Data Scientist – Big Data & Analytics
Big data & analytics
Junior
Barcelona

Job Description

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!



What do we offer?

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.



Responsibilities

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



Required Knowledge, Skills & Experience

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


Business acumen


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)


Communication skills


Excellent level of Spanish and English is required.


Position based in Barcelona/ Madrid (Spain).

Apply to this positionWe are constantly looking for talented individuals who wish to become part of and help expand our platform.

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