Match score not available

Data Scientist - Operations Research

unlimited holidays - extra holidays - extra parental leave - long remote period allowed
Remote: 
Full Remote
Contract: 
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

Rapid learner with coding expertise, Problem-solving and documentation skills.

Key responsabilities:

  • Develop models for optimization problems using Python
  • Evaluate solutions focusing on relevant metrics
AHOY logo
AHOY Computer Software / SaaS Scaleup https://www.ahoy.technology/
201 - 500 Employees
See more AHOY offers

Job description

Calling all data scientists living with a passion for cracking the code in ops research! Trouve Labs is on the hunt for one just like you to join their Research Division in deep tech. Read on for a preview of our team dynamics see if this role is for you: 

Key Responsibilities: 

  • Develop/refine mathematical models for complex optimization problems, with expertise in linear & dynamic programming techniques. 
  • Apply optimization methods for operational challenges, with route planning and resource allocation, utilizing Python for algorithm implementation. 
  • Examine data to identify patterns, constraints, and opportunities for process improvement, using Python for data analysis and manipulation. 
  • Evaluate optimization solutions and algorithms focusing on relevant metrics and goals. 
  • Customize optimization models to meet specific business requirements & unique constraints. 
  • Collaborate with cross-functional teams to integrate optimization solutions into operations. 
  • Document methodologies, findings, and solution implementations clearly and concisely. 
  • Stay updated on the latest operations research techniques, industry trends, and emerging best practices. 

Requirements

Who Should Apply? 

Seeking candidates who: 

  • Show an aptitude for rapid learning and excellence in their field.  
  • Display exceptional documentation skills & a dedication for coding standards. 
  • Embrace diversity, value inclusivity, and collaborate effectively. 
  • Possess pragmatic problem-solving skills, delivering sustainable solutions efficiently. 
  • Flourish in a flat organization without a strict hierarchy. 
  • Are self-driven, disciplined, and adept at working in a team environment. 
  • Are results-oriented, comfortable in environments valuing tangible outputs. 
  • Enjoy working in small, agile teams that strive to change the world. 

Hiring Process: 

Joining our team is an adventure, and our hiring process reflects just that. We are thorough and inclusive and will do our best to ensure the right fit for both you and our team. 

1. Initial Meeting: Picture this as a casual coffee chat with us (or Zoom, if you’re remote). In this meeting, you meet with our founding and core team, a bunch of nerds who occasionally step out of their comfort zone. This meeting is mostly to gauge your soft skills, communication style and to see if we vibe with you on a human level.  

2. Technical Deep Dive: Time to deep dive into your core skills. In this meeting, we gauge your technical skill set, work ethic, and projects you’ve tackled in the past. Basically, we set the stage for the next call.  

3. Test Case Evaluation: We’ll send you a challenge and give you a chance to flex your problem-solving skills. Once you’ve sent it back, our tech team will evaluate it thoroughly.  

4. Mutual Retrospect: Let’s chat! We'll have an open and honest chat about your test case evaluation, and the interview process. We’d love to hear your thoughts on the whole process too! 

5. Final Decision: Drum roll please! If you’re selected for the role, we'll extend the offer your way. Be ready to pop some virtual champagne!  

6. Onboarding: Time to roll up your sleeves and dive in. We’ll get into the nitty gritties like the visa process and health insurance, while you prepare to join us on the agreed upon starting date.  

Additional Information: 

- References may be requested during the hiring process. 

- We may request access to your LinkedIn profile, if available. 

Benefits

So what’s good?

  • No bosses, no hierarchy – we are as flat as they come
  • Unlimited annual leave
  • No one judges you with your experience or degree or nationality, gender, sexual orientation nor religion. Or what you wear
  • ESOP for those who qualify (shares)
  • You get to bloom and flourish in an environment that gives you every chance that you didn’t get before
  • We love making mistakes and learn from them
  • Plenty of support to develop and grow

About the Company: 

Trouve Labs is not just a company – we're a unicorn galloping towards decacorn status! We’re all about breaking boundaries and rewriting the rules as part of an ecosystem that’s akin to a movement, and a force to be reckoned with in tech. Join us and benefit from ESOP opportunities, because we believe in sharing the wealth (literally!). Financial equality and social mobility are not just words to us, they’re a way of life. We value innovation, diversity, and providing opportunities for unlimited growth, personally and professionally. So get ready to make your mark, with Trouve Labs! 

Job Type: Full-time 

Language: 

  • English (Required) 
  • Arabic (Preferred) 

Ability to Commute: 

  • Dubai (Preferred) 

 

Ability to Relocate: 

  • Dubai: Relocate before starting work (Required) 

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Problem Solving
  • Collaboration
  • Results Focused
  • Teamwork

Data Scientist Related jobs