Data Scientist
RemoteUnited States
Job Summary
Develop and apply Machine Learning models to solve complex problems while manipulating and analyzing large datasets using Python and R. Collaborate with multidisciplinary teams to identify opportunities for improvement and optimization, then present findings and recommendations to stakeholders clearly and concisely. Stay updated with the latest trends and technologies in data science, including Natural Language Processing and neural network frameworks like TensorFlow or PyTorch. Requires minimum of 3 years of experience as a Data Engineer with proficiency in SQL, NoSQL, and Big Data frameworks such as Hadoop or Spark. This remote position supports data-driven solutions that drive strategic decision-making.
Required Qualifications
- 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
- 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)
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