Data Science and Engineering Professional

7 days ago

Lahore, Punjab, Pakistan beBeeDataScience Full time $80,000 - $120,000
Job Title: Data Science and Engineering Professional

We are seeking a talented and experienced Data Science and Engineering professional to join our team. As a key member of our data analytics team, you will play a critical role in building robust data pipelines and developing data-driven solutions that empower our clients to make informed decisions.

  • Design, develop, and maintain scalable data pipelines to ensure high-quality data accessibility for analytics and modeling.
  • Implement and optimize ETL processes, focusing on data transformation, integration, and cleansing.
  • Collaborate with cross-functional teams to understand data requirements and deliver effective data models that support business analytics.
  • Apply statistical analysis and machine learning techniques to solve complex data challenges and generate actionable insights.
  • Monitor and troubleshoot data systems, ensuring data integrity and performance optimization across data workflows.
  • Stay current with industry trends, technologies, and best practices in data engineering and data science.
  • Contribute to the development of dashboards and reporting tools to visualize data and support decision-making processes.
Qualifications and Skills
  • Bachelor's degree in Data Science, Computer Science, Engineering, Mathematics, or a related field.
  • 1-3 years of experience in data engineering, data science, or related roles.
  • Proficiency in SQL and experience with database management (e.g., PostgreSQL, MySQL, MongoDB).
  • Experience with data engineering tools and frameworks such as Apache Spark, Hadoop, or similar technologies.
  • Solid understanding of machine learning algorithms and experience implementing predictive analytics models.
  • Familiarity with programming languages such as Python or R for data processing and analysis.
  • Knowledge of data visualization tools (e.g., Tableau, Power BI) is a plus.
  • Excellent problem-solving abilities and analytical skills, with a keen attention to detail.

Soft Skills:

  • Strong communication skills, capable of presenting complex data concepts to technical and non-technical stakeholders.
  • A collaborative mindset, with the ability to work effectively in a team environment.
  • Commitment to continuous learning and professional development in data science and engineering.

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