We are looking for a data scientist with a strong knowledge of machine learning to join our growing product team.
Analysing billions of data points our platform, you will guide, advise, and develop novel features that help our customers make smarter decisions and drive higher engagement.
You will report directly to our Chief Product Officer and your primary focus will be in applying data mining techniques, performing statistical analysis, and building high quality algorithms. Potential use cases include contact scoring, extending and improving upon our recommendation engine, next best action systems, and extending our content classification capabilities.
You will have the opportunity to make a large impact on the customers of dotdigital’s Engagement Cloud platform. You will be working with our product managers and software engineers to identify key metrics, conduct deep and rigorous analysis, and deliver novel insights and data products that drive customer acquisition and revenue growth.
You will be trusted with tackling the toughest and most impactful analytical problems that affect our customers. You will guide and advise the business on how we use machine learning to stay ahead of market trends and to further strengthen our platform to serve both current and future customers.
You are an inquisitive thinker who is keen to practice full-stack data science, with experience ranging from designing and engineering data extraction processes, to finding patterns and anomalies in data through analytical techniques. You have strong interest in honing your technical skills further on a wide variety of real-world data and you believe that data science can lead to insights that can guide the future development of our platform.
As part of this role, you will be responsible for managing and growing a small but highly influential data science team. Part of this will see you formalising processes and establishing data science as its own discipline within dotdigital.
You will help design and analyse experiments to understand user behaviors, purchasing behaviors, and long-term trends across our diverse data sets
You sit at the intersection between product and engineering to inform, influence, support, and execute our product decisions
You will help foster a culture of data experimentation to build better products and find new ways to optimise our customers’ engagement strategies
Define, drive and analyse results of tests to assess whether online performance is in line with offline simulations
Provide data-driven insights to ensure dotdigital exceeds customer expectations and remains one step ahead of competitive threats
Undertake preprocessing of structured and unstructured data
Build predictive models and machine learning algorithms
Present information using data visualisation techniques
Proven experience as a Senior Data Scientist and in leading and mentoring other data scientists
Experience in data mining
Expertise in building data visualisations to explain data stories
Real world success in implementing machine learning
Knowledge of Google BigQuery, SQL, TensorFlow, and Python
Experience using business intelligence tools and data frameworks
Undergraduate or post-graduate degrees in Computer Science, Engineering or relevant field; degree in Data Science or other quantitative field is preferred
Excellent interpersonal and communication skills, pro-active and independent
This is a hands-on role and proven experience in the field of large-scale B2B SaaS products would be highly beneficial along with experience of digital marketing platforms.
Our ideal candidate will have a record of success in SaaS product environments, delivering measurable results. To excel in this role you must have an excellent understanding of how to apply data science at scale in an agile organization.