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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.
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 is required.
2+ years of experience in data analysis, statistics, or machine learning is necessary.
Proficiency in programming languages such as Python or R, and experience with data manipulation libraries (e.g., pandas, NumPy) is essential.
Familiarity with machine learning frameworks such as Scikit-learn, TensorFlow, or similar is required.
A strong understanding of statistical methodologies and modeling techniques is necessary.
Experience with data visualization tools (e.g., Tableau, Power BI, D3.js) to present insights effectively is required.
Solid problem-solving skills and the ability to work independently or as part of a team are essential.
Excellent communication skills to convey complex findings to non-technical stakeholders are necessary.
Experience with SQL and database management (e.g., MySQL, PostgreSQL) is a plus.
Benefits:
You will gain exposure to international markets and have the opportunity to work with a diverse team.