DescriptionDevsinc is seeking a talented Data Science who will play a pivotal role in designing implementing and optimizing data-driven solutions that enhance our machine learning capabilities. The ideal candidate has a strong background in data engineering combined with machine learning and is passionate about applying modern technologies to drive innovation. You will collaborate with data scientists analysts and software engineers to create robust data pipelines and deploy advanced models.
Key Responsibilities:
- Design and implement scalable data pipelines to efficiently collect process and analyze large volumes of data from various sources.
- Collaborate with data scientists to transform machine learning models into production-ready applications.
- Optimize and maintain existing data workflows ensuring data accuracy quality and integrity throughout the process.
- Evaluate and integrate new data management and processing technologies to enhance analytics capabilities.
- Create and manage data repositories following best practices for data governance and security.
- Develop documentation and provide training to team members on data systems and workflows.
- Utilize cloud platforms (e.g. AWS Azure Google Cloud) for data storage processing and machine learning deployment.
- Stay updated on the latest industry trends and technologies in data engineering and machine learning.
- Lead the development and deployment of machine learning models that drive key business metrics and outcomes.
- Build and maintain scalable data pipelines and feature stores for training and inference use cases.
- Work closely with product engineering and business teams to identify high-impact data science opportunities and close the loop on delivery.
- Monitor and retrain models in production to ensure performance over time and handle data drift issues.
- Contribute to architectural decisions on data platforms and model-serving infrastructure.
- Mentor junior team members and help shape best practices in data science engineering.
RequirementsQualifications:
- Bachelors or Masters degree in Computer Science Data Engineering Machine Learning or a related technical discipline.
- 3-5 years of professional experience in data science and engineering roles with a track record of delivering production-ready solutions.
- Demonstrated experience translating business problems into data science projects with measurable outcomes.
- Prior experience working closely with business stakeholders to operationalize models and drive ROI.
Soft Skills:
- Strong analytical and problem-solving skills with attention to detail.
- Excellent communication skills both verbal and written to convey technical concepts effectively.
- Ability to work collaboratively in a fast-paced team environment and manage multiple priorities.
- Motivated self-starter with a passion for learning and applying new technologies.
Required Experience:
Senior IC