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Head of Data Science at Competera

Remote: 
Full Remote
Work from: 
Cyprus

Offer summary

Qualifications:

Experience in similar position in scale-up company, Experience in Retail industry, Knowledge of MLOps and Python stack for ML.

Key responsabilities:

  • Own ML Strategy aligned with Tech, Company, & Product
  • Collaborate with stakeholders & manage DS/ML teams
  • Make tough decisions & optimize organizational structure
Competera Pricing Platform logo
Competera Pricing Platform Scaleup https://competera.ai
51 - 200 Employees
About Competera Pricing Platform
Welcome to Competera, where we’ve been rewriting retail pricing rules with AI's power since 2017. Gone are the days of struggling with outdated pricing methods. With Competera, you gain access to cutting-edge AI technology that optimizes your pricing decisions, leading to remarkable results for your business. That’s not all. Our platform delivers 1.1 billion annual data points directly to you, empowering you with actionable insights to drive your pricing strategy forward. $60 billion revenue optimized by Competera’s AI Pricing engine speaks for itself. But numbers only tell part of the story. When you partner with Competera, you join a community of forward-thinkers and visionaries, acknowledged as Gartner and Forrester's representative retail pricing and promotion solutions vendors. The pricing expertise you get with Competera will be empowered by our Advisory Council, which includes retail professionals with decades of experience. Moreover, with 32 partners in our network, you get access to the expertise of prominent minds in data analytics, retail solutions, automation, and A/B testing. Say goodbye to long hours spent on repricing – our platform slashes the time from 60 to just 4 hours weekly, tailored precisely to fit your needs with 930 context-specific AI submodels. Our advanced algorithms consider over 20 factors beyond elasticity, backed by an AI model trained on 10 billion transactions to propel your business forward. Our clients experience tangible benefits daily, from a remarkable 6% increase in gross profit to a 98% improvement in matching quality. You will be in good company with 49 clients across 18 countries who share our vision. We also established the Pricing Heroes podcast and the Retail Pricing Community to exchange retail insights and provide you with a knowledge base from top-notch pricing influencers. Let’s talk about the full potential of your pricing strategy!
See more Competera Pricing Platform offers

Job description

In Competera, we are building a place where optimal pricing decisions can be made easily. We believe that AI technologies will soon drive all challenging decisions and are capable of helping humans be better. We are now looking for a Head of Data Scientist to change the way we deliver our solution to customers.

Responsibilities:

1. Own the Competera’s ML Strategy

1.1 Ensure ML Strategy is aligned with Technology, Company and Product Strategies

1.2 Own ML OKRs

2. Collaborate with stakeholders and top management on a regular basis

2.1 Regular stand-ups

2.2 On-demand meetings

2.3 Strategic sessions

3. Participate in regular company meetings as a speaker

4. Communication with customers and their DS/ML teams.

5. Decide whether DS/ML/DA expertise is needed in the teams and be responsible for hirings

6. Mentorship and management of Senior and Lead DS and ML engineers

Requirements:

- Experience in a similar position in the company that moved through the scale-up stage

- Ability to make tough decisions

- Leadership and mentorship

- Optimization of organizational structure

- Experience in the Retail industry

- Worked on tabular and/or Time Series problems

- Knowledge of the current state of MLOps. Applied the MLOps principles on their work

- Experience with Python stack for ML

Desirable requirements:

- Experience in Causal Inference problems

- Experience with Probabilistic Programming

- Experience with optimization problems (marketing spends optimization, price optimization, budgets allocation, etc.)

- Development of XAI (eXplainable AI) in sensitive industries (finance, trading, medicine, insurance, aerospace industry, etc.)

- Experience with entities matching (or deduplication) problems

- Knowledge of System Design best practices and approaches for complex systems

- Knowledge of solutions and cloud architecture for DS and ML in public clouds

Soft skills

Must Have:

- Exceptional human and leadership skills

- Being an inspirational leader and role model

- Public speaking skills

- Ability to explain in 60 seconds to a 70 years old grandma and 5 years old kid of how

AI/Business/Organization/etc. works.

Nice to Have:

- Negotiation skills

- Good understanding of human Psychology

Drive innovations with us. Be a Competerian.

Required profile

Experience

Spoken language(s):
English
Check out the description to know which languages are mandatory.

Hard Skills

Probabilistic DesignRetail ExperienceCausal InferenceSystems DesignMLOps (Machine Learning Operations)StreamliningMathematical OptimizationExplainable AI (XAI)Python For Data AnalysisMotivational Leadership

Other Skills

  • Organizational Skills
  • Public Speaking
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