Senior Data Scientist, Blacklane
Carbon-neutral global chauffeur service
Open for applications
Carbon-neutral global chauffeur service
501-1000 employees
Open for applications
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 5 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)
- Experience working with cloud-based ML platforms (e.g. AWS SageMaker or equivalent services)
- 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
- Strong judgment in selecting appropriate models and designing systems that balance accuracy, reliability, and scalability
- Hands-on experience with modern data science tools and ML frameworks, combined with experience building or improving shared ML pipelines and tooling
- Strong analytical and problem-solving capabilities, with the aptitude to interpret complex datasets
- Strong experience operationalizing machine learning systems end to end, including CI/CD, automation, monitoring, and retraining
- Exceptional communication skills, with a collaborative mindset and experience influencing technical direction across teams
- Self-driven, curious, and proactive in staying current with developments in ML, MLOps, and cloud computing
What the job involves
- As a Senior 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
- In this role, you will also play a key part in scaling the data science team by owning and evolving our machine learning platform and operating model
- 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
- Beyond individual use cases, you will be responsible for how machine learning solutions move from idea to production and remain reliable over time
- This position provides avenues for continuous professional development, flexible work options, and participation in an inclusive and diverse work environment
- Design, build, and maintain end-to-end machine learning systems, supporting use cases such as demand forecasting, pricing optimization, customer lifetime value, and churn prediction
- Establish best practices for experimentation, reproducibility, and model evaluation, while analyzing complex datasets to uncover trends, patterns, and actionable insights
- Collaborate with cross-functional teams to understand business needs and translate them into scalable scientific and machine learning solutions
- Collaborate with stakeholders at various levels to propose, discuss, and drive scalable data science solutions, clearly communicating tradeoffs and impact
- Design and evolve shared ML pipelines, tooling, and standards to enable the team to scale efficiently and safely
Salary benchmarks
Our take
Business transport for frequent travellers can be a difficult process. The pain of booking systems, invoicing, and inconsistent service quality 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 with 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 with 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 2024 funding, is ready to expand even further. Alongside this, it has announced a number of recent partnerships, signifying the company's 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
$70.8m
SERIES G
Mar 2021
$26m
LATE VC
Total funding: $174.1m
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.
Share this job
View 14 more jobs at Blacklane