Data Scientist

Duration: Indefinido

Start date: Inmediatamente

You’ll contribute to ending world hunger by …

As a member of the Bussines Analytics team, the data-scientist will lead a statistical function, to transform data into information and information into insight. This role requires gathering, cleaning, transforming, validating and modelling data with the purpose of drawing conclusions based on evidences and presenting them in reports. Working seamlessly with the existing analytical capacity in the team the output should underpin the business analytics capacity and consequently our response operations and help Action against Hunger to develop a reputation for solid, appropriate and well-informed humanitarian programs.

The main activities you will perform are:

• Gather the needs from internal and external stakeholders and transform them into requirements for reporting analytics solutions. 2. Manage the robust reporting analytics solutions that answer to the identified needs. 3. Fetches information from various sources, identifies what data is available and relevant, including internal and external data sources, leveraging new data collection processes. 4. Produce ongoing reports and/or timely responses to specific requests to integrate quantitative methodologies in any analysis required to Business Analytics Unit. 5. Identify, analyze, and interpret trends or patterns in complex data sets (for both short and long-term analysis). 6. Enhance data collection procedures to include further information that is relevant for building analytic systems. 7. Explore meaningful relationships among variables, build and validate statistical models (such as, for example, multivariate regression/multivariate multiple regression models) for planning or forecasting purposes.
• 1. Identify and implement statistical approaches, which improve the use of existing data archives. 2. Develop and implement strategies that optimize data collection and quality (i.e identify reliable data origins, tools for finding or collecting data, testing validity, and reliability of data, etc. ). 3. Identify and implement statistical approaches, which improve the use of existing data archives. 4. Develop and implement strategies that optimize data collection and quality ( i.e identify reliable data origins, tools for finding or collecting data, testing validity, and reliability of data, etc. ). 5. Work closely with other members of ACF staff in order to identify information needs, to cooperate to the design of information storage/retrieval process. Offer the support, as a statistician, to other ACF activities finalized to the implementation of data-driven information products and platforms.
• Empower the analytical capacities of staff in the organization, help with training staff to use analytical tools and supporting a culture of quantitative analysis. 2. Data Visualization & Communication: Describing findings or the way techniques work to audiences, both technical and non-technical. 3. Effectively communicate the findings, insights and conclusions to a diverse audience from data analysts to decision makers.

Does this description fit you?

• Technical expertise regarding data visualization, modelling, multivariate analysis, data mining and sampling. Skills in data visualization with good knowledge in applying the appropriate visual language to communicate information. Knowledge in machine learning, artificial intelligence and Cognitive systems is desirable. Desirable experience in Big Data – Hadoop, Data Science and Computing. Knowledge in machine learning, artificial intelligence and Cognitive systems is desirable. Experience working with large datasets to develop innovative reporting approaches leveraging internal and external data sources. Solid experience working with state of the art database systems.
• Knowledge and experience using statistical software languages and packages, such as R, MatLab or SPSS, for modelling and analysing (large) datasets. Advanced experience programming in R, Python and Power PI. Knowledge of database querying language like SQL, desirable. Advanced experience in data manipulation in SQL is required.
• From 2 to 4 years working experience in Business Intelligence and Analytics in academia, international organizations, NGO. Experience in creating metrics and KPIs and using analytic solutions to report on business performance. Experience working with large datasets to develop innovative reporting approaches leveraging internal and external data sources. Solid experience working with state of the art database systems. Excellent writing, editing and analytical skills and ability to communicate results and final recommendations Natural inclination for sharing findings and engage with the team to solve problems Ability to work independently in a fast paced and often demanding environment. Solution oriented attitude with an ability to work with minimum supervision and proactivity to reach the defined goals
• Written and spoken fluency in English, proficiency in French.

Our remuneration package:

Joining a multicultural, professional and innovative organisation that is committed to equality and has an Equality Plan as a tool to mainstream its commitments in the matter. By working with Action Against Hunger you will also have the opportunity to participate in projects with a high social impact.

• Permanent contract.
• Based in Madrid.
• Competitive salary.
• Access to flexible remuneration plans (medical insurance, transport, childcare and meal vouchers).
• Professional career adapted to you where talent and motivation are recognised.
• Continuous training in both technical skills and soft skills.
• Work-life balance, with the option of flexible working hours, intensive working hours and the possibility of taking part in our teleworking programme.
• 25 working days of holiday per year with the possibility of organising them at your discretion and even taking half days.

Action against Hunger is committed to preventing any type of unwanted behaviour at work such as but not limited to sexual harassment, sexual exploitation and abuse, lack of integrity and/or financial misconduct; We expects all staff and volunteers to share this commitment through endorsing our code of conduct and other related policies and only those who share our values and code of conduct will be recruited to work for us