Data Scientist - Maternity Leave Cover (Long-Term)
Primary stack
Nice to have's
Job description
About the Position
At Bringg, we're on a mission to transform last-mile delivery into a powerful driver of growth, loyalty, and operational excellence. As an AI-powered SaaS platform, we enable retailers and logistics providers to orchestrate smarter, more efficient delivery operations across every fleet type and service level - from same-day to scheduled delivery.
We're looking for a Data Scientist (extended maternity leave cover) to push our ML capabilities further into the platform. Models are already running in production - your job is to make them sharper, keep them honest as the data shifts, and find the next opportunities worth building. This isn't a research-only role. It's an ownership role, end to end.
Responsibilities
- New ML opportunities get identified and proven out before engineering time is spent on them, because you research, prototype, and validate the model first.
- Complex ideas land clearly across teams, because you can explain a model's logic and tradeoffs to engineers, product, and stakeholders without losing the substance.
- Models keep working after they ship, because you own the full lifecycle: development, production deployment, drift monitoring, and retraining as the data changes.
Requirements
- 3+ years' experience as a Data Scientist, working with Python, SQL, and the standard data science toolkit (Jupyter Notebook, Pandas, scikit-learn, TensorFlow, PyTorch)
- BSc in an exact science: mathematics, computer science, or statistics
- Experience building prediction and clustering models using both supervised and unsupervised methods
- Proven ability to own the algorithm/data science lifecycle end to end, from idea to production
- Experience running models in production: feature/prediction drift analysis, alerting, and updating models to work with the latest data
- Familiarity with the MLOps lifecycle
- Comfortable using AI-assisted development tools (e.g., GitHub Copilot) to speed up experimentation and iteration
- Working knowledge of GenAI beyond coding assistants: prompt engineering and building solutions on top of LLMs/multimodal models, since some of our production problems are solved with an LLM rather than a traditional model
- Comfortable working independently on abstract, loosely-defined problems in a fast-moving, agile environment
Nice to Have
- Experience with routing and navigation algorithms
- Experience with Vertex AI or an equivalent cloud ML platform (training, deployment, monitoring)
- Experience engineering geospatial/location-based features (geohashing, lat/lng, zip-code and polygon-based features, geofencing) for real-world prediction models
We Offer
At Bringg, your work runs infrastructure that the world's largest retailers depend on. The product is complex, the customers are demanding, and the stakes are real. The people here are self-directed, curious, and show up when it matters. You won't get a full map, but you won't be alone figuring it out.
About the Company
Worth Showing Up For.
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The ProductBringg is a cloud platform helping retailers and logistics providers to scale up and optimize their customer experiences and logistics operations.We are the #1 unified delivery & fulfillment cloud solution to rapidly improve your delivery capacity, pickup services, and customer experience at scale.Our mission is to help companies scale up and optimize their customer experiences and logistics operations.Our cloud platform connects, automates and orchestrates supply chain technology, people and providers, making innovative delivery and fulfilment models accessible and valuable to everyone.The CompanyWe are a hyper-growth, diverse and innovative tech company with a global presence and a shared mission: to help our customers create smarter logistics, faster deliveries, and of course happier people!At Bringg, we continually aim to foster a synergized environment in order to work towards this shared mission. In order to thrive, we provide our Bringgsters with the platform for personal and professional growth, and ensure a collaborative can-do approach among teams, so that each and every single one of us can reach their full potential.Life At BringgAll Bringgsters, in all our offices, are currently working remotely. We have adjusted to the new work models, equipping our team to be successful working from home while maintaining strong global communication.Once it’s safe, all Bringgsters will have the option of hybrid work, combining the best of working from home with office perks.What Makes a BringgsterPurposeInfluence and make a true impact on millions of lives that are dependent on deliveries every single day, while you work in an organization that helps you contribute to people and the community, and most importantly to yourself.PeopleHaving awesome fellow Bringgsters who will open their zoom door (and their hearts, too) in order to help you push your limits and achieve success in everything you do.OwnershipYour growth and autonomy are our top priority — you are the CEO of your domain and we’ll give you the platform to thrive and conquer your potential.Tecnological StackBringg’s services are evolving with pure continious deployment practices where each feature is delivered to our customers right in time. This leads to necessity of high testing coverage level and DevOps culture.Main technologies here are React and Node.js, both secured with the TypeScript. Variety of data storage sources let’s us connect data to our prosucts in a most effective and performant way.Find Your Next Opportunity