Are you interested in solving the most complex data science problems for gaming platforms? As a data scientist in gaming platform team, you would help us understand and drill down into gaming session experience using data. As a Data Scientist will turn data into information, information into insight and understand the customer. You will work closely with our leadership team, internal partners and engineering, providing them insight and data that enables effective changes across the organization.
Our projects include user feedback analyzing, survey analysis, modeling sentiment engines, modelling chatbots. Our technology stack relies on industry standard open source components (Hadoop/Hive, Spark, ELK, Tableau, Cassandra, Avro, Kafka, Redis, PostgreSQL etc) and proprietary tools implemented in Python, Java/Spring, JavaScript/NodeJS.
Are you a talented, visionary and ambitious engineer who can help us grow our solutions for the data analysis for millions of gamers from all over the world?
What you will be doing:
- Design and implement automated, scalable NLP/ML/IR models for accessing and presenting information
- Analyze and develop model to address quantitative data on gaming experiences
- Develop frameworks for data ingestion and processing
- We want you to extend intelligent approaches to detect and to root cause the outliers in the data models, to identify inconsistencies in data. You will come up with scalable algorithms (for data processing and machine learning) on how to diagnose the root causes of errors.
- You will act as a link, working within and coordinating between multiple distributed teams for end-to-end feature delivery. You will prepare documentation for the processes, policies, data formats, test cases and the expected results within the scope of your projects.
What we need to see:
- Bachelor's Degree in Computer Science or statistics or related field
- 7+ years professional experience in software development and building successful production software systems
- 3+ years’ experience in solving NLP problems.
- Experience solving sentiment, classification, entity recognition, annotation with technologies such as Bert, neural nets/transformers.
- 4+ industrial experience with common tools for data storage and processing (e.g. Spark, Hadoop Map/Reduce, Hive, Cassandra). You will have to drill into the problems of running large-scale software in a big network
- We expect you to have system design/architecture skills to build reliable data flows, combining analytical batch processing and low-latency services. You have a passion for efficient algorithms and data structures, advantages/limitations of using them in distributed environments
- Excellent interpersonal, presentation and reporting skills should be your strong sides
Ways to stand out from the crowd:
- You are a self-motivated, engaged, eager for self-education person with strong self-management skills
- Strong oral and written communication skills in English
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people on the planet working for us.
If you're creative and autonomous, we want to hear from you!