Entry Level Behavioral Data Scientist information
See Portland, OR salary details
$48.8K - $67.8K
1% of jobs
$67.8K - $86.9K
2% of jobs
$86.9K - $105.9K
4% of jobs
$105.9K - $124.9K
9% of jobs
$141.1K is the 25th percentile. Wages below this are outliers.
$124.9K - $144K
11% of jobs
The median wage is $169.1K / yr.
$163K - $182.1K
50% of jobs
$182.1K - $201.1K
2% of jobs
$201.1K - $220.2K
1% of jobs
$220.2K - $239.2K
0% of jobs
$239.2K - $258.2K
13% of jobs
How much do entry level behavioral data scientist jobs pay per year?
As of Aug 22, 2026, the average yearly pay for entry level behavioral data scientist in Portland, OR is $175,003.00, according to ZipRecruiter salary data. Most workers in this role earn between $141,600.00 and $180,300.00 per year, depending on experience, location, and employer.
An Entry Level Behavioral Data Scientist is a professional who applies data science techniques to analyze and interpret human behaviors, often using data from psychology, marketing, or social science studies. They typically work with large datasets to identify patterns, build predictive models, and provide insights into how people think and act. Entry-level roles focus on supporting research and analysis tasks, learning industry tools, and collaborating with more senior data scientists. This position is ideal for recent graduates with a background in data science, statistics, psychology, or related fields.
Entry level behavioral data scientists often work on projects involving the analysis of user or customer behaviors, such as exploring engagement patterns, conducting A/B tests, or building predictive models for behavior outcomes. They frequently collaborate with product managers, UX researchers, and engineers to define data requirements, interpret findings, and implement data-driven solutions. This cross-functional environment helps new data scientists develop both technical and communication skills while gaining insight into how data informs business decisions.
To thrive as an Entry Level Behavioral Data Scientist, you need a solid background in statistics, behavioral science, and data analysis, often supported by a degree in psychology, data science, or a related field. Familiarity with programming languages like Python or R, data visualization tools, and statistical software such as SPSS or SAS is typically required. Strong analytical thinking, problem-solving abilities, and effective communication skills help translate complex data findings into actionable insights. These combined skills are crucial for accurately interpreting behavioral data and informing evidence-based decisions within organizations.
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