The company is looking for a Data Scientist to join their team.
Requirements
- Proficiency in programming languages such as Python or R.
- Experience with machine learning frameworks like TensorFlow, PyTorch, or scikit-learn.
- Strong understanding of statistical modeling, data mining, and machine learning techniques.
- Experience with SQL and database management.
- Familiarity with big data technologies such as Spark or Hadoop.
- Experience with cloud platforms like AWS, Azure, or GCP.
- Knowledge of data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
Responsibilities
- Design, develop, and implement machine learning models and algorithms to solve complex business problems.
- Analyze large datasets to identify trends, patterns, and insights that can drive business decisions.
- Develop and maintain data pipelines for data ingestion, transformation, and processing.
- Collaborate with engineering teams to deploy machine learning models into production environments.
- Evaluate and benchmark model performance, iterating on models to improve accuracy and efficiency.
- Communicate findings and recommendations to both technical and non-technical stakeholders.
- Stay up-to-date with the latest advancements in machine learning and data science.
Other
- Strong analytical and problem-solving skills.
- Excellent communication and presentation skills.
- Ability to work independently and as part of a team.
- Bachelor's or Master's degree in a quantitative field such as Computer Science, Statistics, Mathematics, or a related discipline.
- Experience in a relevant industry is a plus.