Marketing Data Scientist
2 weeks ago
Full Time] Data Scientist at CarbonChain (United States) | BEAMSTART Jobs Data Scientist
Full Time
Remote Work
We’re building the infrastructure for the net zero transition, and we’re looking for brilliant builders who want to help define a low carbon future.
We build software to automate the carbon footprinting of supply chains. Banks, traders, and manufacturers use our product to tame the complexity of international supply networks, identify the most carbon-intensive parts, and find greener alternatives. Our company is made up of 10 passionate people with expertise ranging from oil refining to deep learning. Between us we’ve run Amazon’s European supply chain, built JustEat’s corporate meal delivery platform, and monitored industrial emissions with satellites for Al Gore. We’ve got MBAs and PhDs but we know that there’s a lot we don’t know, and we’re hoping you can help fill that gap.
Your job as Data Scientist is to build the datasets, models, and pipelines we need to provide that understanding.
Our data scientists sit side by side with software engineers and designers, making sure that we have the data we need to provide the experience our customers want. Ownership of your projects
Our data science stack is predominantly Python. A typical service might pull together a mix of data from relational and non-relational databases, train a machine learning model nightly, and expose predictions via a Lambda function. We’ve got a huge number of exciting things to build, from interactive visualizations of industrial processes to fluid-dynamics models of shipping emissions.
Data processing with the standard scientific stack (Pandas, Numpy, Scipy) and beyond
Machine learning in Sklearn and (rarely) Pytorch
Data visualization with Plotly, Maptlotlib, and Altair
PostgreSQL and DynamoDB managed databases form the persistence layer - you’ll learn to navigate document and relational databases and appreciate the values in both worlds.
Infrastructure automation is owned by the whole team, helping to spread the DevOps mentality across the whole technology department (and beyond).
Testing approaches from unit testing to integration testing are key to delivering reliable and maintainable solutions.
Quality assurance is owned by the team themselves - we believe that full cycle product ownership should sit tightly within the team.
Agile development, using various approaches from Scrum toElephant Carpaccio , helps us deliver software in small iterations, learning and course-correcting in the process to make sure we deliver the right improvements.
GitHub PRs are an integral part of our core development flow - with reviews to help share knowledge and improve quality.
Continuous delivery is the approach we strive for - with metrics that help us optimise parts of the pipeline that need it the most.
Right to work in the UK and willingness to come to London office 2+ days a week
~1+ years of commercial Data Science experience
~ A demonstrated interest in building products and collaborating tightly with engineers
~ Competitive salary + generous equity package
~ Flexible working hours - we encourage regular breaks and being AFK (away from keyboard) to support your wellbeing
~ Flexible working location (we like to meet in the office couple of times every week)
~£1000 annual development allowance for you to spend on developing your current skills and learning new things
~ Pakt coffee and snacks of your choice in the office
~26days holiday + bank holidays
We help companies automate the accounting of their carbon emissions
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