Data Scientist - Location Intelligence

Job Description

A hybrid work model requires at least 1 day a week at the office.

About the team

Welcome to the DEX Location Intelligence's Data Science team, where we pride ourselves on driving data-driven insights that propel the business forward. Our expertise spans across many areas including geospatial analysis, wherein we utilize a mix of GIS, spatial databases, and advanced statistical software. This empowers us to discover hidden patterns and trends in spatial data, leading to optimization in route planning, asset allocation, and a superior understanding of our service areas.

Further, we delve into network planning applying strategic thinking and modeling techniques. This facilitates us in devising optimal routes for delivery and managing our distribution network. We also hold proficiency in delivery time prediction, leveraging predictive analytics and machine learning to the best of their capacity. Consequently, we transform large volumes of data into actionable insights that make a significant difference in our business operations and decision-making.

Join us on this exhilarating journey as we pave the way for a seamless exploration of the world of Allegro’s geospatial data.

In your daily work you will handle the following tasks:

• Data Management: Collaborating with engineers to foster the availability, integrity, accuracy, and reliability of data and pipelines.
• Data Processing & Automation: Employing Python, PySpark, BigQuery, XGBoost, TensorFlow to process and automate petabytes of data.
• Research Participation: Involvement in research activities whose findings and recommendations directly influence the development direction of search products.
• Data Modeling/Analysis: Creating complex data models using machine learning and statistics to understand and predict patterns.
• Geospatial Analytics: Using GIS tools and location-based data to extract insights and improve decision-making.
• Delivery Time Predictions: Adopting advanced data analysis and machine learning to predict delivery times, including crafting algorithms and performing simulations.
• Collaboration: Working with the team to tackle complex issues, mentoring junior members, and fostering knowledge sharing.
• Communication/Data Visualization: Providing clear, visually focused communication of advanced data insights to non-technical stakeholders through report writing and presenting.

We are looking for people who:

• Education: Graduated with a degree strongly related to statistical/mathematical modeling, such as Mathematics, Physics, Economics, or Computer Science.
• Experience: Has a minimum of 3 years of experience in a Data Scientist role or a similar capacity
• Problem-Solving Skills: Eager to translate business problems into ML problems.
• Communication Skills: Can effectively communicate with business units, from formulating an analytical problem to providing a clear and intuitive presentation of results.
• Data Analysis Skills: Basic experience with analyzing large data volumes using technologies like SQL/BigQuery, GCP Platform, Airflow, and Vertex AI.
• Team Player: Committed to fostering a team-oriented environment centered around shared problem-solving.
• Critical Analyzer: Have strong analytical skills for interpreting complex data.
• Adaptability: Quick at learning new technologies and keeping updated with industry trends.
• Technical Understanding: Good grasp of statistical and machine learning methods.
• Mandatory Technical Skills: Proficient in programming languages and tools like Python, CatBoost, XGBoost, Git, Scikit-learn, Matplotlib/Plotly, Pandas, and Tableau/Looker Studio.
• Desired Technical Skills: Familiarity with GeoPandas, Shapely, spatial indexes, Carto, and Esri is preferred.

Additionally, we offer:

• Well-located offices (with fully equipped kitchens and bicycle parking facilities) and excellent working tools (height-adjustable desks, interactive conference rooms)
• 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)
• If you want to learn more,  check it out

Why is it worth working with us?

• Data-Driven Impact: Data Science plays a key role in the operation of Allegro. As a data-driven technology company, our models and analyses significantly impact one of the world's largest e-commerce platforms.
• Diverse Challenges: With a wide range of projects, you will never run out of interesting challenges.
• Team Support: Collaboration with experienced Data Scientists provides plenty of opportunities for idea exchange. We have top specialists and experts on board.
• Access to Data: You will have access to extensive data sets and the latest data processing technologies.
• Skill Development: You will learn valuable programming, engineering, and code management practices.
• Knowledge Sharing: We are active in industry conferences and trainings, contributing to the Data Science/Machine Learning community in Poland and globally.
• Expertise: Our deep understanding spans geospatial technologies, delivery time prediction, and location intelligence. We preempt and tackle complex problems.
• Data Analysis: Our team extracts meaningful insights from significant data sets, thus enhancing business strategies with data-backed decisions.
• Innovation: exposure to diverse projects fuels our innovation. This catalyzes the development of fresh and potentially revolutionary solutions.
• Final Product Impact: We collaborate closely with businesses to exceed expectations and shape the final product.
• Proven Solutions: Our solutions aren't just theoretical. They demonstrate effectiveness and performance in real-world production environments.

This may also be of interest to you:

Allegro Tech Podcast → https://podcast.allegro.tech/

Send in your CV and see why it is #dobrzetubyć (#goodtobehere)