Sr Operations Research Scientist
Target · Bengaluru · onsite · Posted 43d ago
Undisclosed6–11 yrsfulltimeSourced from
About a minute. You'll make an account on the way through.
About this role
Job Summary
Key responsibilities
About You
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
As a Senior Operations Research Scientist in SCNO, you will study complex supply chain problems, develop a deep understanding of the business, and build cutting-edge solutions. The role requires strong experience working with large data sets, advanced programming skills, and a solid foundation in statistics, probability theory, machine learning, AI, simulations (such as Monte Carlo and discrete event simulation), and operations research.
In addition to technical expertise, success in this role requires a strong appetite for developing business acumen, effective collaboration with cross-functional teams, and excellent communication and presentation skills.
Key responsibilities
- Developing a deep understanding of business problems through data analysis, root cause investigation, and close collaboration with team members.
- Efficiently gathering, analyzing, and processing large data sets by writing optimized code and building scalable data solutions.
- Learning and leveraging existing data science tools and models across different business domains to solve real-world challenges.
- Designing and implementing new applied mathematical models to address complex business problems.
- Interpreting model results to generate actionable insights for leadership.
- Communicating clearly and proactively with business leaders, peers, and stakeholders.
- Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs.
About You
- 6+ years of professional experience with a Bachelors or Masters degree (3+ years for a PhD) in Mathematics, Statistics, Computer Science, or a related field.
- 4+ years of experience with programming in Python, PySpark and open-source data science tools.
- 4+ years of experience applying advanced data science, AI, and operations research techniques.
- Strong problem-solving skills with the ability to address business challenges creatively.
- Skilled in cleaning, transforming, and analyzing large datasets to generate insights.
- Passionate about continuous learning and empirical research, with excellent communication skills, both written and verbal.
- Retail and supply chain experience is a plus.
- Team-oriented with the ability to collaborate effectively across locations and time zones.
- Strong written and verbal communication skills.
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Sourced from naukri
Skills
network optimizationmathematicsDiscrete Event SimulationAnalyticsLogisticsLearning And Developmentguest experienceglobal supply chainCommunication SkillsAdvanced Analyticsdata analysisData ScienceArtificial IntelligenceMachine Learning
About Target
Target
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