Data Scientist

Job Description This is a remote position.
Job Objective:   The ideal candidate will have experience in data analysis and developing predictive models using various technologies and programming languages, with a special focus on data analysis tools and machine learning.
This role is crucial for data collection, analysis, and interpretation, as well as for creating data-driven solutions that drive strategic decision-making.
Responsibilities:   Develop and apply Machine Learning models to solve complex problems.
Manipulate and analyze large datasets using Python and R. Collaborate with multidisciplinary teams to identify opportunities for improvement and optimization.
Present findings and recommendations to stakeholders clearly and concisely.
Stay updated with the latest trends and technologies in data science.
Requirements Minimum of 3 years of experience as a Data Engineer.
  Proven experience in relevant projects.
  Academic degree in Systems Engineering, Computer Science or related fields.
Technical skills: Demonstrable experience in Python and R. Deep knowledge of Machine Learning techniques.
Proficiency in supervised and unsupervised learning paradigms Understanding of model evaluation metrics.
Ability to manipulate and analyze data efficiently.
Experience with SQL and NoSQL databases.
Knowledge of data visualization tools like Tableau or Power BI.
Familiarity with Big Data frameworks like Hadoop or Spark.
Experience using Python libraries such as Pandas, NumPy, and Scikit-learn.
Knowledge of Natural Language Processing (NLP) techniques.
Understanding principles of neural networks and frameworks to develop them (e.g.
: TensorFlow, PyTorch , or Jax).
Soft Skill: Excellent communication and presentation skills.
Ability to work independently and as part of a team.
  Benefits We offer a competitive package with several advantages.