- Developing and deploying advanced Python models for non-linear programming, focusing on SKU pricing optimization to drive business value.
- Hands-on experience in forecasting and time series analysis, with an emphasis on productionalizing code to ensure scalability and reliability.
- Running simulations and experiments on existing models to understand pricing elasticity and refine forecasting strategies.
- Managing data integration and preparing complex datasets for analytics tools to support customer acquisition strategies and operational efficiency.
- Establishing project plans with key milestones, timelines, risk contingencies, and defined ownership to ensure project success.
- Utilizing SQL, Spark, and cloud technologies to build and maintain robust data pipelines that support end-to-end analytical solutions.
- Supporting data quality, cleaning, and integration on an advanced data science platform, identifying data issues, and providing statistical insights for client decision-making.
- 3+ years of experience in Advanced Data Science, specializing in predictive modeling, statistical analysis, machine learning, and time series forecasting.
- Proficiency in Python and R, particularly with non-linear programming applications for elasticity and pricing optimization.
- Practical experience in machine learning, forecasting, deep learning, and optimization, including model deployment in production environments.
- Strong SQL skills and familiarity with relational databases.
- Experience in Spark, working with data frames in PySpark or Scala, and cloud-based platforms (AWS, Azure, or Google).
- Exposure to cloud tools like Databricks and Vertex AI, ideal for model development and deployment, with a focus on streamlining processes for efficiency.
What about languages?
You will need excellent written and verbal English for clear and effective communication with the team.
Our perks and benefits:
🍔Every day lunches! (headquarters)
- Vegetarian, vegan, gluten and sugar-free options.
- Gourmet meals every Friday with our on-site chef!
⚖️ Flexible working options to help you strike the right balance.
👨🏽💻 All the equipment you need to harness your talent (Macbook and accessories).
☕Snacks and beverages available everyday (headquarters).
🎮After office events, football, tennis and game nights (headquarters).
- Everyone is welcome to join our football league every Wednesday’s and Friday’s.
- Challenge your teammates to a pool game and win the office’s trophy!
- Tennis courts available for friendly matches.
- You are not a sports person? Don’t worry, we also have chess championships, game and music nights for you to join!
📚 Learning opportunities:
- AWS Certifications (we are AWS Partners).
- Study plans, courses and other certifications.
- English Lessons.
- Learn from your teammates on our Tech Tuesdays!
👩🏫 Mentoring and Development opportunities to shape your career path.
🎁 Anniversary and birthday gifts.
🏡 Great location and even greater teammates!
So what are the next steps?
We are eager to learn about you! Send us your resume or LinkedIn profile below and we’ll explore working together!
