Decision Scientist Salary in United States during 2023

💰 The median Decision Scientist Salary in United States during 2023 is USD 162,500

✏️ This salary info is based on 36 individual salaries reported during 2023

Salary details

The average Decision Scientist salary lies between USD 142,200 and USD 204,500 in the United States. It represents the overall compensation/gross salary amount for the working year (before deductions like social security, taxes and other contributions), not including equity/stock options or similar benefits.

Job title: Decision Scientist

Experience: all levels

Region: United States

Salary year: 2023

Sample size: 36

Top 10%: $ 204,500

Top 25%: $ 204,500

Median: $ 162,500

Bottom 25%: $ 142,200

Bottom 10%: $ 129,300

Region represents the primary country of residence of an employee during the year (or residence for tax purposes). All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.

Last updated: Nov. 24, 2024

Salary trend

Top 20 Job Tags for Decision Scientist roles

The three most common job tag items assiciated with Decision Scientist job listings are SQL, Python and Mathematics. Below you find a list of the 20 most occuring job tags in 2023 and the number of open jobs that where associated with them during that period:

Top 20 Job Perks/Benefits for Decision Scientist roles

The three most common job benefits and perks assiciated with Decision Scientist job listings are Health care, Equity / stock options and Career development. Below you find a list of the 20 most occuring job perks or benefits in 2023 and the number of open jobs that where offering them during that period:

Salary Composition for a Decision Scientist Role

The salary for a Decision Scientist in the United States typically comprises a base salary, performance bonuses, and additional remuneration such as stock options or benefits. The base salary is often the largest component, accounting for approximately 70-80% of the total compensation package. Performance bonuses can vary significantly depending on the company and industry, ranging from 10-20% of the total salary. Additional remuneration, such as stock options, profit-sharing, or other benefits, can make up the remaining 5-10%.

Regional differences also play a role; for instance, salaries in tech hubs like San Francisco or New York City tend to be higher due to the cost of living and competitive job market. Industry-wise, tech companies and financial services often offer higher compensation packages compared to academia or non-profit sectors. Larger companies may provide more comprehensive benefits and stock options, while smaller companies might offer higher base salaries to attract talent.

Steps to Increase Salary from a Decision Scientist Position

To increase your salary from a Decision Scientist position, consider the following strategies:

Skill Enhancement: Continuously update your skills in emerging AI/ML technologies and tools. Specializing in niche areas like deep learning, natural language processing, or big data analytics can make you more valuable.
Advanced Education: Pursuing further education, such as a Ph.D. or an MBA, can open doors to higher-level positions and salary brackets.
Leadership Roles: Transitioning into managerial or leadership roles can significantly boost your salary. This might involve leading a team of data scientists or taking on project management responsibilities.
Industry Switch: Moving to a higher-paying industry, such as finance or tech, can result in a substantial salary increase.
Networking and Visibility: Building a strong professional network and increasing your visibility in the field through conferences, publications, or speaking engagements can lead to better job offers.

Educational Requirements for a Decision Scientist

Most Decision Scientist roles require at least a master's degree in a relevant field such as Data Science, Computer Science, Statistics, or Mathematics. A Ph.D. is often preferred, especially for research-intensive positions or roles in academia. The educational background should provide a strong foundation in statistical analysis, machine learning, and data manipulation techniques.

Helpful Certifications for a Decision Scientist

While not always mandatory, certain certifications can enhance your profile and demonstrate expertise:

Certified Analytics Professional (CAP): Validates your ability to transform data into valuable insights.
Google Professional Machine Learning Engineer: Demonstrates proficiency in designing, building, and productionizing ML models.
AWS Certified Machine Learning – Specialty: Shows expertise in using AWS services for machine learning.
Microsoft Certified: Azure AI Engineer Associate: Highlights skills in using Azure for AI solutions.

These certifications can be particularly beneficial if you are looking to specialize in certain technologies or platforms.

Experience Required for a Decision Scientist Role

Typically, a Decision Scientist role requires 3-5 years of experience in data science or a related field. This experience should include hands-on work with data analysis, machine learning model development, and statistical software. Experience in a specific industry can also be advantageous, as it provides domain knowledge that can be critical for making informed decisions.

Related salaries

Decision Scientist @ $ 173,350 (global) - Mid-level / Intermediate Details

Decision Scientist @ $ 162,500 (global) Details

Decision Scientist @ $ 162,500 (global) - Senior-level / Expert Details

Decision Scientist @ $ 173,350 (United States) - Mid-level / Intermediate Details

Decision Scientist @ $ 162,500 (United States) - Senior-level / Expert Details

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