Data Scientist

Descrizione

We are looking for a DATA SCIENTIST to strengthen our Analytics Team.

In the role you will be responsible to turn hard data into useful insights and compelling stories, to create new ways of figuring out customer behaviors and website optimizations. You will develop models using advanced analytics techniques across propensity and next best action, use structured information to build data visualizations and explain business insight.

Key Responsibilities

• Supporting Business with DAD (Discover/Access/Distil) activities: 

Discover: search, scout, find, identify the sources of good data, and related metrics

Access: collect data from multiple sources (SQL / API, a web crawler, CSV, etc.)

Distil: extract value from data, supporting Business decision making.

Use advanced analytics techniques to create new ways of figuring out customer behaviors

• Being the Owner of different analytics platforms to ensure correct implementation and that the data being collected is captured correctly across all digital properties 
• Reporting and analysis of optimization tools that include A/B or multivariate testing to drive fundamental improvements to the site experience 
• Appling expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how users interact with our websites and apps 
• Working with data analysis, business intelligence, and market research - develop deeper insights across all customer interactions 
• Working with other teams in the business to integrate web analytics into larger data warehouses in order to deliver richer insights and a 360-degree view of the customer 
• Combining theoretical knowledge and hands-on experience in statistical techniques and machine learning algorithms 

Required Skills and Experience

Good knowledge of the following:

• Data cleaning – clean large data set from missing values and outlier 
• Data analysis – Aggregate different data set to unify dimensions of analysis and create KPIs 
• Statistical analysis – Apply statistical model to identify data trends and prove validity of the model 
• Algorithm Development – basic knowledge of scripting and software programming 
• Data mining – apply complex algorithm technique to identify patterns 
• Excellent Analysing & Interpreting- ability to find the best solution using data understanding and managing statistical complexity 
• Goal oriented- ability to deliver results meeting customer expectations 
• Continuous learning- motivated to increase his/her knowledge through a constant process of learning and researching 
• Tenacity - capability to persist in looking for the right solution 
• Adaptability - ability to modulate approach and communication according to the audience 
• Bachelor Degree in Mathematics, Statistics, Engineering and at least 2 years of experience in similar roles are minimum requirements. 

So if you like coding and complex challenges this is the right job for you!