Data Science Engineer

As a Data Science Engineer, you will be responsible for driving data-driven insights and innovations within the organization. This role requires an individual with a strong foundation in data science, engineering principles, and an aptitude for working with complex datasets. You will collaborate closely with cross-functional teams, transforming raw data into actionable insights that inform strategic decision-making. In addition to developing scalable algorithms, the Data Science Engineer will be expected to build and maintain data pipelines, ensuring data integrity and accessibility. You will champion best practices in data governance, ensuring compliance with industry standards and regulations. Embracing a hands-on approach, you will be instrumental in deploying machine learning models into production environments and continuously monitoring their performance. The ideal candidate will have an insatiable curiosity and passion for leveraging data to solve real-world problems, coupling technical prowess with excellent communication skills to convey complex concepts to non-technical stakeholders.

Responsibilities:

• Design and implement robust data pipelines to ensure high-quality data availability.
• Collaborate with software engineering teams to integrate analytic solutions into products.
• Develop and maintain scalable data architectures and storage solutions.
• Analyze large datasets to identify trends, patterns, and actionable insights.
• Optimize data processes for performance, efficiency, and scalability.
• Create and validate predictive models to inform business decision-making.
• Develop and implement tools and processes for data collection and validation.
• Work closely with stakeholders to define data requirements and solutions.
• Conduct research and experimentation to drive innovation in data handling.
• Monitor and troubleshoot data infrastructure to ensure system reliability.
• Implement data privacy and security measures to protect sensitive information.
• Document data processes and models to facilitate knowledge sharing.

Requirements:

• Bachelor’s degree in Computer Science, Data Science, or related field.
• Strong proficiency in programming languages such as Python and R.
• Experience with big data tools like Hadoop, Spark or similar frameworks.
• Familiarity with data visualization tools such as Tableau or Power BI.
• Proven ability to build and deploy machine learning models in production.
• Excellent problem-solving skills with a keen attention to detail.
• Ability to communicate complex technical concepts to non-technical audiences.
• Experience working in cloud environments like AWS, GCP or Azure.
• Strong understanding of data governance and compliance regulations.
• Demonstrated ability to work collaboratively in a team environment.
• 2000+ hours of hands-on experience in a data science role preferred.
• Continuous learning mindset with a passion for emerging data technologies.