Welcome to the DEX Location Intelligences Data Science team, where we pride ourselves on driving data-driven insights that propel the business forward. Our expertise spans across many areas of geospatial analysis like origin destination volume management (ODVM), wherein we utilize a mix of GIS spatial databases, advanced statistical software, BigQuery engine and Machine Learning (ML). Geospatial domain 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.
You will be part of a team of data scientists and engineers, working closely with product, operations, and other engineering teams to build predictive models, optimize delivery flows, and ensure cost-effective parcel routing.
Join us on this exhilarating journey as we pave the way for a seamless exploration of the world of Allegro’s geospatial data.
responsibilities :
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.
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
requirements-expected :
Education: Graduated with a degree strongly related to statistical/mathematical modeling, such as Mathematics, Physics, Economics, or Computer Science.
Experience: Has a minimum of 4 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.
offered :
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 Apple Silicon and 32GB RAM or a corresponding Dell with Windows (if you don’t like Macs) procesorem
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)
benefits :
sharing the costs of sports activities
private medical care
sharing the costs of foreign language classes
sharing the costs of professional training & courses
