Strong Problem-Solving Skills Jobs in New York City, NY

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Looking for Strong Problem-Solving Skills jobs in New York City, NY? Browse our curated listings with transparent salary information to find the perfect Strong Problem-Solving Skills position in the New York City, NY area.

Product Security Lead - Software Engineering - Architecture

Company: JPMorganChase

Location: Jersey City, NJ

Posted Apr 04, 2025

Able to communicate effectively and authoritatively with technical and non-technical stakeholders. Enable and partner with application architects and…

Business Development Manager

Company: V Group Inc.

Location: New York, NY

Posted Apr 04, 2025

Make outbound calls to identify and qualify potential leads for Verizon Connect products. Maintain accurate records of calls, appointments, and demo outcomes…

Frequently Asked Questions

What are typical salary ranges by seniority for problem‑solving roles?
Entry‑level (0‑2 yrs): $70k‑$90k; Mid‑level (3‑5 yrs): $90k‑$125k; Senior (6‑10 yrs): $125k‑$180k; Lead/Principal: $180k‑$250k+.
Which skills and certifications are required for strong problem‑solving professionals?
Core stack: Python, SQL, R; data viz: Tableau, PowerBI; modeling: scikit‑learn, TensorFlow, PyTorch; process optimization: Six Sigma Green Belt; cloud: AWS Certified Solutions Architect, Google Cloud Professional Data Engineer; dev‑ops: Docker, Kubernetes; security: CompTIA Security+, CEH.
How common is remote or hybrid work in problem‑solving positions?
Over 80% of listings support full‑remote or hybrid arrangements, with most companies providing cloud‑based dev environments and flexible hours. Remote roles emphasize strong communication and self‑management.
What career progression paths exist for problem‑solving specialists?
Typical path: Junior Analyst → Analyst → Senior Analyst → Lead Analyst → Manager → Director of Analytics → VP of Data Science. For software roles: Junior Dev → Developer → Senior Dev → Tech Lead → Engineering Manager → VP of Engineering.
What industry trends are shaping demand for problem‑solving talent?
Automated ML pipelines, AI‑driven decision systems, edge‑computing analytics, and ethical AI governance are driving demand for roles that can architect reproducible ML workflows and enforce data governance.

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