Data Scientist - Location Intelligence
Data Scientist - Location Intelligence
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Job Description
A hybrid work model requires at least 1 day a week at the office.
About the team
Welcome to the DEX Location Intelligences Data Science team where we pride ourselves on driving datadriven 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 decisionmaking.
Join us on this exhilarating journey as we pave the way for a seamless exploration of the world of Allegros 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 locationbased data to extract insights and improve decisionmaking.
- 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 nontechnical 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
- ProblemSolving 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 teamoriented environment centered around shared problemsolving.
- 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 Scikitlearn Matplotlib/Plotly Pandas and Tableau/Looker Studio.
- Desired Technical Skills: Familiarity with GeoPandas Shapely spatial indexes Carto and Esri is preferred.
Additionally we offer:
- Welllocated offices (with fully equipped kitchens and bicycle parking facilities) and excellent working tools (heightadjustable 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 dont like Macs) and other gadgets that you may need
Working in a team you can always count on we have on board topclass specialists and experts in their areas of expertise- A high degree of autonomy in terms of organizing your teams 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 subjectmatter issues)
- If you want to learn more check it out
Why is it worth working with us
- DataDriven Impact: Data Science plays a key role in the operation of Allegro. As a datadriven technology company our models and analyses significantly impact one of the worlds largest ecommerce 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 databacked 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 arent just theoretical. They demonstrate effectiveness and performance in realworld production environments.
This may also be of interest to you:
Allegro Tech Podcast
Send in your CV and see why it is #dobrzetuby (#goodtobehere)
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
