Data Science Engineer

About Cybage:

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.