
Data Science Software Engineer
21 hours ago
As a Senior Software Engineer, you will play a crucial role in bridging software engineering and data science to drive impactful insights and solutions.
Key Responsibilities:
- Design and develop data pipelines and architectures to process and analyze large volumes of structured and unstructured data.
- Collaborate with data scientists and analysts to implement data models and algorithms for predictive analytics and machine learning.
- Optimize and maintain existing data systems for efficiency, performance, and scalability.
- Conduct data analysis to extract insights and communicate findings to stakeholders.
- Implement best practices for data governance, security, and compliance.
- Mentor junior engineers and contribute to improving engineering processes.
- Stay updated with emerging trends in data engineering and data science to innovate solutions.
Requirements:
- Bachelor's or Master's degree in Computer Science, Data Science, or related field.
- 3+ years of experience in software engineering, emphasizing data engineering and data science projects.
- Experience with ETL processes, data warehousing, and big data technologies (e.g., Hadoop, Spark).
- Proficiency in Python, R, or Scala.
- Proficiency in SQL and NoSQL databases (e.g., MongoDB, Cassandra).
- Experience with machine learning frameworks like TensorFlow, PyTorch, Scikit-learn.
- Hands-on experience with cloud platforms such as AWS, Azure, or GCP.
- Knowledge of data visualization tools and techniques.
- Strong analytical, problem-solving, and communication skills.
- Ability to lead projects and work in an agile environment.
- Willingness to learn and adapt to new challenges.
Additional Details:
- Seniority level: Mid-Senior level
- Employment type: Full-time
- Job function: Engineering and Information Technology
- Industries: IT Services and Consulting
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