Data Science Consultant

A Data Science Consultant is a professional who applies data-driven strategies to help organizations glean valuable insights and achieve business objectives. They combine analytical, statistical, and computing skills to extract, manage, and analyze large datasets, guiding strategic decision-making.
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High-ROI Certifications
Potential Lateral Jobs
Publications/ Groups

Data Science Consultant

National (USA)
Base Salary
$92,741 / year
Additional Benefits
Bachelor's Degree

The average salary for Data Science Consultant is $92,741 / year according to

There are no updated reports for Data Science Consultant salaries. You can check potential lateral job opportunities in this information stack to find related salary information.

Data Science Consultant role may have an alternate title depending on the company. To find more information, you can check

Career Information

As a Data Science Consultant, you will be responsible for helping organizations extract insights from their data. This role requires strong analytical and problem-solving skills, as well as expertise in statistical analysis and machine learning algorithms. You should also have experience with data visualization tools such as Tableau or Power BI. Strong communication and presentation skills are also essential in this role.

The average salary for Data Science Consultant is $92,741 / year according to
AI Disclaimer
The following text about the Job role of Data Science Consultant has been generated by an AI model developed by OpenAI. While efforts have been made to ensure the accuracy and coherence of the content, there is a possibility that the model may produce hallucinated or incorrect information. Therefore, we strongly recommend independently verifying any information provided in this text before making any decisions or taking any actions based on it.

A data science consultant is a professional who helps organizations make sense of their data and use it to drive business decisions. They are experts in analyzing large and complex datasets, identifying patterns and trends, and providing actionable insights to their clients. Data science consultants work closely with stakeholders to understand their business goals and challenges, and then develop data-driven solutions to address them.

One of the most important skills for a data science consultant is a strong background in statistics and mathematics. They need to be able to apply statistical models and algorithms to analyze data and draw meaningful conclusions. They should also have a solid understanding of machine learning techniques and be able to use them to build predictive models.

Another crucial skill for a data science consultant is proficiency in programming languages such as Python or R. These languages are commonly used in data analysis and machine learning, and consultants need to be able to write code to manipulate and analyze data, as well as build and deploy machine learning models.

Data visualization is also an important skill for a data science consultant. They need to be able to present their findings and insights in a clear and compelling way, using charts, graphs, and other visualizations. This helps stakeholders understand the data and make informed decisions based on the insights provided.

In terms of tasks, a data science consultant may be responsible for collecting and cleaning data, performing exploratory data analysis, building predictive models, and evaluating the performance of these models. They may also be involved in designing and implementing data collection systems, as well as developing data-driven strategies and recommendations for their clients.

Overall, a data science consultant plays a critical role in helping organizations leverage their data to gain a competitive advantage. They bring together their expertise in statistics, programming, and data visualization to provide valuable insights and recommendations that drive business growth and success.

Potential Lateral Jobs
Explore the wide range of potential lateral job opportunities and career paths that are available in this role.

High-ROI Programs

Most roles require at least a bachelor's degree. To remain competitive, job seekers should consider specialization or skill-specific programs such as specialization, bootcamps or certifications.
Certification Programs
Consider pursuing specialized certifications or vendor-specific programs to enhance your qualifications and stand out in the job market.

Microsoft Certified: Azure Enterprise Data Analyst Associate


The Azure Data Analyst Certification is a high-ROI program designed for professionals who have expertise in designing, creating, and deploying enterprise-scale data analytics solutions.

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AWS Certified Data Analytics — Specialty


The AWS Data Analytics Certification program validates a deep understanding of AWS data analytics services and their integration with each other to derive insights from data, making it suitable for individuals pursuing a role focused on data analytics.

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Databricks Certified Data Engineer Associate

The Databricks Data Engineer Certification program is highly sought after, designed to evaluate an individual's proficiency in utilizing the Databricks Lakehouse Platform for performing fundamental data engineering tasks.

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AWS Certified Machine Learning — Specialty Certification


The AWS Certified Machine Learning - Specialty certification covers a wide range of topics, including data engineering, exploratory data analysis, modeling, and machine learning implementation and operations on the AWS Cloud. 

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Google Certified Professional Machine Learning Engineer

The Google Machine Learning Certification is a high-ROI program designed for ML engineers who want to gain specialized machine learning skills using Google Cloud technologies.

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Specialization Programs improving
If you want to improve your skills and knowledge in a particular field, you should think about enrolling in a Nanodegree or specialization program. This can greatly improve your chances of finding a job and make you more competitive in the job market.

Data Engineering for Data Scientists


This Nanodegree program teaches you how to access data silos, extract information from various sources, and streamline it into functional formats for analysts and high-level decision-makers. You will have the opportunity to create an impressive, machine learning-driven web application with significant real-world, life-saving implications.

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Data Science for Business Leaders

Executive Program

Data Scientist with Python

Career Track

This program is exhaustive, allowing you to gain scientific skills in Excel, SQL, and SAS for data analysis, as well as creating data visualization to communicate results using statistical calculations.

Become a Data Scientist


This Nanodegree program, developed by industry experts, equips you with hands-on experience and skills to manage data pipelines, create recommendation systems, and design experiments.

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Practicing Machine Learning Interview Questions in Python


Data Scientist Professional with Python

Career Track

Data Scientist with R

Career Track

Natural Language Processing Specialization


IBM Applied AI Professional Certificate


Computational Probability and Inference


Professional Communication: Business Writing and Storytelling

Executive Program

Data Strategy and Management

Executive Program

Mathematics for Machine Learning and Data Science Specialization


Become a Deep Reinforcement Learning Expert


Become a Natural Language Processing Expert


Resource Stacks

We are soon crowdsourcing these resource stacks to collate the best resources, such as publications, community groups, job boards, etc., that are practically suitable for every contextual stack.
Discover the wide array of publications that professionals in this role actively engage with, expanding their knowledge and staying informed about the latest industry trends and developments.
Communities updating
Discover the thriving communities where professionals in this role come together to exchange knowledge, foster collaboration, and stay at the forefront of industry trends.
Research updating
We are currently in the process of updating contextual resources and we will be adding the new ones to the list shortly.
AI Disclosure: We are testing AI technologies to ensure the accuracy and coherence of recommendations. However, it is important to note that there is a possibility that the model may create hallucinated or incorrect inferences. Therefore, we highly recommend independently verifying any information provided in these stacks before making any decisions or taking any actions based on it.

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