The Role
Analyze raw data for quality and structure, create scalable prediction algorithms, collaborate with engineers, and provide actionable business insights.
Summary Generated by Built In
This is an exciting position to work on a very talented team of engineers. The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex datasets to ask the right questions and find the right answers. Additionally you enjoy putting the results of your work into meaningful reports that are then presented to the team.
Responsibilities
- Analyze raw data: assessing quality, cleansing, structuring for downstream processing
- Design accurate and scalable prediction algorithms
- Collaborate with engineering team to bring analytical prototypes to production
- Generate actionable insights for business improvements
Qualifications
- Bachelor's degree or equivalent experience in quantitate field (Statistics, Mathematics, Computer Science, Engineering, etc.)
- At least 1 - 2 years' of experience in quantitative analytics or data modeling
- Fluency in a programming language (Python and SQL)
- Familiarity with Big Data frameworks and visualization tools such as (Cassandra, Hadoop, Spark, Tableau)
Top Skills
Cassandra
Hadoop
Python
Spark
SQL
Tableau
Am I A Good Fit?
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.
Success! Refresh the page to see how your skills align with this role.
The Company
What We Do
We are a consulting firm that specializes in engineering and management. We have provided services for some of the largest tech companies in the San Francisco Bay Area. These services include mechanical, electrical, software design, data collection quality assurance, and testing of new hardware and software. We pride ourselves in being a small company, which is able to be extremely flexible to our customers ever changing demands.
