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Data Science Consulting Jobs (NOW HIRING)

Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills ...

Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills ...

Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills ...

Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills ...

Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills ...

Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills ...

Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills ...

Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills ...

Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills ...

Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills ...

Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills ...

Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills ...

Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills ...

Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills ...

Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills ...

Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills ...

Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills ...

$40/hr

Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills ...

Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills ...

Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills ...

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Data Science Consulting information

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$23.5K

$112.8K

$210.5K

How much do data science consulting jobs pay per year?

As of Jun 6, 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.
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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 Consultant

Data Science Consultant

DataAnnotation

Juneau, AK • On-site, Remote

$60/hr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Join the DataAnnotation team and contribute to developing cutting‐edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. We are looking for experienced quantitative professionals to help advance AI development. AI models are increasingly capable of performing complex analytical and scientific reasoning — but these systems still need practitioners with real‐world quantitative experience to validate whether the outputs actually hold up in practice.

That's where you come in. As a member of DataAnnotation's team, you'll work closely with state‐of‐the‐art AI models on tasks like evaluating AI‐generated quantitative analysis, solving technical problems, and providing feedback that directly shapes how these systems reason about data, models, and scientific problems. Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills are directly applicable here.

Some team members fit this work alongside a full‐time role, while others treat it as their primary focus. To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass, you'll receive an email confirmation, and paid work will become available on our platform.

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand. Flexible schedule: choose which projects you take on and when you work. Competitive pay: projects are paid hourly, up to $60 USD/hour.

Impact: help shape the future of AI systems built to reason about data and analytics. Responsibilities Evaluate AI‐generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data‐driven insights, for technical accuracy and real‐world validity. Design and solve quantitative problems used to train and benchmark AI systems, spanning areas like forecasting, experimental analysis, optimization, and statistical inference.

Write clear technical explanations and well‐documented analytical code. Provide feedback that directly shapes the next generation of AI models built for quantitative reasoning. Qualifications 2+ years of hands‐on experience in a quantitative role or research environment — such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or any adjacent field.

Some coding experience required, with comfort writing and reviewing analytical code end‐to‐end. Practical experience with statistical methods, predictive modeling, and experiment design (e.g., A/B testing, hypothesis testing, regression, classification, time‐series forecasting). Fluency in English (native or bilingual level) with strong writing skills.

A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus. Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or equivalent demonstrated expertise). Payment is made via PayPal.

We will never ask for any money from you. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand. #J-18808-Ljbffr