Responsibilities:
- Conduct exploratory data analysis to discover insights and trends.
- Develop and implement machine learning models and algorithms.
- Clean, preprocess, and analyze large datasets for actionable insights.
- Collaborate with cross-functional teams to understand business objectives.
- Design and build predictive models to solve complex business problems.
- Utilize statistical techniques for hypothesis testing and data interpretation.
- Create visualizations and reports to communicate findings to stakeholders.
- Stay updated on the latest advancements in data science and technology.
- Optimize and improve existing algorithms for enhanced performance.
- Contribute to the development of data-driven strategies and decision-making processes.
Qualifications:
- Master’s or Ph.D. in a relevant field (e.g., Computer Science, Statistics).
- Proven experience in data science, machine learning, or a related field.
- Proficiency in programming languages such as Python or R.
- Strong understanding of statistical concepts and modeling techniques.
- Excellent problem-solving and analytical skills.
- Effective communication and collaboration abilities.
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Familiarity with big data technologies (e.g., Hadoop, Spark) is a plus.
- Ability to work independently and in a collaborative team environment.
