HQ SPAIN (REMOTELY- MAD-BCN-) Data Scientist at Job&Talent | chakrie

Requirements

Additional Requirements

Technical degree in Engineering or Quantitative field, a Ph.D. is a plus.
Preferred a mix of experience in both startup and big enterprise environments
Strong theoretical and applied knowledge in Statistics (hypothesis testing, supervised and unsupervised models, etc.).
Strong programming skills with Python and SQL. Any other language is a plus
Strong experience in advanced Data Analysis, data retrieval, cleansing, investigations, etc.
Experience in code collaboration (PR/code review, good practices), CI/CD, monitoring and logging services, and solutions.
Experience in at least 2 of these topics (ordered by importance):
Classification and Regression problems.
Information Retrieval.
Operations Research, in particular with Linear and/or Constraint Programming.
Computer Vision (mainly document detection and recognition).
Natural Language Processing.
A plus, experience with Spark, Apache Hadoop, Airflow.
A plus, experience with ML libraries such as XGBoost, TensorFlow, Or-Tools.
Fluent in English is a must, able to communicate effectively with different levels of management, as well as the business and technical communities.
A valid work permit to be employed in Spain.
Great ownership of the projects with a direct impact on the product.
A complete benefits program that includes flexible remuneration through expenses for restaurants, transport, childcare, and health insurance.
A yearly budget for Conferences/meetup/self-learning.
Possibility of working remotely.
A yearly budget for Conferences/meetup/self-learning.
Working in an international and multidisciplinary team
You will be working in the Data Science team (read the last blog posts)
and Data Analysts.
How the Jobandtalent Engineering team is structured?
What we call “Product Team” includes the Product & Design, Tech, and Data.
Product & Design ⇒ all the Product Owners and Designers that belong to the different Product Features teams (cross-functional teams that take care of some specific parts of the product).
Tech ⇒ includes all the main engineering profiles and guilds, such as Backend, Frontend, Android, iOS, and Platform. The majority of them are embedded into the Product Features teams to create our extremely independent and cross-functional teams.
Data ⇒ includes three different teams, namely Data Analytics, Data Science, and Data Engineering.
How the Jobandtalent Data team is organized?
The Data team includes three different teams that work very closely together.
The Data Engineering one owns the data pipelines and processes that generate the data needed by our Data Warehouse, and thus by the entire Jobandtalent.
The Data Science team, which owns all the models used by the Product teams
The Data Analytics team is composed of two types of profiles: (i) Product Data Analysts, which work embedded in the Product Team following a Hub’n’Spoke approach, and (ii) Data Partners, which are working closely with other departments such as Finance, Sales, Marketing, etc.
How do we organize the tasks and the planning?
We are very data-driven, we have clear KPIs for each project, team, and goal.
We define strong OKRs for every quarter, we work with bi-weekly Sprint (each team has its own JIRA Project), and a Data PM is leading the delivery processes and metrics.
Who we are: We are a workforce on-demand company that heavily relies on tech. We integrate the complete process of selecting, hiring, and managing employees, being the first in digitizing all the steps, introducing Artificial Intelligence solutions in multiple phases, obtaining faster and higher-quality service for our clients, and great satisfaction and loyalty for our workers.
Our Impact on Society: Our vision is to create a long-term job security condition for our workers while providing flexible solutions to our clients. We can do this by concatenating different short-term contracts and minimizing–or completely removing–their unemployed time. We want to remove the need for finding a job ever again.
Data-Driven: Being the owner of the entire hiring funnel, workforce management, and working experience, give us very unique data that we transform into powerful knowledge to make better decisions, improve job-candidate matches, estimate quality and affinity, and share performance feedback with our workers and clients. We are the most advanced workforce on-demand company thanks to our data and the way we use it.
Great Challenges for the Data Team: Integrating very different AI solutions to improve the experience for both our workers and employers (Shift Optimization, Machine Learning algorithms, Quality Score Estimations, Document recognition, etc.), relying on a very powerful ETL that permits endless automatizations while keeping the focus on data quality.
Growth Overview: An annual growth of 170%, available in multiple countries: the UK, Spain, Germany, Sweden, Mexico, Colombia, France, and more are coming. HQ in Madrid with a second big presence in Barcelona and some remote workers in the UK, The Netherlands, and the USA. And finally, some of our great clients are Amazon, XPOLogistics, Cabify, Santander, Just Eat, etc.
Join us in one of the hottest startups in Spain
breaking into a new market worldwide
learning and contributing with your expertise in innovating the entire job market!

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Salary & benefits

A clear overview of what is expected, written by the people who posted it, with every detail you need to decide.

Qualifications, experience and the skills that matter most, along with anything that would make you stand out.

Practical next steps, the documents to prepare and the dates to keep in mind before you apply or get in touch.

Contact details, links to the official source and the notes our team adds after checking each listing by hand.

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HQ SPAIN (REMOTELY- MAD-BCN-) Data Scientist

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