Data Science Engineer

Cybage Software is a technology consulting organization specializing in outsourced product engineering services. Our unique offerings span the technological spectrumfrom cutting-edge software development to transformative digital strategies. In 1995, Cybage was founded with a mission to revolutionize the product engineering landscape, empowering businesses to soar above their limitations. What commenced as a modest venture has transformed into a pioneering force, shaping the digital future with innovative solutions tailored to our clients unique needs.

The Position

• As Senior Data Scientist/Software Engineer, you would be working with a team of software engineers and data scientists on the core optimization capabilities of the company in an agile environment. Experience in building mission critical, highly scalable optimization applications is a must. Experience in energy / utility or related markets is desirable but not necessary.

Qualifications

• B.E/B.Tech or MS in electrical engineering, operations research, industrial engineering, computer science, or related field.
• Minimum Experience of 6+ years
• Experience with software development.
• Knowledge of Python or other programming languages.
• Experience with solving large optimization problems using linear / non-linear / integer / dynamic / stochastic programming, as well as heuristic approaches.
• Experience with optimization modeling languages (e.g. AMPL) and solvers (e.g. Gurobi).
• Experience with frameworks such as Redis, HBase, Kafka, Celery, Spark.
• Experience or knowledge in energy / utility or related markets is a plus
• Responsibilities & Skills
• Develop and maintain the optimization models and software implementation that drives customer's platform to deliver reliable flexibility.
• Collaborate with stakeholders and cross-functional teams (Engineering, Product Management, Delivery and Operations) across the organization to identify and address customer challenges with new features and capabilities.
• Make sound technical decisions, implement best software engineering practices within the team, hedge technical/non-technical risks, and deliver projects predictably.
• Design data models for no-SQL databases, such as HBase, as well as relational databases for scalable and cost-effective data storage and retrieval.
• Design, build, and maintain scalable APIs to facilitate access to curated data for internal users and external customers
• Perform rigorous testing, including unit tests and end-to-end regression testing, to ensure the accuracy of the solutions developed.
• Review and evaluate code written by peers and provide constructive feedback to improve code quality, accuracy, performance, readability and maintainability.
• Benchmark and debug critical issues with the algorithms and software as they arise.