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Flix

Data Scientist - Team BusFactor

Flix is hiring a Data Scientist - Team BusFactor for a remote role open to applicants in Poland. It pays $89-$119/hr and Level rates it ; you can apply on Flix.

Level's read on this job

  • Level rates this data scientist role Builds AI ●●●●: the job is building AI systems.
  • The posting lists this role as remote.
  • Tools and skills the posting cites include Python, SQL and demand forecasting.
  • Level lists 161 other open roles at Flix.
  • The role was posted in the last few days.

AI in this role

Build and deploy machine learning models for demand forecasting and price elasticity on a B2B contract basis.

PythonSQL
demand-forecastingprice-elasticitypricing-modelsrevenue-managementmachine-learningstatistics

Rate: 89 – 119 / hour (B2B)

We are looking for an experienced Data Scientist to engage with Flix on a freelance/service agreement basis (B2B contract). This is a contractor engagement for a professional who wants to work on impactful, hands-on data science challenges like estimating price elasticity from noisy booking data, testing new demand signals, and turning a sound method into a model that runs in production.

Scope of Services

Bring expertise in data science and quantitative analysis to work within Flix's Revenue Management System and build demand forecasting and price elasticity models.

About the Engagement

  • Further develop demand forecast and price elasticity models that drive automatic pricing across the Flix network
  • Research and test improved approaches to modelling price elasticity — from first hypothesis to validated, production-ready model
  • Act as a subject-matter expert partner for forecast and pricing models, advising product and business counterparts on problems, solution ideas, and feasibility
  • Actively contribute your ideas to technical brainstorming and modelling discussions as advisor
  • Effectively collaborate with others to implement solutions and ensure they are practical to operate reliably in production
  • Monitor and analyse the behaviour of pricing products and respond to support cases
  • Contribute to the technical health, reliability, and observability of the existing system

About You

  • Strong academic background in mathematics, physics, statistics, operations research, quantitative economics, or a related field, with a solid grounding in statistics and data analysis
  • Alternatively, proven hands-on expertise in price elasticity or demand modelling, for example from pricing or revenue management in transport, travel, hospitality or retail
  • Critical thinking and attention to detail: You question assumptions, check your results and derive your own solutions in a complex environment.
  • Programming experience — preferably Python; strong background in another language is acceptable
  • Good SQL skills
  • Basic knowledge of machine learning
  • Strong communication skills to explain your approach and results clearly to technical and non-technical colleagues
  • You implement your models yourself and care that they run reliably
  • You enjoy working with others, and you can build resilient working relationships with your stakeholders, even in a remote setup

Cooperation model

  • Cooperation based on a service agreement (B2B/freelance contract), not an employment contract.
  • You will operate as an independent contractor, responsible for delivering agreed services and submitting invoices
  • Location: open for contractors based in Poland

How we rate this

Data Scientist - Team BusFactor at Flix rates 80 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Demand ForecastingPrice ElasticityPricing ModelsRevenue ManagementMachine learningStatisticsPythonSQL

Also common in data scientist jobs at this level

Pay

Typical data scientist job
$168k

Use the typical data scientist figure as a reference when pay comes up. See data scientist jobs

Questions you could be asked

  1. Tell me about a project where demand forecasting was part of your work. What did you do?
  2. Tell me about a project where price elasticity was part of your work. What did you do?
  3. Tell me about a project where pricing models was part of your work. What did you do?
  4. Tell me about a project where revenue management was part of your work. What did you do?
  5. Tell me about a project where machine learning was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Demand Forecasting, Price Elasticity, Pricing Models, Revenue Management, and Machine learning. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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