Data Scientist

We are hiring a Data Scientist with the following job requirements:

Technical Skills:

• Programming Languages: Python (with libraries like Pandas, NumPy, Scikit-learn), R, SQL
• Machine Learning Algorithms: Supervised (regression, classification), unsupervised (clustering, dimensionality reduction), deep learning (neural networks, CNNs, RNNs)
• Data Wrangling and Cleaning: Expertise in handling messy data, transforming, and preparing it for analysis
• Data Visualization: Creating insightful and impactful visualizations using tools like Tableau, Power BI, or Matplotlib
• Big Data Technologies: Familiarity with Hadoop, Spark, and cloud computing platforms (AWS, Azure)
• Statistical Analysis: Strong foundation in statistical concepts, hypothesis testing, and statistical modeling
• Database Management Systems: Proficiency in working with relational and NoSQL databases

Key Experience: Demonstrated experience leading and managing data science projects, including:

• Designing and implementing complex machine learning models
• Working with large and diverse datasets
• Communicating technical findings to both technical and non-technical audiences

Tools a Senior Data Scientist Should Know:

• Version Control: Git (with tools like GitHub or GitLab)
• Cloud Platforms: AWS and Azure
• Big Data Tools: Hadoop, Spark, Hive
• Database Tools: SQL, NoSQL databases

Experience: 8-10 years of relevant professional experience as a Data Scientist or in a related analytical role.

Education: Minimum a bachelor's degree in Computer Science, Statistics, Mathematics, or a related field like Data Science.