Data Scientist Expert

hace 6 meses

Madrid, España BIG A tiempo completo

**COMPANY**

**STUFF ABOUT BIG and BIG DECISIONS**

This exciting opportunity for a Data Scientist will have you helping to shape data, owning and presenting your own work demonstrating transformational insight to our business and our clients’ businesses - and pushing the boundaries of data being at the core of our initiatives.

Our aim is to use the wealth of data that we have and that our clients have, to create predictions, insights and recommendations. This starts with an exciting project to predict opportunity in our base, and will include bespoke work for our clients based on their 1P data.

**WHAT YOU'LL DO**

Build analytical products

You will be responsible, in collaboration with the Head of Decision Science, other Data Scientists and Data Engineers, for building a range of products that will enable us to understand customers, prospects and the changing market; to predict next best actions and identify opportunities; to plan and optimize the customer journey, among others. This role will require a combination of creativity, analytical thinking, and pragmatism to make best use of the data we have access to.

Support our teams

Our clients rely on quality data to optimize the communications they have with clients, customers and prospects. You will help them by enhancing the data they already have, producing derived insights, and give them the information they need to encourage engagement and conversion.

Support our clients

Our clients hold a wealth of historic 1P data. You will be involved in unlocking the potential of their data, identifying cross-sell and up-sell opportunities among existing customers, and supporting them with insights about customer behaviour, journeys and next best experiences.

Key Responsibilities

This role requires a good understanding of all phases of the analytic process including data collection, preparation, modelling, evaluation, and insight generation. The creative use of data/data sources is a must; you should have not only a strong analytical mind but also to be resourceful when it comes to solving problems with data.

You will be working with data engineers, who will support you in shaping and manipulating the data for you to use. You must therefore be collaborative and clear in your instructions, and capable of producing briefs that will support these engineers in their work. You will also be expected to present your work to non-technical audiences, stressing the business benefits and recommendations.

You will demonstrate a high level of expertise in the use of machine learning and statistical techniques. Skills in deep learning, data mining, knowledge extraction and graph theory are also highly desirable.

Experience working on B2B clients, tech, telecommunications and IT would be advantageous but not all essential.

**WHAT YOU'LL BRING**

Essential:

- Experience with both descriptive and predictive analytic techniques including clustering, regression, classification methods, etc. (Data Mining /Machine Learning);
- Data extraction from structured/unstructured sources; extracts data from API’s across a range of social platforms - JSON, XML;
- Experience of analysing audio data (from our call recordings), to better understand the conversations that have been held with our customers, and to use this information to:

- Profile the contacts we are speaking to
- Identify what works and what doesn’t: key words, tone, sentiment
- Profile our callers, and investigate which caller profiles work best with the contact profiles
- Identify and flag opportunities
- Good data manipulation skills using SQL based databases;
- Experience building customer-level marketing and analytic tools including customer segmentation and performing predictive modelling;
- Experience with data visualization and analytic techniques using tools such as Python/R (for visualization purposes), Tableau, Power BI;
- Understanding of Text Mining, Natural Language Processing

Nice to have:

- Experience working with Big Data, cloud based and open source technologies including Apache Hadoop, Amazon Web Services and/or ideally use of Google Big Query and Google Cloud Platform (preferred);
- Use of NoSQL technologies like MongoDB or Graph Databases (e.g. Neo4J)

**WHAT WE BRING**
- Permanent contract
- Has the option to work from home under the condition of company rules
- Good working atmosphere
- Extra commission system

**Salary**: 25,000.00€ - 40,000.00€ per year

Work Location: In person

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