- 경험
- 어느
- 샐러리
- USD 77,600 – USD 176,000 / year
- 채용 공고
- 1
- 게시됨
- 2시간 전
- 작업 모드
- 사무실에서
- 교육
- 학사 학위
- 적임
- Candidates must hold a bachelor's degree and have TS/SCI clearance. Applicants should also bring relevant experience in data science, analytics, or data engineering tasks.
- 재개하다
- 신청 시 필수 사항
당신이 일하게 될 곳
직무 설명
Role overview
This opportunity is for a Data Scientist position based in Washington, DC, hired on behalf of a Haystack partner. The role focuses on turning complex datasets into practical insights and decision support through a mix of analysis, engineering, and modeling work.
What you will do
- Explore, clean, analyze, visualize, and mine data to uncover useful patterns and insights.
- Build and implement algorithms and data systems for advanced analysis.
- Develop ETL workflows, work with APIs, and prepare data for reliable storage and use.
- Create automated analytical tools, methods, and software to support recurring analysis.
- Convert complex datasets into clear, actionable intelligence that supports decisions.
- Collaborate with clients to understand requirements and deliver data-driven solutions.
What you need
- Hands-on background in data exploration, cleansing, analysis, visualization, data science, or data mining.
- Strong coding ability in data-focused languages such as Python, R, or SQL.
- Experience building ETL pipelines, including API access and data preparation.
- Working knowledge of version control systems such as Git, GitLab, GitHub, or Bitbucket.
- Understanding of statistics, predictive modeling, and machine learning techniques.
- Ability to design automated analytical software and algorithms.
- A bachelor's degree is required.
- Active TS/SCI clearance is mandatory.
Compensation and benefits
- Annual salary range: $77,600 to $176,000.
- Full benefits package covering health, life, and retirement plans.
- Support for professional growth, including tuition assistance.
- Work culture that recognizes employee contributions and promotes work-life integration.
- Access to modern tools and technologies used in data science.
Additional information
The role is full time and onsite in Washington, DC. No separate eligibility note, openings count, or start date was provided beyond the requirements listed above.