Data & Analytics

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A universal translator role between IT, business, software engineers, and data scientists, working directly with clients and project teams. Passion to solve complex business problems with data and imagination.

Company is driving toward new data stores and cluster-based architectures to enable streaming analytics and scaling beyond our current terabyte-level capabilities. Ability to tune high-performance data pipelines will help to rapidly deploy some of the latest machine learning algorithms/frameworks and other advanced analytical techniques at scale.

Job Scope & Key Responsibilities:

  • A technical background in computer science, data science, machine learning, artificial intelligence, statistics or other quantitative and computational science
  • A compelling track record of designing and deploying large scale technical solutions, which deliver tangible, ongoing value
  • Direct experience having built and deployed complex production systems that implement modern data science methods at scale and do so robustly
  • Fluency with cluster computing environments and their associated technologies, and a deep understanding of how to balance computational considerations with theoretical properties of potential solutions
  • Ability to context-switch, to provide support to dispersed teams which may need an “expert hacker” to unblock an especially challenging technical obstacle
  • Demonstrated ability to deliver technical projects with a team, often working under tight time constraints to deliver value
  • An ‘engineering’ mindset, willing to make rapid, pragmatic decisions to improve performance, accelerate progress or magnify impact; recognizing that the ‘good’ is not the enemy of the ‘perfect’
  • Ability to scale up from “laptop-scale” to “cluster scale” problems, in terms of both infrastructure and problem structure and technique
  • Willingness to travel as required for cases (0 up to 40%)

Technical Expertise:

  • Spark (Scala and PySpark), HDFS, Hive, Kafka and other high-volume data tools
  • Open source data analysis platforms, including but not limited to: Pandas, Scikit-Learn, Matplotlib, TensorFlow, Jupyter and other Python data tools
  • Relational databases such as SQL Server, Oracle, Postgres
  • NoSQL storage tools, such as MongoDB, Postgres, Cassandra, MySQL and ElasticSearch
  • Modern programming languages for data science, covering a wide gamut from data storage and engineering frameworks through to machine learning libraries

Interested! Get in touch with me NOW –

Arul Jeyaraj
Senior Appointments | Technology & Enterprise Sales
M +65 8230 7230 / E: ajeyaraj@welovesalt.com
EA Reg No: R1768947 / EA No: 05C4494

Salt is acting as an Employment Agency in relation to this vacancy.

Job Reference: JO-1807-137637

Salary: S$120000.00 - S$220000.00 per annum

Salary per: Annum

Job Duration:

Job Start Date: 21/08/2018

Apply Now

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