Data Scientist

Job Summary:

We are seeking an experienced Data Scientist to join our team. The ideal candidate will have a passion for data analytics and a strong desire to work with big data to create meaningful insights that drive business decisions. As a Data Scientist, you will be responsible for developing and implementing statistical models, Machine Learning/ Deep Learning Models, data visualizations, and predictive analytics to solve complex business problems.

Key Responsibilities:

1. Analyse large, complex datasets to identify patterns, trends, and insights using statistical techniques and machine learning algorithms
2. Perform Data pre-processing techniques such as feature engineering, data cleaning, and data normalization specific to the project for development & deployment
3. Design, Develop and implement predictive models to improve business outcomes and provide insights to key stakeholders
4. Design and implement known validation & tests to evaluate the effectiveness of different models and algorithms
5. Build and maintain data pipelines and ETL processes to ensure high-quality data inputs and outputs
6. Collaborate with cross-functional teams to develop and implement data-driven solutions
7. Create data visualizations and reports to effectively communicate insights and recommendations to non-technical stakeholders
8. Stay up to date with the latest data science tools and techniques and identify opportunities to apply them to solve business problems

Qualifications:

1. Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field
2. 3-5 years of experience in data science or related field

Must Technical Skills:

1. Strong programming skills in Python or R
2. Strong analytical and problem-solving skills
3. Experience with data visualization tools such as Tableau or Power BI or Plotly etc
4. Familiarity with structured, unstructured, and database management example SQL
5. Knowledge of deep learning frameworks example TensorFlow or PyTorch
6. Ability to design and implement known tests to evaluate the effectiveness of different models and algorithms
7. Experience with data preprocessing techniques such as feature engineering, data cleaning, and data normalization
8. Familiarity with time-series analysis and forecasting techniques
9. Experience with cloud computing platforms such as AWS, Azure, or Google Cloud Platform (Optional)
10. Familiarity with PowerPoint would be handy

Soft Skills

1. Excellent communication and collaboration skills
2. Understanding of agile development methodologies and experience working in an agile team environment.
3. Demonstrate the candidate's versatility and adaptability to new challenges.
4. A self-starter who enjoys working in a fast-paced, dynamic environment
5. Passionate about data science