An innovative, market-leading enterprise solution with a growing customer base.
An exciting, nurturing culture that rewards a determined attitude of getting things done and problems solved.
Clear goals with an opportunity to learn new things and explore a variety of avenues.
Smart, well-connected global teams that work like a family with the sole aim to delight customers.
An open-minded approach to continuous improvement of people, product and processes.
Key Responsibilities:
Data Analysis Modeling: Develop models and algorithms to analyze large datasets, extract insights, and predict trends.
Data Mining: Use data mining techniques to identify patterns and relationships in data.
Machine Learning: Implement machine learning and statistical methods to solve complex problems.
Data Visualization: Create visualizations to effectively convey findings to team members and stakeholders.
Collaboration: Work closely with cross-functional teams, including engineering, product development, and marketing, to implement data-driven strategies.
Data Management: Manage and oversee the collection, storage, management, quality, and protection of data.
Research and Development: Stay up-to-date with the latest technology trends and research in data science.
Required Skills and Qualifications:
Education: Bachelors or Masters degree in Data Science, Statistics, Computer Science, or a related field.
Experience: Minimum 1+ years of experience in a data science role.
Technical Skills: Proficiency in programming languages such as Python or R, and familiarity with SQL and database management. Experience with machine learning frameworks and tools.
Analytical Skills: Strong problem-solving skills and the ability to perform complex quantitative and qualitative analysis.
Communication Skills: Excellent verbal and written communication skills to translate complex data into actionable insights.
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