Data Scientist Salary at Readynet BETA

How much does a Readynet Data Scientist make?

As of April 2025, the average annual salary for a Data Scientist at Readynet is $90,992, which translates to approximately $44 per hour. Salaries for Data Scientist at Readynet typically range from $83,291 to $98,492, 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.

Website:
readynetsolutions.com
Size:
<25 Employees
Revenue:
<$5M
Industry:
MFG Durable

ReadyNet Solutions is a next-generation communications technology company founded in 1988. We design and manufacture technology platforms that drive service provider success -- primarily supplying their customer on premise connectivity needs. Our technology platform such as ACM, WRT, VWRT, LTE and PLC enable streamlined operations and increased revenues. We partner well; and though our ecosystem partners such as RNControl.com, Router Limits, Powercode, Affinegy, Friendly Technologies, and many others -- the ReadyNet routers are the base that enables these many innovative solutions. Innovative solutions that drive operational cost down and revenues up for the many service providers that we serve. ReadyNet products address the entire spectrum of application needs, servicing the needs of service providers within the residential and business environments video streaming, high-speed data, audio, video, set-top-boxes, gaming consoles, smart appliances, and cameras. ReadyNet products support Wi-Fi, 4G LTE, LTE-U wLL, PLC, MoCA, DOCSIS and IP telephony. Networking devices without the burden of new wiring and costly installation delays. ReadyNet is expert at and has integrated in the technologies to manage very large numbers of devices such as TR-069, HTTP, TFTP, DDP, auto-provisioning, and configuration file sync. We invite you to browse though our product selections to find solutions suited best for your needs.

See similar companies related to Readynet

What Skills Does a person Need at Readynet?

At Readynet, 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 Readynet

Job Title Average Readynet Salary Hourly Rate
2 Developer $86,166 $41
3 Software Engineer $94,547 $45
4 Vice President, Sales & Marketing $192,571 $93

Hourly Pay at Readynet

The average hourly pay at Readynet for a Data Scientist is $44 per hour. The location, department, and job description all have an impact on the typical compensation for Readynet positions. The pay range and total remuneration for the job title are shown in the table below. Readynet may pay a varying wage for a given position based on experience, talents, and education.
How accurate does $90,992 look to you?

FAQ about Salary and Jobs at Readynet

1. How much does Readynet pay per hour?
The average hourly pay is $44. 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 Readynet?
According to the data, the highest approximate salary is about $98,492 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 Readynet?
According to the data, the lowest estimated salary is about $83,291 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.