Data Scientist - Graph

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

We're looking for an expert Data Scientist - Graph to be based in our Pune office.

You will be working on new and challenging graph problems.

Responsibilities

• A successful candidate will have hands-on experience with graph databases, web applications and the desire to work in a high performing and faced-paced team.
• Excellent analytical and problem-solving skills are must, also should have an excellent track record of taking complex concepts and implementing practical solutions.
• Lead the design, development, testing, and deployment of a graph database solution.
• Design and develop graph data models in accordance with leading practices for our use cases.
• Work with system owners and data engineers to identify and integrate with data sources used to hydrate the knowledge graph.
• Create and manage queries to pull insights from the knowledge graph.
• Optimize for high performance, efficiency, scalability, and stability of the database.
• Define the database architecture and development best practices.
• Assume the role of a trusted-advisor, offering technical insights to the team and business stakeholders.

About You

• Master/Bachelor degree in Computer Science or related technical field, or equivalent practical experience.
• 4+ years of proven working experience as a data scientist or data engineer.
• Strong track record of delivery using graph databases such as Neo4j, Janus Graph,Tiger Graph, OrientDB
• Fluency with graph query languages such as Gremlin, Cypher. 
• Experience in developing knowledge-based systems in different contexts such as information retrieval, intelligent agents, dialog systems and recommendation systems.
• Experience in scalability and performance issues concerning very large knowledge stores.
• Strong background in computer science: algorithms, data structures, concurrency, and distributed systems.
• Knowledge of professional software engineering practices & best practices for the full software development life cycle including coding standards, code reviews, source control management, build processes, testing, and operations.
• Technical expertise regarding data models, database design development, data mining and segmentation techniques.
• Strong communication (verbal and written) and collaboration abilities in addition to technical depth.
• Comfortable delivering in a fast paced environment.

Perks and Benefits

• Hybrid work environment
• Stock Options: We believe every Aera team member should have a stake in our future 
• Group Medical Insurance: We offer coverage to each and every Aeranaut, with family coverage options available
• Term Insurance: for all employees: 2x annual compensation
• Accidental Insurance: for all employees
• Learning and Development: You’ll have access to professional development content through Udemy, our online learning platform. Udemy offers thousands of courses to help you learn new skills - whether for your professional development or your personal interests
• Employee Referral Program: Earn cash when your referrals get hired!
• Events and Extras: We work hard and get things done, but we also value the importance of having fun: office outings; birthday celebrations; holiday parties; weekly in-office lunches, and more
• Paid Time Off: 30-days paid time off. In addition, we have 10 paid holidays each year
• Snacks: When you’re working from the office, you’ll have access to our fully stocked kitchen with a diverse supply of snacks and beverages