Data Analyst
3 weeks ago
About The Role :
We are seeking a skilled Data Scientist to analyze complex data, provide actionable insights, and contribute to strategic decision-making. The ideal candidate will have strong analytical skills, a deep understanding of statistical methods, and experience with machine learning algorithms.
Key Responsibilities :
- Analyze large and complex data sets to identify trends, patterns, and insights.
Utilize statistical and machine learning techniques to drive business decisions.
- Design, develop, and implement predictive models and algorithms to solve business problems and improve processes.
- Create compelling data visualizations and dashboards to present findings to stakeholders in a clear and actionable manner.
- Collaborate with cross-functional teams to understand business needs and provide data-driven solutions.
- Ensure the quality and integrity of data by developing and maintaining data pipelines, performing data cleaning, and ensuring data accuracy.
- Generate regular and ad-hoc reports, and present results to senior management and other stakeholders.
- Stay up-to-date with the latest trends and technologies in data science and apply them to enhance our capabilities.
Required Skills :
- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Engineering, or a related field.
- 4-7 years of experience in data science or a related role, with a proven track record of applying data analysis and machine learning techniques to solve complex problems.
- Proficiency in programming languages such as Python or R.
- Experience with data manipulation and analysis tools such as SQL, Pandas, NumPy, etc.
- Familiarity with machine learning frameworks like TensorFlow, Scikit-learn, or similar.
- Experience with data visualization tools such as Tableau, Power BI, or similar.
- Experience with big data technologies such as Hadoop, Spark, or similar.
- Knowledge of cloud platforms like AWS, Azure, or Google Cloud.
- Strong analytical and problem-solving skills, with the ability to interpret complex data and provide actionable insights.
- Excellent written and verbal communication skills, with the ability to explain technical concepts to non-technical stakeholders.
- Strong attention to detail and commitment to delivering high-quality work.
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