Data Scientist (Big Data Systems)

Bayside Solutions
Cupertino, United States of America
2 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Compensation
$ 104K

Job location

Cupertino, United States of America

Tech stack

Data analysis
Big Data
Data Security
Linux
Hadoop Distributed File System
Python
DataOps
SQL Databases
Scripting (Bash/Python/Go/Ruby)
Spark
Presto
Splunk

Job description

Seeking a data scientist/analyst. Ideally, skilled in data analysis. While the role is primarily for a data scientist, we are also open to candidates with strong project management skills to help oversee aspects of our data operations., * Ad-hoc data analysis and investigations, running queries on our big data systems (SQL, Splunk, and HDFS)

Requirements

  • Proficient in Python and able to automate scripts and tools using Python
  • Experience in Spark to process and query large datasets efficiently
  • Superb communication skills (both verbal and written) with the ability to present results of analyses in a clear and impactful manner
  • Understand algorithms (tweak them when needed) as well as the infrastructure that enables fast iterations.
  • Experience in documenting (i.e., data schemas, compliance policies, timeline/project management, and status updates)
  • Capable of assisting with data investigations and providing recommendations on leveraging existing data effectively
  • Assist in tracking and managing data projects to ensure successful completion.
  • Facilitate data access management, including data creation and the data onboarding process.

Requirements and Qualifications:

  • SQL querying (including anomaly/outlier detection)
  • Python Proficiency (scripting, automation, tooling development)
  • Big Data systems experience (Trino/Presto and HDFS)
  • Spark (processing and querying large datasets)
  • Splunk
  • Linux/Unix proficiency
  • Data onboarding and GDPR/regulatory compliance experience
  • Strong written and verbal communication skills
  • Strong communicator: must be able to present analytical findings clearly to cross-functional teams (including legal)
  • Self-directed and able to work across multiple engineering teams
  • Detail-oriented with a compliance/regulatory mindset
  • Comfortable managing ambiguity and long-running workflows (e.g., legal/GDPR processes)

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