Data Scientist, Blacklane
3+ days a week in office
Carbon-neutral global chauffeur service
Be an early applicant
Carbon-neutral global chauffeur service
501-1000 employees
Be an early applicant
3+ days a week in office
501-1000 employees
Company mission
To make top-quality service convenient and accessible worldwide.
Role
Who you are
- Bachelor's or Master's degree in Data Science, Computer Science, Mathematics, or a related field
- Minimum 2 years of experience in a data science or machine learning engineering role
- Proven track record in designing and deploying machine learning models into production environments, especially using AWS services (e.g. SageMaker, EC2, S3, Lambda, Step Functions)
- Demonstrated proficiency in modeling business problems through the application of machine learning techniques, including feature engineering, model selection, implementation, evaluation, and parameter tuning
- Ability to translate business challenges into mathematical and statistical problems, subsequently proposing and implementing data science solutions
- Possession of comprehensive knowledge regarding various models and algorithms, coupled with the discernment to apply them appropriately to a given challenge
- Hands-on experience with modern data science tools and languages (Python, Pandas, Scikit-learn, etc.), as well as ML frameworks (TensorFlow, PyTorch, XGBoost, etc.)
- Strong analytical and problem-solving capabilities, with the aptitude to interpret complex datasets
- Strong experience in the productionalization and operationalization of machine learning models using standard CI/CD methodologies
- Exceptional communication and presentation abilities, complemented by a strong team spirit and a collaborative working style
- Self-driven, curious, and proactive in staying current with developments in ML, MLOps, and cloud computing
What the job involves
- As a Data Scientist within Blacklane's central data domain, you will leverage scientific and mathematical methodologies to address complex data challenges prevalent in the mobility and luxury transportation sector.
- This role involves close collaboration with product, engineering, and other data teams to enhance profitability, optimize costs, and accelerate growth.
- You will also engage with diverse business stakeholders globally.
- This position provides avenues for continuous professional development, flexible work options, and participation in an inclusive and diverse work environment
- Develop end to end implementation of machine learning models (e.g. demand forecasting, pricing optimization, customer lifetime value and churn prediction models)
- Analyze complex datasets to uncover trends, patterns, and actionable insights
- Collaborate with cross-functional teams to understand business needs and translate them into data requirements
- Collaborate with the stakeholders at various levels to propose, discuss and drive meaningful scientific solutions to solve their business problems
- Act as a reliable expert in data science and ML, providing guidance and mentorship to other team members and fostering a culture of continuous learning and innovation within the data team
Our take
Business transport for frequent travellers can be a difficult process. The pain of booking systems, invoicing, and inconsistent quality of services are issues travellers regularly face, hindering business operations and causing unnecessary delays. Alongside this, Chauffeurs also experience empty cars due to non-optimised booking processes.
Blacklane aims at the higher end of the market, targeting corporate workers, executives and those who have the means to pay extra for higher levels of service when they travel. Through a booking system available on the company's website and in-app, Blacklane provides a reliable high-end service with inclusive pricing and on-call customer support. Blacklane also works for chauffeurs, filling empty seats to optimise services.
The company is also environmentally conscious, operating as a carbon-neutral company since 2017. It offers electric vehicle rides in more than 50 cities and countries and with recent funding, is ready to expand even further. Alongside this, it has announced a number of recent partnerships, signifying the company is in a very good place for future growth.
Freddie
Company Specialist at Welcome to the Jungle
Insights
19% employee growth in 12 months
Company
Funding (last 2 of 6 rounds)
Oct 2024
$70m
SERIES G
Mar 2021
$26m
LATE VC
Total funding: $173.3m
Company benefits
- Personal development: Create a personal development plan. Set goals, learn new skills, and connect with a mentor to help you reach what you want to achieve. Budget for online courses, conferences, and books bolsters your learning journey
- Open feedback culture: Discover a company culture where open feedback and communication is valued. We offer monthly 1:1 chats with our C-level team members, as we believe feedback makes Blacklane a better place to work
- Virtual stock options: Take ownership of your work — literally — with our employee stock option plan. Shares vest over four years at no cost to you. Blacklane’s success is your success
- Flexible work environment: Your work and home lives should exist in harmony. With our hybrid model—working from the office, with flexibility to work from home—you and your team can find the balance that works best for you
- Social events: From Wednesday evening drinks at the office, to twice-a-year department events with budgets for every team, we offer plenty of opportunities to connect with your team and build relationships. And not to brag, but our company parties are legendary
- Blacklane Cares day: Every crew member receives 8 hours of paid leave per year to participate in volunteering initiatives of their choice or lead employee-driven community outreach projects. Utilize your time to lend hands to a cause that drives your passion
Company HQ
Schöneberg, Berlin, BE
Leadership
Dr. Jens Wohltorf
(Co-Founder & CEO)Previously spent 6 years as a Principal at The Boston Consulting Group.
Frank Steuer
(Co-Founder & Member of the Board)Previously co-founder and CTO of Firstfon and CTo of SemperLink.
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