Director, Data Science Salary at Intel Capital Corp BETA

How much does an Intel Capital Corp Director, Data Science make?

As of March 2025, the average annual salary for a Director, Data Science at Intel Capital Corp is $184,928, which translates to approximately $89 per hour. Salaries for Director, Data Science at Intel Capital Corp typically range from $171,961 to $195,751, 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.

Intel Capital Corp Overview

Website:
intelcapital.com
Size:
50 - 100 Employees
Revenue:
$10M - $50M
Industry:
MFG Durable

See similar companies related to Intel Capital Corp

What Skills Does a person Need at Intel Capital Corp?

At Intel Capital Corp, 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. 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.
  2. Leadership: Knowledge of and ability to employ effective strategies that motivate and guide other members within our business to achieve optimum results.
  3. Commitment: An agreement or pledge to do something in the future a commitment to improve conditions at the prison especially : an engagement to assume a financial obligation at a future date.
  4. Underwriting: Underwriting services are provided by some large financial institutions, such as banks, or insurance or investment houses, whereby they guarantee payment in case of damage or financial loss and accept the financial risk for liability arising from such guarantee. An underwriting arrangement may be created in a number of situations including insurance, issue of securities in a public offering, and bank lending, among others. The person or institution that agrees to sell a minimum number of securities of the company for commission is called the underwriter. The name derives from the Lloyd's of London insurance market. Financial bankers, who would accept some of the risk on a given venture (historically a sea voyage with associated risks of shipwreck) in exchange for a premium, would literally write their names under the risk information that was written on a Lloyd's slip created for this purpose.
  5. Machine Learning: Using mathematical models, data, and algorithms to help a computer learn without direct instruction.

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Check more jobs information at Intel Capital Corp

Job Title Average Intel Capital Corp Salary Hourly Rate
2 System Engineering $58,389 $28
3 System Operator $53,865 $26
4 System Software Architect $136,664 $66
5 System Test Engineer $68,793 $33
6 Systems Architect $148,819 $72
7 Systems Specialist $65,992 $32
8 Tailor $33,727 $16
9 Talent Acquisition $69,735 $34
10 Tax Advisor $112,243 $54
11 Tax Analyst $61,011 $29
12 Team Assistant $42,825 $21
13 Team Lead Software Engineer $145,835 $70

Hourly Pay at Intel Capital Corp

The average hourly pay at Intel Capital Corp for a Director, Data Science is $89 per hour. The location, department, and job description all have an impact on the typical compensation for Intel Capital Corp positions. The pay range and total remuneration for the job title are shown in the table below. Intel Capital Corp may pay a varying wage for a given position based on experience, talents, and education.
How accurate does $184,928 look to you?

FAQ about Salary and Jobs at Intel Capital Corp

1. How much does Intel Capital Corp pay per hour?
The average hourly pay is $89. 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 Intel Capital Corp?
According to the data, the highest approximate salary is about $195,751 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 Intel Capital Corp?
According to the data, the lowest estimated salary is about $171,961 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.