(Fermé)Pathway
Data Scientist - Python (Mid-senior, Senior)
- +2
- +5
- Paris, Île-de-France, France
- +2
- +5
- Paris, Île-de-France, France
À propos
About Pathway
Deeptech start-up, founded in March 2020.
#J-18808-Ljbffr- Our primary developer offering is an ultra-efficient Data Processing Framework (unified streaming + batch) with a Python API, distributed Rust engine, and capabilities for data source integration & transformation at scale (Kafka, S3, databases / CDC,...) .
- The single-machine version is provided on a free-to-use license (pip install pathway).
- Major data use cases are around event-stream data (including real-world data such as IoT), and graph data that changes over time.
- Our enterprise offering is currently used by leaders of the logistics industry, such as DB Schenker or La Poste, and tested across multiple industries.
- We have operations across Europe and in the US.
- We are headquartered in Paris, with significant support from the French ecosystem (BPI, Agoranov, WILCO,...).
- be working with spatiotemporal data with advanced schemas (time-changing graph models) /
- be designing data cross-sections, proposing analytics metrics and KPI's in line with clients' objectives, selecting clustering algorithms, and preparing visualizations, to enable fast data exploration and insight discovery all within our product.
- be designing dashboards in SQL with some Python elements / extensions.
- be directly helping us with Customer Conversion and Adoption within Customer organizations, by contributing to both deployment instances and demonstrators of our product, performed on client data sets.
- work directly with our Product Owner and CTO to propose and implement extensions to our product, based on repetitive client needs.
- depending on your seniority, implement machine learning algorithms on spatiotemporal event streams and other geospatial data.
- Ready for hands-on contribution to the product, helping to ensure the success of demonstrators for clients, and contribution to product codebase.
- Intuitive, with good visual taste, and good common sense judgment.
- Committed to beautiful user-centered design: you know that stories are made for people, and you are willing to listen to what they have to say.
- Curious at heart and excited to work with real-world data, especially spatio-temporal data.
- Like trains, trucks, cranes, pythons, pandas, and other things that move.
- Not afraid to switch between the roles of data scientist, data-vis magician, statistician, engineer, and detective, at a moment's notice.
- Have 2 years+ experience in positions related to Data Science.
- Have a very good working knowledge of Python.
- Know SQL. Are able to work with tables and other data types (arrays, json, ).
- Would be able to implement the Transit Node Routing algorithm in Python just based on reading its Wikipedia article.
- Have experience with git, build systems, and CI/CD.
- Have at least basic undergrad textbook familiarity with graph algorithms, finite automata, and text (string) search algorithms.
- Understand statistical concepts, such as correlated random variables, significance, and non-Gaussian noise.
- Prepared to be quized & grilled by the datasets you encounter, everyday. Here are some questions you should be able to answer off the top of your head: what can -273.
- 15 means; why 65535 is a suspicious integer value; how many months does it take a containership to go around the world; and, roughly what order of g-force is achieved by an astronaut in a space rocket at liftoff?
- Respectful of others
- Fluent in English
- Showing a portfolio: code on github, visualization works, a research paper or a PhD thesis with an original statistical / probabilistic analysis or experiment design,
- Successful track-record in Data Science or algorithms contests (Kaggle, Codeforces, )
- Experience in topics related to logistics / moving assets.
- Familiarity with some form of GIS software.
- Familiarity with Pandas, SciPy, NetworkX, and similar tools from the Python stack.
- Experience in Data Visualization and UX.
- Some knowledge of French, Polish, or German.
- Join an intellectually stimulating work environment.
- Be a pioneer: you get to work with a new type of data processing.
- Work in one of the hottest data / AI startups in France.
- Uncover exciting career prospects.
- Make significant contribution to our success.
- Join & co-create an inclusive workplace culture.
- Type of contract: Permanent employment contract
- Preferable joining date: February 2023. The positions (at least 2) are open until filled.
- Compensation: annual salary of €50K-€70K (mid) up to €60K-€90K (senior, upper band negotiable) + Employee stock option plan.
- Location: Remote work from home. Possibility to work or meet with other team members in one of our offices:
- Paris Area Drahi X-Novation Center, Ecole Polytechnique, Palaiseau.
- Paris Agoranov (where Doctolib, Alan, and Criteo were born) near Saint-Placide Metro (75006).
- Wroclaw University area.
Compétences idéales
- Python
- SQL
- Git
- Pandas
- SciPy
Expérience professionnelle
- Data Analyst
- Data Scientist
Compétences linguistiques
- English