Data Scientist, Geo
Bucharest, Romania
1 zi în urmă

We are building a top European data science team focused on urban mobility and are looking for exceptional people to join our team.

You will enjoy an opportunity to use your creativity in algorithm design and apply cutting-edge technologies to develop models, automate and optimize data-driven decisions and enable the entire organization to tap into the value of ML technologies.

We partner with people from strong technology companies and computer science institutes.

Some examples of real life projects we work on :

  • Using recent traffic patterns for predicting accurate ETAs
  • Inferring most likely client destinations based on their historical patterns
  • Inferring missing map elements (roads, restrictions, traffic lights) using the GPS traces of our drivers
  • A / B experimentation platform and agent-based simulation of cities
  • Your daily adventures will include :

    Working with a technical stack consisting of Python, Docker, SageMaker, Airflow, Spark, Redshift

    Solving real world problems using gradient boosted trees, mathematical optimisation, time series forecasting, recommender systems, deep learning and more

    Translating business problems to technical specifications

    Handling the entire lifecycle from exploratory queries and notebook prototypes to a working machine learning model or other automation that might be serving thousands of calls per second in production

    Leveraging our in-house data and model platform that allow you to launch new projects in a matter of days

    Working in product feature teams together with data analysts, product managers and software engineers

    Discussing the problems and technical innovations within the broader data science team that provides a pool of peers and mentors

    Deploy and validate solutions for millions of users, enabling fast feedback and measurable added value to customers

    We are looking for :

    Industry experience in data science and machine learning (3+ years recommended)

    Awareness of both business and technical aspects of data science

    Experience in Python programming, including libraries like Pandas / Numpy / sklearn / OR-tools

    Experience writing complex SQL queries

    Understanding and practical experience with statistical hypothesis testing

    Proactive mindset, willingness to take initiative and work with little supervision

    Hands-on experience with most used methods for dimensionality reduction, clustering algorithms, rankers, regressors, classifiers, etc (PCA, k-means, DBSCAN, Spectral Clustering, Learning-to-rank approaches, gradient boosted trees, deep neural networks, SVM, linear / logistic regression and others)

    Enthusiasm to collaborate with different roles in product, analytics and engineering to identify problems, explore trends and untap growth opportunities

    Strong verbal and written communication skills in English

    Track record of deploying models to production and measuring the impact

    You will get extra credits for :

    Product development experience in a technology company

    Experience with experimentation or simulation

    Experience with graph algorithms and data structures

    Familiarity with any cloud systems (AWS, Azure, Google app engine)

    Ph.D in a quantitative field

    Why you’ll love it here :

    Your daily duties will have a meaningful impact on millions of people all over the world.

    You’ll be surrounded by the most friendly, supportive colleagues you can imagine.

    As we grow, so will you! Bolt’s fast-paced, challenging environment offers you great opportunities for professional development.

    You’ll always be kept informed. Our bi-weekly All Hands meetings bring our global teams together, ensuring we’re all up to speed and moving forward as one.

    Switching off is important! At Bolt, we like to work hard and play hard. Enjoy our fun team events, office snacks, free merch and more!

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