Address
Form of work
SalaryJob Information
Work Experience
4-5 years
Industry
Technology
Remote Job
Job Description
This is a remote position.
Although this is a remote position, we are looking for individuals who reside in Morocco!
As a Data Scientist, you’ll play a crucial role in extracting valuable insights from large datasets. You’ll apply statistical analysis, machine learning, and data visualization techniques to solve complex business problems. Your work will drive data-driven decision-making and contribute to the organization’s success.
Responsibilities
- Data Exploration and Cleaning:
- Collect, clean, and preprocess raw data from various sources.
- Identify missing values, outliers, and inconsistencies.
- Collect, clean, and preprocess raw data from various sources.
- Statistical Analysis:
- Apply statistical methods to analyze data trends, correlations, and distributions.
- Conduct hypothesis testing and interpret results.
- Apply statistical methods to analyze data trends, correlations, and distributions.
- Machine Learning Modeling:
- Develop predictive models using algorithms such as linear regression, decision trees, random forests, and neural networks.
- Optimize model performance through feature engineering and hyperparameter tuning.
- Develop predictive models using algorithms such as linear regression, decision trees, random forests, and neural networks.
- Data Visualization:
- Create clear and insightful visualizations (charts, graphs, dashboards) to communicate findings to stakeholders.
- Use tools like Matplotlib, Seaborn, or Tableau.
- Create clear and insightful visualizations (charts, graphs, dashboards) to communicate findings to stakeholders.
- Feature Engineering:
- Engineer relevant features from raw data to improve model accuracy.
- Handle categorical variables, time series data, and text data.
- Engineer relevant features from raw data to improve model accuracy.
- Collaboration:
- Work closely with cross-functional teams (product, engineering, business) to define project goals and requirements.
- Communicate complex technical concepts to non-technical stakeholders.
- Work closely with cross-functional teams (product, engineering, business) to define project goals and requirements.
- Model Deployment and Monitoring:
- Deploy models into production environments (on-premises or cloud).
- Monitor model performance and address issues promptly.
- Deploy models into production environments (on-premises or cloud).
- Continuous Learning:
- Stay updated with the latest advancements in data science, machine learning, and AI.
- Participate in conferences, workshops, and online courses.
- Stay updated with the latest advancements in data science, machine learning, and AI.
Requirements
Qualifications
- Education: Bachelor’s or master’s degree in Computer Science, Statistics, Mathematics, or a related field.
- Experience:
- 2+ years of experience as a Data Scientist or similar role.
- Proficiency in Python or R for data manipulation and modeling.
- Familiarity with SQL for querying databases.
- 2+ years of experience as a Data Scientist or similar role.
- Skills:
- Strong analytical and problem-solving skills.
- Knowledge of machine learning libraries (e.g., Scikit-Learn, TensorFlow, PyTorch).
- Excellent communication skills.
- Strong analytical and problem-solving skills.
