At Metyis “Data” means “Insights”. We strive to provide insights to our partners using data. There is a lot of data that our partners have but they are not aware of, or they do not yet use.
We are looking for a Data Scientist with 1 - 3 years of relevant working experience and a passion for data. We help our clients to target, measure and improve critical business metrics. If you join our team, you will collaborate closely with partners, strategy consultants, data scientists and data engineers in a flat and agile organization where personal initiative is highly valued.
If you are enthusiastic about drawing solutions to complex corporate problems, if you are a data-driven professional, you enjoy transforming clients’ business, if you want to work in a collaborative environment, and you are ready to assume a high level of responsibility from the very beginning, in a fast-paced environment, this is your place!
We want to enable you to get the most out of yourself both as a professional and as a person! You will enjoy a high level of responsibility while being guided and mentored by more experienced colleagues. From day one, you will experience a very steep learning curve. Learning on the job will be combined with a bespoke personal development plan and a fit-for-purpose training curriculum.
We highly value and support a healthy work-life balance. As an output-oriented firm, we trust our people to deliver when needed. Meanwhile, we also urge them to constantly take ownership over their personal lives and stay healthy.
Metyis is an Equal Opportunity Employer. All aspects of employment, including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. At Metyis we do not discriminate on the basis of race, religion, color, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin or any other basis covered by appropriate law.
We also encourage our employees to foster social progress and responsibility, as well as sustainability and development in their professional tasks and assignments.
Leverage data to develop models, using machine learning and advanced analytics techniques.
Perform data analysis to solve problems, disaggregate issues, develop hypotheses and develop actionable recommendations
Use cloud computing to boost productivity
Manipulate high-volume, high-dimensionality data to highlight patterns, relationships, anomalies and trends.
Work with business stakeholders to understand business needs, develop and defend actionable solutions to business challenges
Contribute to one or more of the following areas: sales, forecasting, customer analytics, recommender systems, NLP topic classification, image object detection and web scraping
Prepare presentations to explain analysis results
BA or Masters’ Degree in Mathematics, Statistics, or Computer Engineering
1 to 3 years of relevant professional experience in data analysis is required
Advanced knowledge in Statistics and Mathematic Models
Strong analytical, critical thinking and problem-solving skills
Proven experience working with Programing languages (SQL, Phyton and/or R) is required
Knowledge in Machine Learning algorithms and AI
Proven experience using data science packages (Pandas, Scikit-Learn, Pythorch, Tensor Flow, Spark)
Knowledge in BI visualization tools (Tableau, Power BI, Qlikview) is desirable
Knowledge of Excel
Familiarity with consulting firms and business analytics is desirable
Professional experience in Banking, Insurance, Telecom, Retail, FMCG, HR or E-commerce is an asset
Collaborative spirit (team- players)
Excellent level of Spanish and English is required.
Position based in Barcelona/ Madrid (Spain).