Data Scientist

Cyient is a global engineering and technology solutions company. As a Design, Build, and Maintain partner for leading organizations worldwide, we take solution ownership across the value chain to help clients focus on their core, innovate, and stay ahead of the curve. We leverage digital technologies, advanced analytics capabilities, and our domain knowledge and technical expertise, to solve complex business problems.

With over 15,000 employees globally, we partner with clients to operate as part of their extended team in ways that best suit their organization’s culture and requirements. Our industry focus includes aerospace and defence, healthcare, telecommunications, rail transportation, semiconductor, geospatial, industrial, and energy.

**Job Description**:
What are my Job Responsibilities?
- You have to Develop tomorrow’s data-driven products for buildings, incl. predictive maintenance, prescriptive simulations, anomaly detection, system optimization and forecasts.
- You need to Evaluate and implement advanced data analytics techniques in joint collaboration with the global Data Analytics team, Software Architects/Engineers and Product Managers.
- You have to Collaborate with Software Engineers to ensure the smooth integration of data science products into global offerings.
- You need to Develop, validate and maintain advanced data analytics products.
- You have to Analyze large volumes of data covering a wide range of information from building operational data to equipment and user behavior data in order to identify new patterns through data mining and AI.
- You should have Excellent Python skills. Optional: Scala skills.
- You need to Investigate the most appropriate techniques to solve complex problems by assessing diverse mathematical, statistical and AI models.

What Makes me Eligible for this Role?
- Degree in computer science/engineering/applied mathematics or related fields
- Minimum two years of work experience in a professional context, preferably in a global setup with distributed virtual teams and environments
- At least two years of work experience in the analytics field (including data science, business intelligence, etc.)
- Strong data fundamentals and demonstrated ability to organize, clean, schematize and process data, as well as good understanding of how to use data science methodologies to solve complex problems
- Seasoned machine learning and data mining enthusiast, proficient in algorithms development and able to work with complex infrastructures
- Knowledge and working experience with NLP techniques and semantic similarity algorithms is preferred.
- Knowledge of and practical working experience on Graphs/ Graph Analytics (social networks, transport networks, device networks, knowledge graphs, graph neural networks etc.)
- Knowledge of ontologies, RDF formats and SPARQL.
- Knowledge of Graph databases like Neo4j, Tiger Graph, Blaze Graph, etc. would be preferred.
- Understanding of building technology concepts, Haystack/ Brick schema, etc. would be an added advantage.
- Excellent Python skills. Optional: Scala skills
- Understanding of agile software development methodologies
- Very good communication and writing in English as well as excellent data visualization skills

Skills & Experience

Graph Analysis, Ontology, Python (Programming Language), SPARQL

Cyient is an Equal Opportunity Employer.

Cyient recruits, employs, trains, compensates, and promotes regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, veteran status, and other protected status as required by applicable law. We are proud to be a diverse and inclusive company where our people can focus their whole self on solving problems that matter.