Junior Data Scientist
Newxel
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇪🇸 Spain
Visit company websiteJob Level
Junior
Tech Stack
AWSAzureCloudNumpyPandasPythonPyTorchScikit-LearnSQLTensorflow
About the role
- Analyze large and complex datasets from various sources related to Amazon sales, advertising, and logistics.
- Develop, test, and deploy machine learning models for tasks like sales forecasting, inventory optimization, and pricing strategies.
- Collaborate closely with the software engineering members of our technology team to integrate data science models into our production systems.
- Communicate findings and insights to technical and non-technical stakeholders.
Requirements
- Bachelor's or Master's degree in a quantitative field such as Mathematics, Statistics, Computer Science, Physics, or Engineering.
- Strong foundation in fundamental mathematical and statistical concepts.
- Deep proficiency in Python for data science, encompassing both its core libraries (e.g., pandas, polars, NumPy, scikit-learn) and modern software development practices (e.g., version control with Git, testing, documentation).
- Proficiency with SQL for data querying and manipulation.
- Experience with cloud platforms such as AWS, Google Cloud, or Azure.
- Excellent English communication and collaboration skills, with a proven ability to work effectively both independently and within a small, distributed team.
- Familiarity with deep learning frameworks like TensorFlow or PyTorch is a bonus.
- Experience with, or a strong interest in, modeling dynamic systems (e.g., using concepts from control theory, physics, or econometrics).
Benefits
- Flexible work arrangements
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningdata analysisstatistical conceptsPythonSQLdeep learningcontrol theoryeconometricsversion controldata querying
Soft skills
communicationcollaborationindependent workteamwork
Certifications
Bachelor's degreeMaster's degree