Millimetric.ai

At Millimetric, we are revolutionising the way global organisations analyse their most mission-critical business insights. The smallest metrics can make the biggest difference in what is becoming an increasingly digital world and so we have built the tool that analyses business data around the clock; spots anomalies in business performance the second they occur. We supercharge digital officers and their E-Commerce Technology and Martech stack by helping them to do a thorough job, hassle-free.

Millimetric.ai London EC2A, UK
15/10/2019
Full time
At Millimetric, we are revolutionising the way global organisations analyse their most mission-critical business insights. The smallest metrics can make the biggest difference in what is becoming an increasingly digital world and so we have built the tool that analyses business data around the clock; spots anomalies in business performance the second they occur. We supercharge digital officers and their E-Commerce Technology and Martech stack by helping them to do a thorough job, hassle-free. Driving innovation is a top priority at Millimetric, we are constantly looking to better our product and services by pushing the envelope and maintaining the highest standards of quality in everything we do. We are focused on having a positive, can-do attitude, are excited about our product and looking for equally eager, diligent, and excited team members. We are looking for a Senior Data Scientist who can push the envelope on what can be done in the realm of time-series and anomaly detection. You will be working with backend developers to implement these methodologies in a rapidly growing platform designed for broad adoption. You will be responsible for: Collaborating with team to deliver the algorithms that power our automated business analysis platform Helping us advance our time series understanding models, improve the quality of our insights Working on a variety of different data challenges across our product (modelling, evaluation, machine learning, analytics) Designing, implementing, and launching your own experiments, data products and features Requirements: Master’s degree in Statistics, Applied Mathematics, Computer Science or related field M.Sc. / PhD and academic publications in deep learning / time series analysis preferred Strong statistical and/or mathematical modelling knowledge required 3+ years of delivering innovative data science products Experience deciphering and creating algorithms Exposure to data science techniques (supervised and unsupervised machine learning algorithms, time series analysis, outlier detection), ideally in a production environment; Deep knowledge of statistical principles and Machine Learning methods. Demonstrable proficiency in writing production level code (Python, Go, R preferred) and understanding programming concepts, combined with the enthusiasm and passion to build. Any experience with analytics and marketing products such as Google Analytics, Google Ads, Facebook Ads is a plus We're looking forward to hearing from you!