Salary for Senior-level / Expert Decision Scientist in United States during 2023
💰 The median Salary for Senior-level / Expert Decision Scientist in United States during 2023 is USD 162,500
✏️ This salary info is based on 30 individual salaries reported during 2023
Salary details
The average senior-level / expert Decision Scientist salary lies between USD 135,000 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
- Senior-level / Expert
- Region
- United States
- Salary year
- 2023
- Sample size
- 30
- Top 10%
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- Top 25%
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- Median
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- Bottom 25%
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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: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:
SQL | 38 jobs Python | 37 jobs Mathematics | 35 jobs Banking | 30 jobs Statistics | 30 jobs Open Source | 27 jobs Crypto | 27 jobs Blockchain | 27 jobs Engineering | 24 jobs Tableau | 23 jobs Looker | 22 jobs Economics | 20 jobs KPIs | 20 jobs Fraud risk | 16 jobs Machine Learning | 15 jobs Computer Science | 15 jobs Data analysis | 13 jobs Finance | 11 jobs GCP | 11 jobs ML models | 11 jobsTop 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:
Equity / stock options | 34 jobs Health care | 33 jobs Career development | 31 jobs Salary bonus | 31 jobs Parental leave | 28 jobs Insurance | 28 jobs Wellness | 27 jobs Signing bonus | 27 jobs Flex vacation | 23 jobs Flex hours | 20 jobs Team events | 18 jobs Medical leave | 16 jobs Flexible spending account | 16 jobs Competitive pay | 7 jobs Home office stipend | 7 jobs Startup environment | 6 jobs 401(k) matching | 4 jobs Conferences | 3 jobs Gear | 1 jobs Fitness / gym | 1 jobsSalary Composition
In the United States, the salary composition for a Senior-level or Expert Decision Scientist typically includes a mix of base salary, bonuses, and additional remuneration such as stock options or equity, especially in tech companies. The base salary often constitutes the largest portion, ranging from 70% to 85% of the total compensation package. Bonuses can vary significantly depending on the company and industry, often comprising 10% to 20% of the total salary. Additional remuneration, such as stock options, is more common in larger 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 usually offer higher compensation compared to academia or non-profit organizations.
Increasing Salary
To increase your salary further from a Senior-level Decision Scientist position, consider the following strategies:
- Specialization: Develop expertise in a niche area of AI/ML, such as deep learning, natural language processing, or reinforcement learning, which can make you more valuable to employers.
- Leadership Roles: Transition into leadership or managerial roles, such as a Director of Data Science or Chief Data Officer, which typically offer higher salaries.
- Continuous Learning: Stay updated with the latest technologies and methodologies in AI/ML through courses, workshops, and conferences.
- Networking: Build a strong professional network to learn about higher-paying opportunities and gain insights into industry trends.
- Consulting: Consider offering consulting services or starting your own business, which can provide additional income streams.
Educational Requirements
Most Senior-level Decision Scientist roles require at least a master's degree in a relevant field such as Computer Science, Statistics, Mathematics, or Data Science. A Ph.D. is often preferred, especially for roles that involve research or advanced technical work. The educational background should provide a strong foundation in statistical analysis, machine learning algorithms, and data manipulation techniques.
Helpful Certificates
While not always mandatory, certain certifications can enhance your profile and demonstrate your expertise:
- Certified Analytics Professional (CAP): Validates your ability to transform data into valuable insights.
- AWS Certified Machine Learning – Specialty: Demonstrates your skills in building, training, and deploying machine learning models on AWS.
- Google Professional Machine Learning Engineer: Shows proficiency in designing, building, and productionizing ML models.
- TensorFlow Developer Certificate: Indicates your ability to use TensorFlow for machine learning and deep learning tasks.
Required Experience
Typically, a Senior-level Decision Scientist is expected to have at least 5 to 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.
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