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.

Retail Selling Floor Recovery Associate, Herald Square - Part Time

Company: Macy’s

Location: New York, NY

Posted Aug 06, 2025

Proactive in assisting customers who are using devices to shop and compare, whether Macy’s devices or their own. Daily hanger collection and sorting.

Window and Door Specialist

Company: Hayward Lumber

Location: Redwood City, CA

Posted Aug 06, 2025

Develop and maintain strong relationships with contractors, builders, and homeowners to understand their needs and provide tailored solutions.

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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