Roles and Responsibilities:
Collect, clean, and preprocess large and complex datasets from various sources to perform data analysis and modeling.
Develop and implement statistical models and machine learning algorithms to derive insights and make predictions based on data.
Use data visualization tools to present findings and insights to stakeholders and decision-makers.
Collaborate with cross-functional teams to understand business requirements and identify opportunities to leverage data to drive business growth.
Continuously monitor and evaluate the performance of models and algorithms to ensure accuracy and effectiveness.
Stay up-to-date with emerging data science tools and techniques and recommend improvements to our data analysis and modeling processes.
Work with software engineers to integrate models and algorithms into our systems.
Requirements:
- Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, or a related field.
- Minimum of 5 years of experience in data science, machine learning, or a related field.
- Proficiency in statistical analysis and modeling techniques such as linear regression, logistic regression, decision trees, and random forests.
- Experience with machine learning tools and frameworks such as Python, R, TensorFlow, and PyTorch.
- Strong data visualization skills using tools such as Tableau, Power BI, or D3.js.
- Knowledge of databases and SQL.
- Excellent communication and interpersonal skills.
- If you are a passionate Data Scientist with a strong analytical mindset and a desire to make an impact, then we encourage you to apply for this position.