ICF federal IT modernizatsiyasi, energetika va kommunal xizmatlar, jamoat salomatligi, iqlimga chidamlilik, ofatlarni boshqarish hamda transport kabi yo‘nalishlarda murakkab muammolar ustida davlat va tijorat mijozlari bilan ishlaydigan global konsalting va texnologik xizmatlar kompaniyasidir. Uning jamoalari amaliy yechimlarni ishlab chiqish va joriy etish uchun ma’lumotlar va tahlil, sun’iy intellekt, kiberxavfsizlik hamda sohaviy ekspertizani birlashtiradi. ICF, shuningdek, ijtimoiy dasturlar, jamiyat rivoji va chiqindilari kamroq bo‘lgan kelajakni qo‘llab-quvvatlashga qaratilgan tashabbuslarni o‘z ichiga olgan korporativ fuqarolik va barqaror rivojlanishga e’tibor beradi. Kompaniya xalqaro miqyosda faoliyat yuritadi va Yevropada Belgiya, Ispaniya hamda Buyuk Britaniyada sezilarli ishtirokiga ega.
Junior Data Scientist – Remote, United States
Analyze U.S. health data with Python, SQL, Databricks, and AWS QuickSight. Support ICF’s advisory and technology work through repeatable analyses, reporting, and collaboration with data engineers.
Tavsif
- Extract, prepare, and analyze structured data from PostgreSQL and other approved sources using SQL and Python.
- Explore datasets to uncover patterns, trends, anomalies, and quality issues.
- Support the development, testing, and documentation of statistical analyses, machine learning models, and analytical workflows.
- Build and maintain Databricks notebooks and repeatable analytical workflows.
- Create and update DataConnect visualizations, datasets, and reports in AWS QuickSight.
- Check analytical outputs and record assumptions, methods, limitations, and findings.
- Work with data engineers to clarify data needs, address quality issues, and improve analytical datasets.
- Turn business questions into measurable analyses with guidance from senior colleagues and stakeholders.
- Produce reusable, version-controlled code and basic unit tests for analytical functions and data transformations.
- Share findings in written summaries, visualizations, and team demonstrations.
- Follow requirements for data privacy, security, governance, and responsible data use.
- Take part in Agile planning and refinement, peer reviews, and ongoing learning.
- Carry out other assigned duties.
Talablar
- Bachelor’s degree.
- At least two years of experience using Python for data analysis, data preparation, and statistical modeling.
- Ability to obtain and maintain a Public Trust clearance.
- Must live in and be authorized to work in the United States.
- Must have lived in the United States for three full years within the past five years.
- Bachelor’s degree in data science, statistics, mathematics, computer science, engineering, economics, or a related quantitative discipline.
- Basic SQL skills, including joins, aggregations, filtering, and data validation.
- Understanding of core statistics, data preparation, exploratory analysis, and model evaluation.
- Experience with PostgreSQL or another relational database.
- Experience with Databricks, Spark, notebooks, or cloud analytics platforms.
- Experience building visualizations or dashboards with AWS QuickSight or a comparable business intelligence tool.
- Experience with Python data science libraries such as pandas, NumPy, scikit-learn, or PySpark.
- Familiarity with TypeScript.
- Familiarity with Git, code review, unit testing, CI/CD, or Agile development practices.
- Exposure to data governance, metadata, data quality, privacy, or responsible AI practices.
- Experience working with health, public sector, or other regulated data.
Imtiyozlar
- Reasonable accommodations are available for people with disabilities, disabled veterans, and sincerely held religious beliefs.
- Equal opportunity employer.
- Benefits information is provided under the Transparency in Coverage Act.