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[D141] - Data Scientist

Worky

Castilla-La Mancha

A distancia

EUR 30.000 - 45.000

Jornada completa

Hace 2 días
Sé de los primeros/as/es en solicitar esta vacante

Descripción de la vacante

A leading talent cloud platform is looking for a Junior Data Scientist to analyze complex datasets and help develop machine learning models. This role is ideal for candidates eager to apply their skills in a collaborative remote environment. The position requires a strong foundation in mathematics, proficiency in Python and SQL, and excellent communication skills.

Formación

  • Strong foundation in mathematical and statistical concepts.
  • Deep proficiency in Python including core libraries.
  • Excellent English communication skills.

Responsabilidades

  • Analyze complex datasets related to Amazon sales and logistics.
  • Develop and deploy machine learning models.
  • Collaborate with software engineers to integrate models.

Conocimientos

Python for data science
SQL for data querying
Mathematics and statistics
Communication and collaboration

Educación

Bachelor's or Master's degree in a quantitative field

Herramientas

pandas
NumPy
scikit-learn

Descripción del empleo

We’re looking for a Junior Data Scientist to join our client's growing data team.

What you’ll be working on

As the first junior hire in our dedicated data science practice, you will have a unique opportunity to make a significant impact. You will work alongside our team to analyze large datasets, build predictive models, and generate actionable insights that will directly influence our business and the success of our clients. This role is ideal for a candidate eager to apply their skills to real-world challenges and help shape the future of our data strategy in a collaborative environment.

Key Responsibilities
  1. Analyze large and complex datasets from various sources related to Amazon sales, advertising, and logistics.
  2. Develop, test, and deploy machine learning models for tasks like sales forecasting, inventory optimization, and pricing strategies.
  3. Collaborate closely with the software engineering members of our technology team to integrate data science models into our production systems.
  4. Communicate findings and insights to technical and non-technical stakeholders.
Must-Haves
  • Bachelor's or Master's degree in a quantitative field such as Mathematics, Statistics, Computer Science, Physics, or Engineering.
  • A strong foundation in fundamental mathematical and statistical concepts.
  • Deep proficiency in Python for data science, including core libraries (e.g., pandas, polars, NumPy, scikit-learn) and software development practices (e.g., version control with Git, testing, documentation).
  • Proficiency with SQL for data querying and manipulation.
  • Excellent English communication and collaboration skills, with the ability to work effectively both independently and within a small, distributed team.
Nice-to-Haves
  • Experience with cloud platforms such as AWS, Google Cloud, or Azure.
  • Familiarity with deep learning frameworks like TensorFlow or PyTorch.
  • Interest in modeling dynamic systems (e.g., control theory, physics, econometrics).
Work Setup & Offer

Location: Remote from Andalusia

Start: Full-time Contractor (40h/week)

About Worky

Worky is an on-demand talent cloud platform that connects companies with remote, vetted professionals globally. We redefine the on-demand talent industry, especially in data, software engineering, and product development. Our clients rely on us to access top-tier talent for remote positions, and our expanding global network enables organizations and startups to meet diverse hiring needs at any scale.

Our sourcing process revolutionizes talent vetting and matching, delivering engaged, qualified professionals swiftly. Partnering with Worky offers advantages like our mission-driven approach, vast global network, quality guarantee, cutting-edge technology, and personalized talent acquisition.

To explore how Worky can transform your talent acquisition, please visit us at [website link].

If this sounds interesting, click "Apply" right now!

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