiring for Data Science Consulting jobs? Cities with the most Data Science Consulting job openings:
What states have the most Data Science Consulting jobs? States with the most job openings for Data Science Consulting jobs include:
What job categories do people searching Data Science Consulting jobs look for? The top searched job categories for Data Science Consulting jobs are:
Data Science Consulting jobs near you
Infographic showing various Data Science Consulting job openings in the United States as of July 2026, with employment types broken down into 93% Full Time, 4% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $112,797 per year, or $54.2 per hour.
Director - Data Science Consulting

Director - Data Science Consulting

Tiger Analytics Inc.

California City, CA • On-site

Full-time

Re-posted 14 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.