Data Scientist (offline)
ABOUT US
CloudMade is the catalyst of change in the connected car industry. For decades, cars have served the same purposes with the same interaction models and same business models. Now all of that is changing. The new era of connected cars is challenging and reshaping an industry. From electric vehicles to car sharing to on-demand taxis, multi-modal transportation and self-learning cars, CloudMade’s products are at the centre of a new type of mobility.
Our products enable a vast number of connected car use cases ranging from personalized search, to chassis customization to mobility apps to radically re-thought navigation. For too long the driver has been expected to learn how to use the car. We’ve flipped that idea on its head. Using CloudMade’s software, the connected car learns about the driver, customizing every imaginable aspect of the car experience - from the tires to the screens in the cabin.
CloudMade’s leadership team is made up of industry veterans with startup and corporate successes behind them at companies like Psion, Microsoft, Macromedia, Oracle, Libratone, Harman-Kardon. We have offices in Menlo Park (California), Munich (Germany), London (UK) and Kyiv (Ukraine).
THE OPPORTUNITY
Connected car business is booming, and we are looking for a Data Scientist to join CloudMade growing R&D who love to delve into large spatial, temporal and social datasets to extract meaning and answer complex, open questions. You will get a freedom of choice over the tools you use, an environment in which you will grow professionally - and the chance to innovate.
Key Responsibilities
Work closely within a team to define required data and methods to solve a given problem
Develop efficient code that can drive innovative analyses of large datasets
Perform exploratory analysis of datasets and communicate the results
Answer questions by using appropriate statistical techniques on the available data sources
Take a self-motivated approach to your work
THE PERSON
Qualifications & Experience
Good knowledge of machine learning
Comfortable with applying descriptive statistical methods and tools
Good presentation/communication skills
Good written and spoken English
Good math skills
Experience with deep learning
MS degree in AI, Machine Learning, Statistics, Computer Science or a related subject
Programming skills - Python, R, (C++, Java as a plus)
Would be a plus:
PhD in AI, Machine Learning, Statistics, Computer Science or related
Experience with MapReduce technologies (Hadoop, HIVE)
Familiarity with NoSQL datastores such as HBASE
Able to build meaningful visualizations of results
Experience with data-mining methods and technologies
Previous work with automotive or IoT data analytics
Previous work on open source projects
Previous experience with image recognition
COMPENSATION AND BENEFITS
CloudMade offers competitive and rewarding salary and benefits package, as well as intellectually and creatively stimulating work environment, flexibility, and unique international travel opportunities.
CloudMade is the catalyst of change in the connected car industry. For decades, cars have served the same purposes with the same interaction models and same business models. Now all of that is changing. The new era of connected cars is challenging and reshaping an industry. From electric vehicles to car sharing to on-demand taxis, multi-modal transportation and self-learning cars, CloudMade’s products are at the centre of a new type of mobility.
Our products enable a vast number of connected car use cases ranging from personalized search, to chassis customization to mobility apps to radically re-thought navigation. For too long the driver has been expected to learn how to use the car. We’ve flipped that idea on its head. Using CloudMade’s software, the connected car learns about the driver, customizing every imaginable aspect of the car experience - from the tires to the screens in the cabin.
CloudMade’s leadership team is made up of industry veterans with startup and corporate successes behind them at companies like Psion, Microsoft, Macromedia, Oracle, Libratone, Harman-Kardon. We have offices in Menlo Park (California), Munich (Germany), London (UK) and Kyiv (Ukraine).
THE OPPORTUNITY
Connected car business is booming, and we are looking for a Data Scientist to join CloudMade growing R&D who love to delve into large spatial, temporal and social datasets to extract meaning and answer complex, open questions. You will get a freedom of choice over the tools you use, an environment in which you will grow professionally - and the chance to innovate.
Key Responsibilities
Work closely within a team to define required data and methods to solve a given problem
Develop efficient code that can drive innovative analyses of large datasets
Perform exploratory analysis of datasets and communicate the results
Answer questions by using appropriate statistical techniques on the available data sources
Take a self-motivated approach to your work
THE PERSON
Qualifications & Experience
Good knowledge of machine learning
Comfortable with applying descriptive statistical methods and tools
Good presentation/communication skills
Good written and spoken English
Good math skills
Experience with deep learning
MS degree in AI, Machine Learning, Statistics, Computer Science or a related subject
Programming skills - Python, R, (C++, Java as a plus)
Would be a plus:
PhD in AI, Machine Learning, Statistics, Computer Science or related
Experience with MapReduce technologies (Hadoop, HIVE)
Familiarity with NoSQL datastores such as HBASE
Able to build meaningful visualizations of results
Experience with data-mining methods and technologies
Previous work with automotive or IoT data analytics
Previous work on open source projects
Previous experience with image recognition
COMPENSATION AND BENEFITS
CloudMade offers competitive and rewarding salary and benefits package, as well as intellectually and creatively stimulating work environment, flexibility, and unique international travel opportunities.
About Bolt
Bolt is one of the fastest-growing startups in the world with over 75M happy customers in 45+ countries, from Europe to LatAm to Africa.We’re building the future of mobility – one platform that connects you with cars, motorcycles, scooters and e-bikes, or food delivery from your favourite restaurant. Fast, convenient and affordable service for everyone.
We believe in a future with less car ownership and flexible urban mobility. By bringing reliable on-demand transport to the masses, we’re helping cities evolve towards decreased traffic congestion and pollution. Having reached a unicorn status in just 5 years, we’re all about hyper-fast growth. And we’re just getting started.
Let’s build the future of transportation together!
We're looking to provide a tight web of services for every distance, price range, or customer need, covering everything from cars to motorbikes to scooters.
- We use microservices architecture, node.js, AWS, Docker, Redis, and many other technologies.
- Kotlin, RxJava for our Android, Swift for IOS and offer freedom to choose own tools.
- Dynamic graph optimization, geospatial analysis, automating ML (incl. GPUs) +RL, GA, sequence modeling on ML and Data Science side
- Self-driving car systems are on the way here.
Company website:
https://careers.bolt.eu/
DOU company page:
https://jobs.dou.ua/companies/bolt/
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