Data Science Team Manager

1 miesiąc temu

Warsaw, Polska Allegro Pełny etat

technologies-expected :
Python

technologies-optional :
Google Cloud Platform

about-project :
Welcome to the Delivery Experience (DEX) Location Intelligence's Data Science team, where we pride ourselves on driving data-driven insights that propel the business forward. At DEX, we build the technology we need to make Allegro deliveries easy and reliable. 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.

responsibilities :
As a Data Science Team Manager operating in the geospatial domain, you will handle following tasks:
Data Management: Collaborating with engineers to foster the availability, integrity, accuracy, and reliability of data and pipelines.
Data Processing & Automation: Incorporating 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.

requirements-expected :
We are looking for people who:
Have experience in managing a technical team, can set and deliver realistic, yet ambitious goals
Have expertise in Python, Data Science, Big Data and cloud solution (preferable GCP)
Have good communication and interpersonal skills
Have a positive attitude and ability to work in a team
Are able to work closely with the business (can reconcile technical and business issues)
Are familiar with making difficult decisions
Are eager to constantly develop and broaden their knowledge
Know English on B2 (or higher) level

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
Macbook Pro / Air (depending on the role) or 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)

benefits :
sharing the costs of sports activities
private medical care
sharing the costs of foreign language classes
sharing the costs of professional training & courses
life insurance
flexible working time
integration events
no dress code
leisure zone
extra social benefits

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