Josh Wills, Director of Data Engineering at Slack, wrote on his Twitter: “A Data Scientist is one who is better in the statistics of any programmer and better in programming than statistics.”
Being a Data Scientist is a profession of the future that has already come. These are specialists who work with things we don’t even know that we don’t know (“unknown unknowns”). They are trying to predict the future!
Nowadays, companies cannot afford to ignore the data, data collection, and analytics.
So, what is included in the work of Data Scientist?
🔹 Asking the right questions to yourself and the client
🔹 Putting forward and test hypotheses based on data, to launch experiments
🔹 Getting the data you need
🔹 Cleaning the data and bringing it into a suitable form
🔹 Exploring data in search of the unknown
🔹 Modelling data and algorithms
🔹 Understanding connections in data
🔹 Instructing machines how to learn from data
🔹 Creating complete data products
🔹 Making practical business conclusions from data
🔹 Telling stories based on data
What business marketing challenges do Data Scientists solve?
✔️ Prediction of Lifetime Value (LTV), marketing optimization based on it, including optimization of attraction channels and retention strategies
✔️ Client life cycle, churn prediction, reactivation probability
✔️ Targeting and optimization of incentive tools, including discounts
✔️ Frequency and average receipt growth, cross / up-selling, recommendation algorithms
✔️ Omni-Channel Marketing Optimization
✔️ A / B and multivariate tests
Data Science + Marketing = Sucсess.
At MixDigital, we attach great importance to working with data. For us, it is one of the main strategic vectors of development as it provides a solid foundation for future performance and quality optimization of placements in Media & Performance campaigns.
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