BLS projects 34% growth for data scientists and 29% for security analysts through 2034. See where 2026 tech hiring is concentrating. Read now.
Where hiring is concentrating
BLS projects 34% growth for data scientists and 29% for security analysts through 2034. That long-run outlook is already shaping how teams hire in 2026: roles that turn data into decisions and roles that keep systems trustworthy are competing for attention with classic software engineering lanes. Employers are not only adding headcount; they are rewriting job definitions so one hire can cover analysis, tooling, and risk.
Concentration shows up in how requisitions are written. Data work now often sits next to product metrics, experimentation, and operational reporting. Security work sits next to cloud configuration, identity, and incident readiness. Candidates who can show end-to-end ownership—problem framing, measurement, and a clear handoff to engineering or operations—stand out more than those who only list tools.
What data-focused roles actually need
Data scientist demand is less about building every model from scratch and more about making data useful under constraints: incomplete sources, shifting product goals, and stakeholders who need a decision this week. Strong candidates can define a measurable question, choose a simple method that fits the data quality, and explain tradeoffs without hiding uncertainty.
Practical strength looks like this: clean and document pipelines so results can be reproduced; separate exploratory work from production metrics; and know when a dashboard, a well-scoped experiment, or a lightweight model is the right level of complexity. Hiring managers who want durable impact should test for judgment under messy data, not only for algorithm recall.
What security analyst roles actually need
Security analyst growth reflects the same expansion of digital surface area that drives data work. More systems, more identities, more third-party connections—and more ways small misconfigurations become large incidents. Analysts who help teams reduce risk without freezing delivery are the ones organizations keep trying to hire.
- Threat awareness tied to the stack you run, not generic checklists
- Ability to triage alerts, prioritize by business impact, and write clear findings
- Comfort with identity, access, logging, and basic cloud or network controls
- Habit of turning incidents into prevention: better detection, tighter permissions, cleaner runbooks
Interviews that only quiz tool names miss the job. Better signals: how a candidate scopes an investigation, what they would log next, and how they communicate risk so non-security teams can act.
How candidates and teams should respond in 2026
If you are job hunting, aim your portfolio at evidence, not slogans. For data roles, show a project with a real question, messy inputs, a method you can defend, and a result someone could use. For security roles, show a structured analysis: what you observed, how you ranked severity, and what control or process change would reduce recurrence. Pair either path with enough software literacy to collaborate—version control, APIs, cloud basics—because these roles rarely sit in isolation.
If you are hiring, write narrower success criteria and broader collaboration expectations. Define the first 90 days in outcomes (a trusted metric, a reduced false-positive class, a documented control path) rather than an endless tool list. Budget time for mentorship: the BLS growth figures point to sustained demand through 2034, which means competition for experienced people will stay high and growing juniors well is part of capacity planning, not a side project.