Description
You will play a crucial role in analyzing complex data sets, developing predictive models, and delivering actionable insights that drive business decision-making. Your expertise in statistical analysis, machine learning, and data visualization will help us leverage data to enhance our service offerings and operational efficiencies.
Key Responsibilities:
- Collect, clean, and preprocess structured and unstructured data from various sources.
- Develop robust predictive models and algorithms to address business challenges.
- Analyze large data sets to identify trends, patterns, and valuable insights.
- Create interactive data visualizations and dashboards to communicate findings to stakeholders.
- Collaborate with cross-functional teams to define project goals and deliver results that align with business objectives.
- Stay up to date with the latest data science trends, techniques, and best practices.
- Document methodologies and maintain detailed technical documentation for analysis and models.
- Participate in code reviews to maintain high-quality standards in our data science projects.
Requirements
- Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
- 2+ years of experience in data analysis, statistics, or machine learning.
- Proficiency in programming languages such as Python or R, and experience with data manipulation libraries (e.g., pandas, NumPy).
- Familiarity with machine learning frameworks such as Scikit-learn, TensorFlow, or similar.
- Strong understanding of statistical methodologies and modeling techniques.
- Experience with data visualization tools (e.g., Tableau, Power BI, D3.js) to present insights effectively.
- Solid problem-solving skills and ability to work independently or as part of a team.
- Excellent communication skills to convey complex findings to non-technical stakeholders.
- Experience with SQL and database management (e.g., MySQL, PostgreSQL) is a plus.
Benefits
- Exposure to international markets and the opportunity to work with a diverse team
- Flexible remote working arrangements
- Career Progression
- Paid Time Off
