채용공고 › Delta Air Lines
Operations Research Scientist
추출된 스킬 12건
| 스킬 | 분류 | 수준 | 근거 문장 (원문) |
|---|---|---|---|
| 최적화 솔버 | IT·데이터 기술 | 필수 | Working knowledge in commercial optimization solvers (Gurobi, Cplex, etc.) |
| AWS | IT·데이터 기술 | 필수 | Familiarity with AWS |
| Python | IT·데이터 기술 | 필수 | Proficiency in Python, C++ or other programming languages |
| SQL | IT·데이터 기술 | 필수 | Proficiency in working with relational databases and query authoring (SQL) |
| 고졸 이상 | 학력·법적 자격 | 필수 | Possesses a high school diploma, GED, or high school equivalency. |
| 연령 요건 | 학력·법적 자격 | 필수 | Is at least 18 years of age and has authorization to work in the United States. |
| 취업 자격 | 학력·법적 자격 | 필수 | Is at least 18 years of age and has authorization to work in the United States. |
| 커뮤니케이션 | 직무 역량 | 필수 | Strong written, oral communication, and interpersonal skills |
| 머신러닝 | IT·데이터 기술 | 우대 | Working knowledge of statistical/machine learning tools (e.g., SAS, R, TensorFlow) preferred |
| 석·박사 | 학력·법적 자격 | 우대 | Bachelor's/Master's degree in Operations Research, Industrial Engineering, Computer Science, Data Science, Statistics, Mathematics, or equivalent combination of education and experience |
| 리더십 | 직무 역량 | 언급 | Provide technical leadership to Delta's business units |
| 압박 상황 대응 | 직무 역량 | 언급 | An appropriate candidate will have good technical knowledge of operations research optimization models, simulation models, and core data science/data engineering skillset. The candidate should have excellent organizational and communication skills and feel comfortable in a fast-paced environment. The role will support the delivery of decision support applications based on optimization models and d |
공고 원문
Summary / Purpose
At Delta Air Lines, connection is at the heart of everything we do and guides our every action. We strive to welcome and care for all of our customers during their travels with us and aim to deliver an elevated experience.
Key Responsibilities
- The Operations Decision Science team at Delta seeks an operations research scientist to take on developing data-driven solutions aimed at continually improving airline performance and decision making.
- An appropriate candidate will have good technical knowledge of operations research optimization models, simulation models, and core data science/data engineering skillset. The candidate should have excellent organizational and communication skills and feel comfortable in a fast-paced environment. The role will support the delivery of decision support applications based on optimization models and data science.
- Primary Functions:
- Design, develop, implement, and calibrate optimization products
- Build complex data sets from multiple data sources, both internally and externally.
- Partner with Information Technology to optimize and enhance the database environment for optimal efficiency and best practices
- Provide technical leadership to Delta's business units
- Leverage emerging technologies and identify efficient and meaningful ways to disseminate data and analysis to satisfy the business’ needs
- Lead complex process improvement and project management engagements for both individual business units and cross-divisional initiatives.
- Interface with business unit leaders to develop and maintain internal customer relationships
- Practices safety-conscious environment resulting in employee safety and well-being
Minimum Qualifications
- Working knowledge in multiple optimization methods (LP, MILP, QCP, MIQP, CP etc.)
- Working knowledge in commercial optimization solvers (Gurobi, Cplex, etc.)
- Working knowledge in model tuning/calibration
- Familiarity with AWS
- Proficiency in working with relational databases and query authoring (SQL)
- Proficiency in Python, C++ or other programming languages
- Strong written, oral communication, and interpersonal skills
- Strong project management, organizational, and prioritization skills
- Must be performing satisfactorily in present position
- Consistently prioritizes safety and security of self, others, and personal data.
- Embraces diverse people, thinking, and styles.
- Possesses a high school diploma, GED, or high school equivalency.
- Is at least 18 years of age and has authorization to work in the United States.
Preferred Qualifications
- Bachelor's/Master's degree in Operations Research, Industrial Engineering, Computer Science, Data Science, Statistics, Mathematics, or equivalent combination of education and experience
- Experience in fine tuning and model calibration is preferred
- Working knowledge of GIT, Linux/Unix and Bash/Shell scripting is preferred
- Working knowledge of statistical/machine learning tools (e.g., SAS, R, TensorFlow) preferred
Benefits / Compensation (if stated)
- Not stated (see full benefits list referenced on posting page)
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