Salary for Senior-level / Expert Decision Scientist during 2023

💰 The median Salary for Senior-level / Expert Decision Scientist during 2023 is USD 162,500

✏️ This salary info is based on 32 individual salaries reported during 2023

Salary details

The average senior-level / expert Decision Scientist salary lies between USD 129,300 and USD 204,500 globally. 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: Senior-level / Expert

Region: global/worldwide

Salary year: 2023

Sample size: 32

Top 10%: $ 204,500

Top 25%: $ 204,500

Median: $ 162,500

Bottom 25%: $ 129,300

Bottom 10%: $ 126,400

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 Senior-level / Expert Decision Scientist roles

The three most common job tag items assiciated with senior-level / expert 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 Senior-level / Expert Decision Scientist roles

The three most common job benefits and perks assiciated with senior-level / expert Decision Scientist job listings are Equity / stock options, Health care 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

The salary for a Senior-level or Expert Decision Scientist typically comprises a base salary, performance bonuses, and additional remuneration such as stock options or profit-sharing. The composition can vary significantly based on region, industry, and company size. In tech hubs like Silicon Valley, the base salary might be higher, but companies often offer substantial stock options as part of the compensation package. In contrast, companies in regions with a lower cost of living might offer a smaller base salary but compensate with higher bonuses or profit-sharing. Industries such as finance or healthcare may offer higher bonuses due to the critical nature of decision-making in these fields. Larger companies might provide more comprehensive benefits and stock options, while startups might offer equity as a significant part of the package to attract top talent.

Increasing Salary

To increase your salary from this position, consider the following strategies:

Specialize Further: Develop expertise in a niche area of AI/ML that is in high demand, such as deep learning, natural language processing, or AI ethics.
Leadership Roles: Transition into leadership or managerial roles where you can oversee teams and projects, which often come with higher compensation.
Consulting: Offer your expertise as a consultant, which can command higher hourly rates and provide additional income streams.
Continuous Learning: Stay updated with the latest technologies and methodologies in AI/ML to remain competitive and justify salary increases.
Networking: Engage with industry professionals through conferences, workshops, and online platforms to discover new opportunities and negotiate better offers.

Educational Requirements

Most Senior-level Decision Scientist roles require at least a master's degree in a relevant field such as Computer Science, Data Science, Statistics, or Applied Mathematics. A Ph.D. is often preferred, especially for roles that involve research and development of new algorithms or methodologies. The educational background should provide a strong foundation in statistical analysis, machine learning, and data modeling.

Helpful Certificates

While not always mandatory, certain certifications can enhance your profile and demonstrate your commitment to the field:

Certified Analytics Professional (CAP): Validates your ability to transform data into valuable insights.
TensorFlow Developer Certificate: Demonstrates proficiency in building and deploying machine learning models using TensorFlow.
AWS Certified Machine Learning – Specialty: Shows expertise in implementing machine learning solutions on the AWS platform.
Data Science Council of America (DASCA) Certifications: Offers various levels of certification for data science professionals.

Required Experience

Typically, a Senior-level Decision Scientist is expected to have 5-10 years of experience in data science or related fields. This experience should include hands-on work with data analysis, machine learning model development, and deployment. Experience in leading projects, mentoring junior team members, and collaborating with cross-functional teams is also highly valued.

Related salaries

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

Decision Scientist @ $ 162,500 (global) Details

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

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

Decision Scientist @ $ 162,500 (United States) Details

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