Associate Director, Data Science Salary at Annalect BETA

How much does an Annalect Associate Director, Data Science make?

As of December 2024, the average annual salary for an Associate Director, Data Science at Annalect is $231,508, which translates to approximately $111 per hour. Salaries for Associate Director, Data Science at Annalect typically range from $214,689 to $245,910, 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:
annalect.com
Size:
500 - 1,000 Employees
Revenue:
$50M - $200M
Industry:
Business Services

Headquartered in New York, NY, Annalect is an analytics, data, and technology solutions company. Annalect provides clients with a data-driven marketing strategy, powered by a connected system of technology, analytics, and consultants.

See similar companies related to Annalect

What Skills Does a person Need at Annalect?

At Annalect, 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 Annalect

Job Title Average Annalect Salary Hourly Rate
2 Analytics Director, Media $170,520 $82
3 Associate Analyst $78,281 $38
4 Associate Director, Project Management $202,572 $97
5 Big Data Developer $108,717 $52
6 Chief Analytics Officer $190,905 $92
7 Consultant $132,152 $64
8 Data Analyst $67,528 $32
9 Data Engineer $149,159 $72
10 Data Science Consultant $182,350 $88
11 Data Science Lead $182,350 $88
12 Database Associate $81,594 $39
13 Director, Employee Experience $259,190 $125

Hourly Pay at Annalect

The average hourly pay at Annalect for an Associate Director, Data Science is $111 per hour. The location, department, and job description all have an impact on the typical compensation for Annalect positions. The pay range and total remuneration for the job title are shown in the table below. Annalect may pay a varying wage for a given position based on experience, talents, and education.
How accurate does $231,508 look to you?

FAQ about Salary and Jobs at Annalect

1. How much does Annalect pay per hour?
The average hourly pay is $111. 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 Annalect?
According to the data, the highest approximate salary is about $245,910 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 Annalect?
According to the data, the lowest estimated salary is about $214,689 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.