Skills Gap in Tech

Data Scientists Job Trends after Gen AI

• Competitive Salaries: Data scientists earn a median of $112,590 annually, with top earners exceeding $190,000, especially in tech and finance sectors.
• Exceptional Growth: The field is projected to grow 36% by 2033, creating approximately 73,100 new jobs - significantly outpacing average job growth rates.
• Critical Skills: Programming (Python, R), machine learning, statistics, and data visualization remain core competencies, with increasing emphasis on deep learning and NLP.
• Industry Expansion: Data science roles are expanding beyond tech into various sectors including healthcare, manufacturing, and agriculture.
• Strong Market Demand: About 20,800 job openings are expected annually, with continued growth driven by AI adoption and big data analytics needs.

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Data Engineers Job Trends after Gen AI

-**Data Engineer Salaries:**Average base salary is $125,000, with experienced professionals earning $150k+ and additional compensation through bonuses and equity. -Explosive Job Growth:~50% year-over-year growth in job market demand, making it one of the fastest-growing tech occupations. -**Skills in High Demand:**Core requirements include SQL, Python/Scala/Java, big data frameworks (Spark, Hadoop), and cloud platforms. -**Talent Shortage:**Companies are creating positions faster than qualified candidates are entering the field, leading to competitive compensation packages. -**Remote Work:**Data engineering roles are highly compatible with remote work.

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U.S. Tech Job Market 2025: Key Trends and Outlook

U.S. Tech Job Market 2025: Key Trends & Outlook (Summary)

I. Executive Summary

• Market State: The market is complex and evolving. There is cautious optimism, with shifts in required skills and economic adjustments.
• Hiring: Hiring is rebounding in some areas but remains competitive. Layoffs continue alongside the creation of new jobs.
• Dominant Forces: AI and cybersecurity are reshaping skill demands and creating new opportunities.
• Work Models: There is ongoing tension between the preference for remote or hybrid work and employers pushing for a return to the office.
• Compensation: Overall growth is modest. There are premiums for specialized skills, especially in AI. Employee satisfaction with pay is down.
• Software Roles:
  • Developers/Engineers: Strong long-term growth, but a current cooling trend. High demand for AI, cloud, full-stack skills, and soft skills.
  • Architects: High salaries and strategic importance (Applications, Solutions, Enterprise, Infrastructure, Cloud, AI, Data). Demand is fueled by digital transformation, cloud, and AI.
• Data Roles:
  • Data Engineers: Explosive growth. They are crucial for data infrastructure.
  • Data Scientists: High demand for providing insights and building AI/ML models.
• Key Challenges: Competition for talent, evolving skill needs, salary expectations, and difficulties in assessing candidates.
• Cross-Cutting Themes: The pervasive impact of AI, the critical importance of soft skills, and a focus on the skills gap and upskilling.

II. Overall Tech Job Market Landscape (U.S. 2025)

A. General Hiring Trends & Economic Climate

• Outlook: 58% of tech leaders plan to hire new staff. 45% anticipate layoffs. 30% expect a hiring freeze in early 2025.
• Economic Factors: Volatility, global economics, cost of living, and a potential slowdown are impacting hiring.
• Job Losses/Gains: There were over 34,000 IT job losses in Q1 2025. However, overall tech employment across all industries increased by 177,000 (CompTIA).
• Unemployment: Tech unemployment is at 3.3%, which is below the national average of 4.1%.
• Hiring Pace: Hiring is slower and more deliberate. The focus is on experienced talent, sometimes at lower pay.
• Applicant Volume: The volume of applicants is overwhelming, making it difficult to find qualified talent. This has led to an erosion of trust.

Table: Tech Hiring Climate Snapshot (2025)

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