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Data Scientist, Delivery

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Bolt

Sep 16

  • Job
    Full-time
    Mid Level
  • Product
  • Berlin

AI generated summary

  • You should have 3+ years in data science, Python expertise, experience with models and algorithms, strong collaboration and communication skills, and a track record of deploying models. Product development experience is a plus.
  • You will develop machine learning models, optimize delivery processes, collaborate with cross-functional teams, and deploy solutions to enhance ordering experiences for users.

Requirements

  • 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
  • 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, DBSCAN, Spectral Clustering, gradient boosted trees, deep neural networks, SVM, linear/logistic regression, ranking models and others)
  • Enthusiasm to collaborate with different roles in product, analytics and engineering to identify problems, explore trends and discover 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

Responsibilities

  • Working with a technical stack consisting of Python, Docker, SageMaker, Airflow, Spark, Presto
  • Solving real world problems using gradient boosted trees, mathematical optimisation, time series forecasting, recommender systems, deep learning and more
  • Understanding the core needs of our Delivery businesses and translating their 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 model lifecycle 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
  • Using optimisation techniques for dispatching, demand/supply balancing to minimise the delivery time of our orders
  • Building recommender systems and rankers to provide the best ordering experience to our clients

FAQs

What technical stack will I be working with in this role?

You will be working with a technical stack consisting of Python, Docker, SageMaker, Airflow, Spark, and Presto.

What are the key responsibilities of the Data Scientist in the Delivery team?

You will be building models to estimate food preparation times, developing complex demand forecasting pipelines, creating simulations to understand market conditions, and handling the entire lifecycle from exploratory queries to production machine learning models.

What level of experience is required for this position?

The role recommends at least 3 years of industry experience in data science and machine learning.

Is experience in product development valued for this role?

Yes, you will get extra credits for having product development experience in a technology company.

What programming languages and libraries should I be familiar with?

You should have experience in Python programming, specifically with libraries like Pandas, Numpy, sklearn, and OR-tools.

What types of machine learning methods should I have hands-on experience with?

You should have practical experience with methods for dimensionality reduction and various algorithms such as clustering algorithms, regressors, classifiers, and ranking models.

How important are communication skills for this role?

Strong verbal and written communication skills in English are essential for collaborating with different teams and stakeholders.

Will I be working alone or in a team?

You will be working in product feature teams alongside data analysts, product managers, and software engineers.

Can I apply if I don’t meet every requirement listed in the job description?

Yes, even if you don’t tick every box, you are encouraged to apply if you feel you possess the drive, intelligence, and integrity described.

What benefits does the company offer?

The company offers a rewarding salary and stock option package, wellness perks, flexibility of hybrid work, and opportunities for professional growth.

How does this role impact Bolt's customer experience?

You will be deploying and validating solutions that serve millions of users, enabling fast feedback and measurable added value to customers.

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Bolt

Making cities for people, not cars.

Technology
Industry
1001-5000
Employees
2013
Founded Year

Mission & Purpose

At Bolt, we're building a future where people don’t need to own personal cars to move around safely and conveniently. A future where people have the freedom to use transport on demand, choosing whatever vehicle's best for each occasion — be it a car, scooter, or e-bike. We're helping over 100 million customers move around in more than 500 cities globally, while also supporting more than 3 million drivers. The best bit? We're only just getting started.