Data Scientist

We are seeking a detail-oriented and analytical Data Science Analyst to join our team. In this role, you will leverage data-driven insights to support decision-making, optimize business processes, and enhance operational efficiency. You will be responsible for collecting, analyzing, and interpreting large datasets, building predictive models, and presenting findings to stakeholders.

Key Responsibilities:

- Collect, clean, and preprocess data from multiple sources to ensure accuracy and reliability.

- Conduct exploratory data analysis (EDA) to identify trends, patterns, and insights.

- Develop and implement predictive models and machine learning algorithms to solve business problems.

- Utilize statistical methods and data visualization tools to communicate findings effectively.

- Collaborate with cross-functional teams, including business, engineering, and product teams, to drive data-driven decision-making.

- Build and maintain dashboards and reports to monitor key performance indicators (KPIs).

- Perform A/B testing and other experimental analysis to optimize strategies.

- Stay up to date with industry trends, emerging technologies, and best practices in data science.

Required Qualifications & Skills:

- Bachelors or masters degree in data science, Statistics, Computer Science, Mathematics, or a related field.

- Proficiency in programming languages such as Python, R, or SQL.

- Experience with AWS SageMaker, Jupyter Notebooks

- Experience with data visualization tools like AWS QuickSight, Tableau, Power BI, or Matplotlib.

- Strong understanding of statistical analysis, hypothesis testing, and machine learning techniques.

- Familiarity with big data technologies and cloud platforms (e.g., AWS, Google Cloud, Azure) is a plus.

- Ability to translate complex data into actionable business insights.

- Strong problem-solving skills and attention to detail.

- Excellent communication and presentation skills.

Preferred Qualifications:

- 7+ years of experience

- Knowledge of deep learning frameworks (e.g., TensorFlow, PyTorch) is beneficial.

- Exposure to data engineering concepts, including ETL processes and database management.