
Competera
In 2022, Competera Pricing Platform was recognized as the High Performer 2022 by G2 Crowd and, in 2023, won the Best Retail Insights by National Retail Federation VIP Awards 2023.
Competera awards:
- Best Retail Insights by NRF VIP Awards 2023
- Trusted vendor 2022 by Crozdesk
- High Performer 2022 by G2 Crowd
- Top 3 startups at the AI Summit, London Tech Week
- Best Analytics / BI Solutions at E-commerce Germany Award
- Top 1 eCommerce Solutions Software 2019 by Crozdesk
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· 69 views · 7 applications · 16d
Middle Data Scientist
Full Remote · Countries of Europe or Ukraine · Product · 2 years of experience · IntermediateIn 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 Middle Data Scientist...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 Middle Data Scientist to change the way we deliver our solution to customers.
You could be a perfect match for the position if
You want to:
- Validate datasets to ensure data accuracy and consistency.
- Design proof-of-concept (POC) solutions to explore new approaches.
- Develop technical solutions by mapping requirements to existing tools and functionalities.
- Train models and create custom approaches for new domains.
- Troubleshoot data processing and model performance issues.
You have:
- 2+ years of experience in data science or a related field.
- Strong SQL skills for data manipulation and extraction.
- Proficiency in Python, with the ability to write modular and readable code for experiments and prototypes.
- A solid mathematical background, preferably in a Computer Science-related field.
- Expertise in scientific Python libraries, including NumPy, pandas, scikit-learn, and either Keras/TensorFlow or PyTorch.
- Familiarity with Time Series Forecasting methodologies.
- Experience in statistical testing, including A/B testing.
- 1+ years working with tabular and multimodal data (e.g., combining tabular data with text, audio, or images).
- Upper-intermediate or higher English level.
Soft skills:
- Analytical mindset and critical thinking to solve complex problems.
- Agile approach, with the ability to experiment and test hypotheses in a dynamic business environment.
- Business-oriented thinking, capable of translating complex models into clear business insights.
- Curiosity and a drive for continuous learning in the data domain.
- Strong team player, able to collaborate across cross-functional teams.
You’re gonna love it, and here’s why:
- Rich innovative software stack, freedom to choose the best suitable technologies.
- Remote-first ideology: freedom to operate from the home office or any suitable coworking.
- Flexible working hours (we start from 8 to 11 am) and no time tracking systems on.
- Regular performance and compensation reviews.
- Recurrent 1-1s and measurable OKRs.
- In-depth onboarding with a clear success track.
- Competera covers 70% of your training/course fee.
- 20 vacation days, 15 days off, and up to one week of paid Christmas holidays.
- 20 business days of sick leave.
- Partial medical insurance coverage.
- We reimburse the cost of coworking.
Drive innovations with us. Be a Competerian.
More -
· 56 views · 4 applications · 19d
Data Engineer (RnD team)
Full Remote · Countries of Europe or Ukraine · Product · 3 years of experience · IntermediateIn 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 Data Engineer to...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 Data Engineer to improve our data processing pipelines from performance, cost and correctness standpoints.
You could be a perfect match for the position ifYou want to:
- Migrate BigQuery workloads to Spark 3.5 on Databricks.
Re-engineer our daily-TB batch jobs into Delta Lake pipelines that run faster and cost less. - Turn full reloads into true incremental processing.
Build CDC / MERGE logic so we scan only the data that changed and deliver fresh features within minutes. - Add quality gates & observability from day one.
Instrument every stage with custom metrics, data-drift alerts and cost reports the product team can read. - Set up monitoring & slot-second cost dashboards.
Expose processing-time, SLA and $-per-feature charts so we can make data-driven trade-offs. - Pair with Data Scientists and Product Managers.
Work side-by-side with Data Scientists and Product Managers from idea to release, instead of simply passing datasets back and forth. - Continuously tune for scale.
Dozens of terabytes move through the platform daily; you’ll experiment with partitioning, Z-ORDER, and Photon to keep latency low as volume grows.
You have:
- 3+ years of experience in data engineer role.
- Strong knowledge of SQL, Spark, Python, Airflow, binary file formats.
- English level - Upper-intermediate +.
Pleasant extras:
- Databricks, GCP, BigQuery, Kafka, data modeling patterns, data quality approaches and tools.
Soft skills:
- Product mindset.
- Ability to work in a fast-paced environment.
- Willingness to take ownership of a feature and guide it through all stages of the development lifecycle.
- Proactivity, openness, desire to dive deep into the domain and learn new approaches and tools
You’re gonna love it, and here’s why:
- Rich innovative software stack, freedom to choose the best suitable technologies.
- Remote-first ideology: freedom to operate from the home office or any suitable coworking.
- Flexible working hours (we start from 8 to 11 am) and no time tracking systems on.
- Regular performance and compensation reviews.
- Recurrent 1-1s and measurable OKRs.
- In-depth onboarding with a clear success track.
- Competera covers 70% of your training/course fee.
- 20 vacation days, 15 days off, and up to one week of paid Christmas holidays.
- 20 business days of sick leave.
- Partial medical insurance coverage.
Drive innovations with us. Be a Competerian.
More - Migrate BigQuery workloads to Spark 3.5 on Databricks.