DevTech Systems, Inc.
DevTech Systems, Inc.
DevTech Systems, Inc. hukumatlar, ko‘p tomonlama tashkilotlar va xususiy sektor manfaatdor tomonlariga ma’lumotlar, tadqiqotlar va texnik tajriba orqali yaxshiroq qarorlar qabul qilishda yordam beradigan xalqaro konsalting kompaniyasidir. 1984-yilda tashkil etilgan kompaniya ma’lumotlar yechimlari, iqtisodiyot va davlat moliyasi bo‘yicha maslahatlar, suveren kreditlash, fiskal hisobdorlik, monitoring, baholash, tadqiqot va o‘rganish (MERL), shuningdek, ko‘nikmalar va ishchi kuchini rivojlantirish yo‘nalishlarida faoliyat yuritadi. Uning jamoalari 100 dan ortiq mamlakatni qamrab olgan loyihalarda ilg‘or tahlil, bilimlarni boshqarish va ochiq ma’lumotlar yondashuvlarini qo‘llab, AQSh hukumati hamda xalqaro tashkilotlarning yirik shartnomalarini qo‘llab-quvvatlaydi.

Data Scientist — Washington, DC (Hybrid)

Develop data pipelines and analytics for DevTech Systems’ State Department foreign-assistance contract. Contribute to reporting, AI-enabled automation, and predictive analytics.

Tavsif

  • Develop and maintain scalable data pipelines and ETL/ELT processes for foreign-assistance data.
  • Create and refine data models, schemas, and cloud architectures supporting reports, dashboards, and advanced analytics.
  • Establish data-quality checks, validation routines, and monitoring practices.
  • Apply automation and AI tools thoughtfully to improve operational efficiency.
  • Investigate and analyze foreign-assistance data as needed.
  • Contribute to predictive analytics and limited machine-learning initiatives when appropriate.
  • Keep documentation, metadata, and governance practices aligned with Department of State policies.
  • Explain technical issues clearly to both technical and non-technical stakeholders.
  • Handle related duties within a small, agile team to help deliver project objectives.
  • Continue developing knowledge of data technologies relevant to Department of State clients.
  • Help foster a respectful workplace free from discrimination, bias, exclusion, offensive conduct, and harassment.

Talablar

  • Bachelor’s degree in data science, computer science, economics, statistics, or a related discipline.
  • Proficiency in Python and SQL.
  • Background developing data models and building and managing data pipelines.
  • Experience with cloud platforms, especially Azure and Databricks.
  • Experience applying automation and AI tools judiciously to improve efficiency and productivity.
  • Strong analytical, problem-solving, and critical-thinking abilities, together with intellectual curiosity.
  • Ability to communicate complex ideas to varied stakeholders.
  • Capacity to work effectively both independently and collaboratively.
  • Strong multitasking and time-management skills, including the ability to prioritize work.
  • Excellent interpersonal and relationship-building skills.
  • U.S. citizenship required for eligibility for the necessary U.S. government security clearance.
  • A master’s degree or equivalent experience is preferred.

Imtiyozlar

  • A workplace that values inclusion and a range of perspectives.
  • Independence paired with professional support for learning, development, and success.
  • Remote work may be available with approval.

O‘xshash ish o‘rinlari

Cornell University

Assistant Director of Corporate and Employer Engagement

Cornell University

Build industry partnerships for Cornell Duffield Engineering by connecting faculty with corporate collaborators. Coordinate employer outreach, recruitment pathways, research sponsorships, and cross-campus engagement.

Ochish