Patterns and predictions hide in data, and you pull them out: building models that forecast, classify, and inform decisions. Where statistics, code, and business questions meet.
The work blends framing the problem well, wrangling data, building and validating models, and explaining results. Most of the time goes to data prep, not the modeling, and an unexplainable model rarely gets used. You translate between technical depth and what the business needs.
What surprises people is how much is messy data, not glamorous AI. Data is incomplete and biased, expectations are inflated, and proving a model actually helps is its own challenge. The role ranges from analytics to heavy ML by company.
Skeptical, analytical, and good at explaining the technical: that's the temperament. If you want clean problems or guaranteed results, the ambiguity can frustrate. But if you like turning messy data into something that genuinely changes a decision, the work tends to be engaging.
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Where this role sits in the broader career landscape — and where it can take you.
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Roles like this one sit within a broader occupational category. The numbers below reflect that full landscape — helpful for context, but your specific experience will depend on level, specialty, and where you work.
Roles with similar work and overlapping career paths
View all Technology roles →Patterns and predictions hide in data, and you pull them out: building models that forecast, classify, and inform decisions. Where statistics, code, and business questions meet.
Median pay for a Data Science Specialist is about $103K nationally, with the field ranging roughly from $60K to $171K depending on experience, employer, and metro (BLS).
Core skills for this role include Mathematics, Reading Comprehension, Critical Thinking, Complex Problem Solving, and Active Listening.
Most people in this role hold a master's degree.
Employment in this field is projected to grow about 8.5% through 2034, with roughly 29,800 people working in it today (BLS).
Closely related roles include Data Operations Director, Data Center Product Director, and Clinical Data Management Director (CDM Director).
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