Career Opportunity - Operations Research Analyst - Statistician / Data Scientist

Strategic Systems Analysis Group (SSAG) provides multiple organizations within the Department of Defense with timely and objective assessments and recommendations that integrate technical, operational, programmatic, policy and business analysis.

Tasks include:  

• Conduct analysis of operational and maintenance data to support Navy submarine fleet operations
• Conduct Monte Carlo based schedule risk assessments
• Integrate statistical and probability analysis methods and results across models and projects
• Create data visualizations in support of decision analysis, model verification, and client communication
• Work with other analysts to process, extract, and analyze data from reports, schedules, and other source material
• Conduct safety modeling statistical analysis and rare event modeling

  Qualifications:

• BA in Mathematics, Statistics, Data Science, Operations Research or related STEM field
• Proficiency with data analysis, regression modeling, Monte Carlo methods, statistical simulation, multivariate analysis, and MS Office applications
• Experience with Python, R, or similar programming language
• Demonstrated proficiency in statistical methods for time series data with discrete and continuous dependent variables.
• Understanding of rare event modeling theories and methods.
• Capable of decomposing complex issues into simplified problem statements and clearly and explicitly connecting analysis to specific aspects of the problem
• Strong written and verbal communication skills
• Must meet eligibility requirements for access to classified information. US Citizen and Eligibility for TOP SECRET security clearance required

 For more details and application instructions, please visit the SSAG website.

Job Opportunity - Data Scientist/Data Analyst, PetDoors.com

 

PetDoors.com is a growing eCommerce website that sells an array of pet doors and is looking to add a part-time Data Scientist. We get 1.3M+ users to our websites annually and sell around $4.5M of pet doors directly on our websites alone, as well as a significant presence on Amazon. This position will get exposure to data driven projects in disciplines such as Paid Search, Search Engine Optimization (SEO), Conversion Rate Optimization (CRO), Website UX/UI, AB Testing, etc.

 

What we are looking for:

• Serious data science & analytics skills
• Experience dissecting complex data to find actionable insights
• You love running multivariate simulations for optimization problems
• Coding skills (R, Python)
• A+ attitude (non-negotiable)
• 20 hours/week commitment

Why this job would be great for you:

• Flexible hours and willingness to work with school schedule
• Open to part-time positions through the school year, transitioning to full-time positions for summer 
• Get experience that will help you get more job offers and will open doors when you graduate
• You’ll learn professional skills that will make you more money
• You’ll work on a challenging, nonlinear project that will require you to flex your stats muscles and transition from theory to data driven decision making in real world business situation

See Handshake for detailed job description and instructions on how to apply.

Application deadline is February 14, 2021.

 

Mathematical Modeling Competition (MCM 2021)

 

There's an international competition in mathematical modeling held every year over 4 days in January or February called the Mathematical Contest in Modeling (or MCM); the 2021 MCM will be held February 4-8, 2021. This contest is open to any undergraduate student enrolled at Cal Poly (full or part time) and is appropriate for undergraduates at any level. Unfortunately, it's not open to students who already have post-baccalaureate standing. It is open to any major as well - it can be a competitive advantage in the MCM to have an interdisciplinary team. 

If you are interested in the competition, please respond to this google survey which includes a scheduling poll for an orientation meeting the week of January 11th.

More information on this competition can be found on the Mathematics Department website.