Senior Data Scientist, Hive
+ Stock Options
Operations platform for independent commerce
Job no longer available
Operations platform for independent commerce
201-500 employees
Job no longer available
+ Stock Options
201-500 employees
Company mission
To be the operational brain of your D2C company, so that you can focus on other aspects of your business.
Role
Who you are
- Your background: You have an MS degree in Mathematics, Statistics, Computer Science or a related field
- You have the skills: 5+ years of experience in data science, machine learning, or a similar role. Advanced proficiency in Python, SQL, and machine learning frameworks such as TensorFlow or PyTorch
- You care about the craft: Proven ability to work on complex problems and deliver innovative, data-driven solutions in a fast-paced environment
- You are a self-starter: Demonstrated ability to work independently, manage multiple priorities, and take ownership of outcomes
- Collaboration is key: Excellent communication skills, with the ability to explain complex data insights to both technical and non-technical stakeholders
- You have a passion for E-commerce: Enthusiastic about leveraging data to optimize e-commerce operations and enhance customer experiences
Desirable
- Big Data/ Machine Learning: Experience working with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, GCP). Strong understanding of statistical modeling, optimization techniques, and machine learning algorithms
What the job involves
- As a Senior Data Scientist, you will play a critical role in transforming how Hive leverages data to optimize and scale our operations.
- You will work cross-functionally with engineering, product, and operations teams to develop data-driven insights, build advanced machine learning models, and deliver impactful analytic products.
- Your work will help shape key decisions, improve business efficiency, and enhance the overall customer experience for the brands that trust Hive with their operations
- Build and deploy predictive models, optimization algorithms, and statistical analyses to solve key business problems, such as demand forecasting, inventory optimization, and supply chain efficiency
- Work closely with product managers, engineers, and operations teams to define data-driven strategies and incorporate models into our technology stack
- Design and implement robust data pipelines, ensuring data quality, scalability, and performance
- Lead the design, execution, and analysis of A/B tests and other experiments to validate hypotheses and inform product development
- Mentor junior data scientists, contributing to the growth of the data team, and helping foster a culture of learning and innovation
- Stay ahead of the latest trends in machine learning, AI, and data science to ensure Hive remains at the cutting edge of technology
Our take
Streamlining commerce operations requires the participation of various departments, which can complicate the purchase-to-delivery cycle and lead to delays. Hive’s platform helps to streamline commerce operations through a network of operations providers.
Hive’s Warehouse Management System works in tandem with its Transport Management System to organise and economise the operations of eCommerce businesses. Importantly, its network of solutions means that users can give their customers an accurate delivery date from the moment of purchase online. This leads to a better experience that can help foster loyalty and support repeat purchases.
This is an attractive proposition, especially as eCommerce begins to take over from the high street and consumer expectations continue to rise. Investors have recognised this potential in Hive, which intends to use its latest funding round to accelerate growth and product development, with the aim to reach profitability by 2025.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
Few candidates hear
back within 2 weeks
Company
Funding (last 2 of 3 rounds)
Jun 2024
$19m
SERIES A
Nov 2021
$30.2m
SERIES A
Total funding: $56m
Company benefits
- Virtual employee stock options for all full-time team members
- Operating system and hardware of your choice (plus additional tech equipment that you need, screens, you name it)
- 30 vacation days annually, with the opportunity for a sabbatical after three years with us
- Dedicated monthly wellness and productivity budget
Company values
- Level up our customer - We listen to what our customers need and proactively raise the bar for their success
- Trust in ownership - We trust ourselves and others to take ownership of projects, deliver, and iterate effectively
- Caring meritocracy - We are a sports team not a family. We support each other and make the best ideas win, regardless of background
- Deliver and celebrate results - We set ambitious goals and celebrate them together. We take the time to appreciate each other
- Take responsibility for sustainable actions - We strive to monitor our end-to-end impact and pioneer sustainability in our industry
Company HQ
Mitte, Berlin, Germany
Articles
Leadership
Franz Purucker
(Managing Director)Previously worked in Strategy and Consulting at McKinsey & Company. Was also an Investment Banker at JP Morgan and worked in Venture Development at Rocket Internet.
Leonard Von Kleist
(CTO)Previously Risk Advisory Intern at Deloitte, ML Engineer at Araneum Technologies and Hybrid Mobile Developer at LivingTech.
Oscar Ziegler
(CEO)Previously Junior Engagement Manager at McKinsey & Company. Was also Head of Logistics (HK) at foodpanda and was a Google Student Ambassador.
Salary benchmarks
We don't have enough data yet to provide salary benchmarks for this role.
Submit your salary to help other candidates with crowdsourced salary estimates.
Share this job
View 17 more jobs at Hive