Decision Scientist Salary in United States during 2024

Salary details

The average Decision Scientist salary lies between USD 112,900 and USD 177,500 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.

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, Statistics and Python. Below you find a list of the 20 most occuring job tags in 2024 and the number of open jobs that where associated with them during that period:

SQL | 146 jobs Statistics | 144 jobs Python | 143 jobs Mathematics | 115 jobs Engineering | 106 jobs Machine Learning | 98 jobs Tableau | 78 jobs Computer Science | 63 jobs Economics | 60 jobs R | 57 jobs CX | 55 jobs Testing | 54 jobs Excel | 43 jobs Data analysis | 42 jobs GitHub | 39 jobs Spark | 38 jobs Hadoop | 37 jobs Research | 35 jobs Causal inference | 32 jobs NLP | 30 jobs

Top 20 Job Perks/Benefits for Decision Scientist roles

The three most common job benefits and perks assiciated with Decision Scientist job listings are Career development, Equity / stock options and Health care. Below you find a list of the 20 most occuring job perks or benefits in 2024 and the number of open jobs that where offering them during that period:

Career development | 97 jobs Equity / stock options | 78 jobs Health care | 64 jobs Competitive pay | 63 jobs Team events | 56 jobs Flex hours | 38 jobs Insurance | 37 jobs Salary bonus | 37 jobs Flex vacation | 28 jobs Parental leave | 22 jobs Startup environment | 21 jobs 401(k) matching | 19 jobs Medical leave | 19 jobs Wellness | 17 jobs Flexible spending account | 16 jobs Signing bonus | 10 jobs Relocation support | 9 jobs Snacks / Drinks | 6 jobs Unlimited paid time off | 6 jobs Conferences | 5 jobs

Salary Composition for a Decision Scientist

The salary composition for a Decision Scientist in the United States typically includes a base salary, performance bonuses, and additional remuneration such as stock options or profit-sharing. The base salary often constitutes the majority of the total compensation package, usually ranging from 70% to 85%. Performance bonuses can vary significantly depending on the company and industry, often ranging from 10% to 20% of the total compensation. Additional remuneration, such as stock options, is more common in tech companies and startups, potentially making up 5% to 15% of the total package.

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 markets. Industry-wise, tech and finance sectors often offer higher compensation compared to healthcare or manufacturing. Company size can also influence salary composition, with larger companies typically offering more comprehensive benefits and bonuses.

Steps to Increase Salary

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

• Skill Enhancement: Continuously update and expand your skill set, particularly in emerging technologies and methodologies in AI/ML and data science.
• Advanced Education: Pursuing advanced degrees such as a Ph.D. or specialized certifications can make you more competitive.
• Leadership Roles: Aim for leadership or managerial roles that come with higher responsibilities and compensation.
• Industry Transition: Consider moving to higher-paying industries like finance or tech if you are not already in one.
• Networking: Build a strong professional network to learn about higher-paying opportunities and gain insights into salary negotiations.

Educational Requirements

Most Decision Scientist roles require at least a bachelor's degree in a relevant field such as Computer Science, Statistics, Mathematics, or Engineering. However, a master's degree or Ph.D. is often preferred, especially for more senior positions. These advanced degrees provide a deeper understanding of complex data analysis, machine learning algorithms, and statistical modeling, which are crucial for the role.

Helpful Certifications

While not always mandatory, certain certifications can enhance your profile and demonstrate your expertise. Some valuable certifications include:

• Certified Analytics Professional (CAP)
• Google Professional Machine Learning Engineer
• AWS Certified Machine Learning – Specialty
• Microsoft Certified: Azure Data Scientist Associate
• TensorFlow Developer Certificate

These certifications can validate your skills and knowledge, making you a more attractive candidate for higher-paying roles.

Required Experience

Typically, a Decision Scientist role requires 3 to 5 years of experience in data science, analytics, or a related field. Experience with data analysis tools (such as Python, R, SQL), machine learning frameworks (like TensorFlow, PyTorch), and data visualization tools (such as Tableau, Power BI) is often expected. Experience in a specific industry can also be beneficial, as it provides domain knowledge that can be crucial for making informed decisions.

Related salaries

Want to contribute?