Unlock Your Potential in a Thriving Data Science Company
We're at the forefront of revolutionizing the industry with cutting-edge product technology that's disrupting traditional consulting-based approaches to marketing mix modelling.
This is an exciting opportunity to join a team of brilliant people who are passionate about creating innovative products. Our market-leading product has already gained recognition, and we're regularly closing deals with household name customers based on its strength in the market.
As a data scientist, you'll play a critical role in driving our success by working on various tasks such as:
* Automation of model operations with a focus on quality and customer satisfaction.
* Scaling modelling features from individual customer contexts to global pan-customer contexts.
* Developing novel models and data products.
* R&D POC work leveraging contemporary developments in ML, AI, and statistics.
* Maintaining excellence in software engineering by creating observable, resilient, tested, secure, and scalable applications deployable with CICD, IaC, and complete versioning.
* Documenting data science processes and insights for stakeholders.
To succeed in this role, you'll need:
Key Requirements
* A deep understanding of Python, including standard library knowledge, canonical best practices, and familiarity with multiple ML libraries.
* Proficiency in SQL.
* Knowledge of Bayesian Statistics.
* Experience working with multivariate time series data.
* Implementation of statistical inference algorithms (e.g., particle-filters, variational inference).
* A solid grasp of fundamental mathematics for statistics and machine learning – probability theory, linear algebra, and calculus.
* Machine learning fundamentals.
* A degree in statistics, data science, or a comparable quantitative field (e.g., Engineering, Science).
Bonus Skills
* Strong cloud computing background, preferably with GCP and Pulumi, but also okay if experienced with any cloud and IaC.
* Familiarity with various data stores – relational, OLAP, object, graph, time-series, key-value, etc.
* Distributed data processing experience.
* Experience with MLOps.
Why choose us?
We're a tech-driven company that recognizes the importance of exceptional engineering in driving innovation and growth. We invest heavily in our codebase and platform, and we're looking for talented individuals to join our teams. As a data scientist, you'll have the opportunity to be part of a company harnessing the power of artificial intelligence and data science to create revolutionary products. Join us and be a part of something groundbreaking!