Data Science Career
Are you a data-driven professional passionate about uncovering insights from complex data? Do you thrive on using advanced analytics, statistical modeling, and visualization tools to drive business outcomes?
We seek a collaborative individual with expertise in cloud technologies, Python, SQL, and Power BI. As a data scientist, you will design and execute data-driven solutions that support our organizational goals.
Key Responsibilities:
1. Collect, clean, and transform data from multiple sources, ensuring accuracy and reliability.
2. Build and implement statistical models and machine learning algorithms to generate actionable insights.
3. Design and maintain Power BI dashboards to communicate data findings to stakeholders.
4. Leverage Azure cloud services to manage and optimize data pipelines and analytical solutions.
5. Write and optimize SQL queries to extract, analyze, and transform large datasets.
6. Collaborate with cross-functional teams to align data science solutions with business objectives.
7. Translate business problems into data science approaches and deliver recommendations.
8. Stay current with emerging tools and methods in data science, cloud analytics, and visualization.
Requirements:
* Bachelor's degree or higher in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.
* Proven experience working with Azure cloud services for data processing and analytics.
* Strong proficiency in Python for data manipulation, statistical modeling, and machine learning.
* Solid knowledge of SQL for querying, data preparation, and optimization.
* Hands-on experience with Power BI for building dashboards and delivering insights.
Benefits:
You will enjoy working in a dynamic environment with opportunities for growth and development. Our team values collaboration, innovation, and continuous learning.
This role offers a challenging and rewarding opportunity to apply your data science skills and expertise to drive business outcomes. If you are passionate about data analysis, machine learning, and problem-solving, we encourage you to apply.