Sr. Data Science Engineer
NVIDIA Corporation
15 дней назад

Our team is building the Data platform to enable capture, upload and processing of telemetry data from millions of end-user and infrastructure systems.

Our data sources include traditional personal computers, servers, mobile devices and distributed Web services. In the next couple of years our client base is going to exceed 100 million users.

Join us now to support this development of the large-scale data collection and analysis platform!

Our active projects include crash and performance tracking of the client applications, user behavior profiling, user base segmentation and campaign targeting, smart personalized recommendations, QoS analysis for game video streaming.

We have even more ideas where your knowledge and your experience are needed. You will be adding intelligence and analysis capabilities to various user-

facing projects, you will help to deliver the power of Data to our users across the world. The scale of the system and the business needs require a combination of batch-

based processing with partial real-time calculations of some selected metrics. Our technology stack relies on industry standard open source components (Hadoop / Hive, Spark, ELK, Tableau, Cassandra, Avro, Kafka, Aerospike, 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 will you do :

  • You will 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 are expected to understand the results of the algorithms / models and reiterate / enhance the algorithms given the updated results

  • You will improve and fine-tune the recommendations framework on multiple platforms
  • 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 :

  • You should be able to write readable, testable, maintainable and extensible code (primarily Python), 5+ years development experience
  • You should have 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

  • You are experienced in solving problems using machine learning techniques (clustering, classification, outlier analysis, etc) and deep learning models (Neural Networks).
  • We need you to possess a strong track record of dealing with time series data

  • We expect you to have system design / architecture skills to build reliable data flows, combining analytical batch processing and low-
  • latency services. You have 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
  • You are a self-motivated, engaged, eager for self-education person with strong self-management skills
  • Upper-intermediate oral and written technical English is required
  • Ways to stand out from the crowd :

  • Understanding of the technology stack for the statistical data analysis (R, SPSS, etc) is desired. We appreciate your extra programming skills in JS, Go, Perl or Ruby;
  • hands-on experience with NoSQL DBs. Love for PC / mobile gaming will help you in working with our data sets.

    Do you have a 'pet' software project? We are happy to see your code examples.


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