Exciting Opportunity Jobs in Washington DC

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Looking for Exciting Opportunity jobs in Washington DC? Browse our curated listings with transparent salary information to find the perfect Exciting Opportunity position in the Washington DC area.

Principal Project Manager, Commercial Bank

Company: Capital One

Location: Washington DC

Posted Mar 01, 2025

Capital One, a Fortune 500 company and one of the nation's top 10 banks, is seeking a Principal Project Manager for its Commercial Bank. The role involves leading critical and strategic program governance routines, working closely with key stakeholders, and delivering results that impact the company's bottom line. The ideal candidate will have at least 3 years of project management experience, preferably with a PMP, Lean Agile, or Six Sigma certification. The role offers competitive compensation and benefits, and Capital One is an equal opportunity employer committed to diversity and inclusion.

Senior Associate, Data Science - People Analytics

Company: Capital One

Location: Washington DC

Posted Mar 01, 2025

Capital One is seeking a Senior Associate Data Science specialist for their People Strategy & Analytics team. The role involves applying data science and machine learning to understand associate behavior and inform talent strategies. The ideal candidate should be passionate about human capital, innovative, creative, technically skilled, and statistically minded. They should have a degree in a quantitative field and experience in data analysis, open-source programming, machine learning, and relational databases. Preferred qualifications include a master's degree in a STEM field, AWS experience, and proficiency in Python, PyTorch, Scala, or R.

Senior Associate, Data Scientist - Customer Management

Company: Capital One

Location: Washington DC

Posted Mar 01, 2025

Capital One is seeking a Senior Associate Data Scientist for the Mainstreet Customer Management Data Science team. The role involves partnering with cross-functional teams to deliver data-driven solutions, leveraging a broad stack of technologies including Python, Conda, AWS, H2O, and Spark. The ideal candidate should be creative, innovative, technically skilled, and statistically-minded. Basic qualifications include a Bachelor's or Master's degree in a quantitative field, with relevant experience in data analytics. Preferred qualifications include a STEM degree, AWS experience, and at least 2 years of experience in Python, machine learning, and SQL.

Frequently Asked Questions

What are the typical salary ranges for Exciting Opportunity roles by seniority?
Entry‑level ML Engineer: $90k–$120k; Mid‑level: $120k–$160k; Senior: $160k–$220k. Growth Product Manager: Entry $80k–$110k; Mid $110k–$140k; Senior $140k–$190k. Lead Front‑end Engineer: $110k–$160k; Senior $160k–$210k.
What skills and certifications are required for Exciting Opportunity positions?
Machine Learning Engineer: Python, PyTorch/TensorFlow, Kubernetes, AWS SageMaker or GCP AI Platform, and SQL. Certifications: AWS Certified ML – Specialty, Google Professional Data Engineer, CSPO for product roles. Front‑end Lead: React, TypeScript, GraphQL, Jest, and advanced CSS. UX Researcher: Figma, Lookback, usability testing, and HCI coursework.
Is remote work available for Exciting Opportunity roles?
Yes. Approximately 70% of listings allow full remote work, 20% are hybrid (remote 3 days + office 2 days), and 10% require on‑site presence. Remote roles typically include flexible hours, global collaboration tools, and virtual onboarding.
What career progression paths exist within Exciting Opportunity?
Typical path for engineers: Associate → Senior → Lead → Principal → Distinguished Engineer. For product managers: Associate → Product Manager → Senior PM → Lead PM → Director of Product. For UX roles: Associate Designer → Designer → Senior Designer → Lead Designer → Head of Design. Each step involves increased ownership, cross‑functional influence, and strategic impact.
What industry trends are shaping Exciting Opportunity roles?
AI democratization pushes more teams to adopt no‑code ML tools and edge inference. Edge computing and low‑latency streaming open roles for real‑time analytics specialists. Remote‑first culture expands candidate pools globally. Product analytics, micro‑services, and sustainability‑focused tech are also driving demand for data‑driven and eco‑conscious solutions.

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