Senior Associate Data Scientist salary in Nigeria

Average Yearly Salary of Senior Associate Data Scientist in Nigeria is approximately 8,287,157 NGN (9,940 USD). Data is for 2025 and indicates a pre-tax value. The salary itself depends on multiple factors such as seniority, job performance, certifications, experience or any other bonuses. The value indicated is an average amount based on records we have in database. Real values may vary. The data is for orientational purposes.

What does Senior Associate Data Scientist do?

A senior associate data scientist is a professional who specializes in analyzing complex datasets to extract meaningful insights and drive data-informed decision-making. They work closely with cross-functional teams to understand business objectives and develop innovative solutions using advanced statistical and machine learning techniques. Their responsibilities include data collection, cleaning, and preparation, as well as building and implementing predictive models and algorithms. Senior associate data scientists also play a key role in interpreting and visualizing data findings, presenting them to stakeholders in a clear and concise manner.

Skills: senior associate, data scientist, data analysis, machine learning, predictive modeling, data visualization
Job industry: Technology

How much does Senior Associate Data Scientist make?

Difference in salary year over year or average salary increase is approximately 3 %


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Salary comparison to National average

Is Senior Associate Data Scientist a well paid job?

Yes, our data show that Senior Associate Data Scientist is a very well paid job. With years and experience the salary might increase even further, resulting in higher satisfaction.

What is considered a high salary for Senior Associate Data Scientist?

High salary for Senior Associate Data Scientist would be somewhere between 9,115,873 NGN and 12,016,378 NGN. However this is an estimation based on Gaussian Distribution.

How much can you save working as Senior Associate Data Scientist in Nigeria?

Living in Nigeria the approximate monthly expenses are: 206 USD. This amount covers basic needs such as food, housing, clothing, healthcare and education costs for a single person. No luxury expenses such as traveling, leisure, hobbies are included in the estimation.

Estimated Yearly Salary: 8,287,157 NGN
Estimated Monthly Salary: 690,596 NGN
Estimated Weekly Salary: 159,368 NGN per week
Estimated Hourly Salary: 3,984 NGN per hour
By working as Senior Associate Data Scientist a person can save up to 623 USD per month or 7,473 USD yearly. Values are pre-tax.

NOTE: These values are estimates and are averaged for the whole country. Furthermore the value is likely exaggerated as no other expenses are taken into account in the projection. Unessential expenses are very subjective and are difficult to assess. Most likely the previously estimated number is significantly lower for majority of people. Expenses in different cities across the country may vary. Above values accuracy is low and is based on limited set of data obtained.

For more information regarding expenses in Nigeria, see costs of living in Nigeria.

Salary comparison to region and neighbouring coutries

Country's neighbours are: Niger, Chad, Cameroon, Benin.
To make it easier for comparison a conversion from local currency to USD has been made (conversion rates may vary).

Estimated Yearly Salary for Senior Associate Data Scientist

Last revision of data: 2025-01-04

Salary increase per years of experience

Based on data available the salary increase per years of experience is as following

0 years (beginner) equals base salary

1 to 5 years of experience yields +12% salary increase

6 to 10 years of experience yields +25% salary increase

11 to 15 years of experience yields +16% salary increase

16 to 25 years of experience yields +9% salary increase

more than 25 years of experience yields +10% salary increase

NOTE: Details based on limited set of data. Percentages may vary. The salary increase over years of experience can vary widely based on factors such as job industry, job role, location, company size, and individual performance. To gain even larger increase in salary one is advised to switch jobs and / or employer.

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Data as of 2025

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