Location:
Warszawa, PL, 00-841
Company: Allegro sp. z o.o.
Team: Technology
Contract Type: Employee
Your main responsibilities:
- Data Modeling and Analysis: Creating complex data models using machine learning, deep learning and statistics to understand and predict patterns.
- Data Processing and Automation: Employing Python and SQL on cloud platforms (mainly GCP), to process and automate petabytes of data.
- Geospatial Analytics: Using GIS tools, Python GIS libraries and location-based data to extract insights and improve decision-making.
- Operational Excellence: Identify and mitigate supply chain bottlenecks, manage volume load across different routes, and dynamically allocate volume between Allegro’s own operations (AOK) and third-party carriers.
- Research Participation: Involvement in research activities whose findings and recommendations directly influence the development direction of our products.
- Data Management: Collaborating with engineers to foster the availability, integrity, accuracy, and reliability of data and pipelines.
- Collaboration: Working with the team to tackle complex issues, mentoring junior members, and fostering knowledge sharing.
- Communication and Data Visualization: Providing clear, visually focused communication of advanced data insights to non-technical stakeholders through report writing and presenting.
This is the right job for you if:
- You graduated with a degree strongly related to statistical/mathematical modeling, such as Mathematics, Physics, Economics, or Computer Science.
- You have a minimum of 4 years of experience in a Data Scientist role or a similar capacity.
- You are proficient in programming languages, libraries and tools like Python, Pandas, SciKit-Learn, CatBoost, XGBoost, TensorFlow, Matplotlib/Plotly, Optuna, Poetry, Git, and Tableau/Looker Studio.
- You have experience with analyzing large data volumes using technologies like SQL (BigQuery) and GCP Platform (including Airflow and Vertex AI).
- You have good grasp of statistical, machine learning and deep learning methods.
- You have strong analytical skills for interpreting complex data.
- You quickly learn new technologies and keep updated with industry trends.
- You are eager to translate business problems into ML solutions.
- You are committed to fostering a team-oriented environment centered around shared problem-solving.
- You can effectively communicate with business units, from formulating an analytical problem to providing a clear and intuitive presentation of results.
- You are familiar with PySpark, GeoPandas, Shapely, spatial indexes, Carto, Esri, Kubernetes is preferred.
What we offer:
- A hybrid work model that you will agree on with your leader and the team. We have well-located offices (with fully equipped kitchens and bicycle parking facilities) and excellent working tools (height-adjustable desks, interactive conference rooms).
- Annual bonus up to 10% of the annual salary gross (depending on your annual assessment and the company's results).
- A wide selection of fringe benefits in a cafeteria plan – you choose what you like (e.g. medical, sports or lunch packages, insurance, purchase vouchers).
- English classes that we pay for related to the specific nature of your job.
- 16" or 14" MacBook Pro with M1 processor and, 32GB RAM or a corresponding Dell with Windows (if you don’t like Macs) and other gadgets that you may need.
- Working in a team you can always count on — we have on board top-class specialists and experts in their areas of expertise.
- A high degree of autonomy in terms of organizing your team’s work; we encourage you to develop continuously and try out new things.
- Hackathons, team tourism, training budget and an internal educational platform, MindUp (including training courses on work organization, means of communications, motivation to work and various technologies and subject-matter issues).
This may also be of interest to you:
Allegro Tech Podcast https://podcast.allegro.tech/
Allegro Tech Podcast https://podcast.allegro.tech/
Send in your CV and see why it is #dobrzetubyć (#goodtobehere)
Don’t wait until you join us! Let's meet online!
Get to know our team, take a peek at our office life and check out what else we do at Allegro.
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