Senior Engineer - Data Science Operations

at  causaLens

causaLens is the pioneer of Causal AI — a giant leap in machine intelligence.
We are on a mission to build truly intelligent machines, machines that truly understand cause and effect— it’s hard but super fun! If you want to build the future and are looking for a place that values your curiosity and ambition, then causaLens is the right place for you. Everything we do is at the forefront of technological advancements, and we are always on the lookout for people to join us whose skills and passion tower above the rest.
Since the company was established in 2017, causaLens has:
Launched decisionOS, the first and only enterprise decision making platform powered by Causal AI - here
Open sourced two of our internal tools and packages to support the open-source community, see Dara and Causal Graphs.
Raised $45 million in Series A funding
Been named a leading provider of Causal AI solutions by Gartner - here
Included in Otta’s 2022 Rocket List as one of the fastest-growing companies to launch your career
At causaLens we are building the world’s most advanced Causal AI powered decision intelligence platform for Data Scientists. The platform leverages state of the art Causal AI algorithms and models to empower data scientists and decision-makers to go beyond correlation-based predictions and have a real impact on the most important decisions for the business. Our platform is trusted and used by data science teams in leading organizations and provides real value across a wide variety of industries, and it’s only the beginning.
Our MissionTo radically advance human decision-making.A world in which humans leverage trustworthy AI to solve the greatest challenges in the economy, society and healthcare.Head to our website homepage and watch the ‘Why Causal AI’ video to learn more.

We are seeking a talented individual with a unique blend of Machine Learning Engineering and Data Science experience to join our team in a role focused on optimizing the path to production for Data Scientists. This role will primarily involve empowering Data Scientists to independently deploy their work into production.