Data Scientist
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ActiveCampaign is a platform focused on email, marketing automation, and sales for small businesses. We are looking for a creative Data Scientist to join our Data Science team. Data Scientist will leverage value from terabytes of platform transactional data, user UI interaction time series, email and marketing content, user e-commerce trails, email enrichment tags, etc. We work on predicting deal closure, predicting best email send schedules, predictively suggesting best email and marketing automations and much more.
We cannot offer sponsorship for this role at the moment.
What your day could consist of:- Interviewing business teams and brainstorming appropriate (accuracy & effort) data science solutions;
- Collating existing and new hypothesized data sets for PoC's;
- Statistically exploring data with underlying business processes in mind;
- Prototyping data science/machine learning models, then polishing later;
- Creating solid quant metrics of impact, making them visually accessible;
- Letting creative ideas rule the day; don't settle for the first solution, research and dig to the core;
- Ongoing support of live models (change in process, abnormalities, outliers etc.);
- Presenting data as a story; Promoting data science products companywide.
- Extensive and proven experience delivering sound analytical insight with statistics and machine learning (business or science);
- Ability to explore and prototype independently in Python (preference) or any other (e.g. R, Mathematica, Matlab) yet moving to Python;
- Excellent SQL skills;
- Excellent communication and business analysis skills. We improve business processes, understanding them fully (including underlying data) is the key;
- A desire to be part of a small team where hierarchy is not encouraged, everyone's input matters, your work has a high impact, and everyone is working together;
- Desire to build the right data science products at the right time on the Gartner curve vs. the "coolest" products;
- Information sponge; You live data and relationships; Research scientific papers/business solutions from cross-functional fields; Re-use as much as possible.
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