Data Scientist Salary at Dynata Llc BETA

How much does a Dynata Llc Data Scientist make?

As of March 2025, the average annual salary for a Data Scientist at Dynata Llc is $150,471, which translates to approximately $72 per hour. Salaries for Data Scientist at Dynata Llc typically range from $137,487 to $163,313, reflecting the diverse roles within the company.

It's essential to understand that salaries can vary significantly based on factors such as geographic location, departmental budget, and individual qualifications. Key determinants include years of experience, specific skill sets, educational background, and relevant certifications. For a more tailored salary estimate, consider these variables when evaluating compensation for this role.

DISCLAIMER: The salary range presented here is an estimation that has been derived from our proprietary algorithm. It should be noted that this range does not originate from the company's factual payroll records or survey data.

Dynata LLC Overview

Website:
dynata.com
Size:
3,000 - 7,500 Employees
Revenue:
$500M - $1B
Industry:
Software & Networking

Dynata is the world's largest first-party data platform for insights, activation and measurement. With a reach that encompasses nearly 70 million consumers and business professionals globally, and an extensive library of individual profile attributes collected through surveys, Dynata is the cornerstone for precise, trustworthy quality data. The company has built innovative data services and solutions around its robust first-party data offering to bring the voice of the customer to the entire marketing continuum from uncovering insights to activating campaigns and measuring cross-channel marketing ROI. Dynata serves more than 6,000 market research, media and advertising agencies, publishers, consulting and investment firms and corporate customers in North America, South America, Europe and Asia-Pacific.

See similar companies related to Dynata Llc

What Skills Does a person Need at Dynata Llc?

At Dynata Llc, specify the abilities and skills that a person needs in order to carry out the specified job duties. Each competency has five to ten behavioral assertions that can be observed, each with a corresponding performance level (from one to five) that is required for a particular job.

  1. Analysis: Analysis is the process of considering something carefully or using statistical methods in order to understand it or explain it.
  2. Data Science: Data science is a multi-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data. Data science is the same concept as data mining and big data: "use the most powerful hardware, the most powerful programming systems, and the most efficient algorithms to solve problems". Data science is a "concept to unify statistics, data analysis, machine learning and their related methods" in order to "understand and analyze actual phenomena" with data. It employs techniques and theories drawn from many fields within the context of mathematics, statistics, computer science, and information science. Turing award winner Jim Gray imagined data science as a "fourth paradigm" of science (empirical, theoretical, computational and now data-driven) and asserted that "everything about science is changing because of the impact of information technology" and the data deluge. In 2015, the American Statistical Association identified database management, statistics and machine learning, and distributed and parallel systems as the three emerging foundational professional communities.
  3. Machine Learning: Using mathematical models, data, and algorithms to help a computer learn without direct instruction.
  4. Python: Applying the concepts and algorithms of Python to design, develop and maintain software applications to comply with business requirements.
  5. Insight: Insight is the understanding cause and effect based on the identification of relationships and behaviors within a model, context, or scenario.

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Check more jobs information at Dynata Llc

Job Title Average Dynata Llc Salary Hourly Rate
2 Account Development Manager $80,699 $39
3 Account Receivable Coordinator $61,229 $29
4 Accountant $114,016 $55
5 Ad Operations Specialist $93,039 $45
6 Admin $67,502 $32
7 Analysis Head of Financial Planning $241,695 $116
8 Associate Director, Client Services $258,899 $124
9 Associate Director, Operations $242,492 $117
10 BI Engineer $137,611 $66
11 Business Development Executive $136,247 $66
12 Business Development Manager $173,277 $83
13 Call Center Customer Service Representative $48,690 $23

Hourly Pay at Dynata Llc

The average hourly pay at Dynata Llc for a Data Scientist is $72 per hour. The location, department, and job description all have an impact on the typical compensation for Dynata Llc positions. The pay range and total remuneration for the job title are shown in the table below. Dynata Llc may pay a varying wage for a given position based on experience, talents, and education.
How accurate does $150,471 look to you?

FAQ about Salary and Jobs at Dynata Llc

1. How much does Dynata Llc pay per hour?
The average hourly pay is $72. The salary for each employee depends on several factors, including the level of experience, work performance, certifications and skills.
2. What is the highest salary at Dynata Llc?
According to the data, the highest approximate salary is about $163,313 per year. Salaries are usually determined by comparing other employees’ salaries in similar positions in the same region and industry.
3. What is the lowest pay at Dynata Llc?
According to the data, the lowest estimated salary is about $137,487 per year. Pay levels are mainly influenced by market forces, supply and demand, and social structures.
4. What steps can an employee take to increase their salary?
There are various ways to increase the wage. Level of education: An employee may receive a higher salary and get a promotion if they obtain advanced degrees. Experience in management: an employee with supervisory experience can increase the likelihood to earn more.