Data Scientist

Barcelona, Spain
Corporate – Production /
Full Time /
Remote
Job Overview   
 
Welocalize is an award-winning localization and data transformation company. We run one of the world’s largest Ads Rating Programs and we want you to join our team as a data Scientist. 
   
As a data Scientist, you will play a critical role in achieving our team’s vision of fully harnessing the wealth of data available to us. 
 
You will harness a trove of data related to AI-driven search engines to measurably drive quality-related decisions for our AI relevance ranking program. 
 
You will utilize advanced data science and deep analysis techniques to derive actionable insights, build advanced predictive models, and collaborate cross-functionally to inform data-driven decision-making. 
 
You’ll be part of a wider team of data scientists, analysts, and expert raters working to improve the digital experience for end-users across the world. 
 
In other words, your unique and proven skills to understand and manipulate data will drive the future success of our AI programs. 
 
This role is great for people who: 

- Show expert proficiency in SQL and programming languages such as Python and/or Ruby.
- Are excited to elevate existing data analyses, introduce advanced modeling techniques, and achieve deeper insights.
- Proactively identify opportunities to leverage advanced analytical techniques to drive improved outcomes.
- Have experience devising, proposing, and conducting A/B testing and other experimental designs to validate business hypotheses and strategies.
- Have demonstrated experience in engaging in text analytics, anomaly detection, and deep learning projects as relevant to business needs.
- Have excellent communication and interpersonal skills to communicate complex data concepts to various stakeholders.

Project Details   
 
Job Title: Data Scientist 
Location: Remote/work from home, Spain– Note: Even though the position is WFH, you must reside in Spain. This will be automatically checked during the hiring process. 
Hours: Full-time, 40 hours per week 
Start Date: ASAP 

Experience & Requirements

Required: Excellent understanding and use of English (written and spoken).
Required: Master’s or Ph.D. in Data Science, Computer Science, Statistics, or a related field. 
Required: Expert proficiency in Python, R, SQL, and statistical concepts.
Required: 3+ years proven experience in predictive modeling, machine learning, and statistical analysis in an applied business context leading to measurable business outcomes. 
Required: Must sign a standard Non-Disclosure Agreement.
Required: Robust familiarity with data visualization tools, especially MicrosoftPowerBI. 
Preferred: Knowledge and experience of AI-driven search engines and/or other AI applications 
Preferred: Familiar with working in an Agile development environment.
Preferred: Experience with NLP and its applications in a business context is preferred.

Closing 
 
Welocalize is an award-winning global data and translation company with offices across the world. We’ve quietly worked on some of the biggest tech projects in history, from data localization and translation to generative AI and deep learning. 

When you join Welocalize, you’ll have the opportunity to bring your career to the next level:  

Structured learning opportunities that grow your skills, knowledge, and specialties.
24-hour, 6-day-a-week real human support from our Community Experience Team.
Access to long-term partnerships and unique projects across a variety of industries and content types.
Corporate and executive career opportunities to bolster your resume and grow your career.

We are beyond proud to serve our clients, our employees, and the end-users of all the projects we work on. We hope you will join us on this journey into the future.   
Welocalize is committed to equal opportunities and in compliance with the General Law on the Rights of People with Disabilities, this vacancy is also available and we encourage those candidates who have a disability certificate (equal to or greater than 33%) to apply.