Data Engineer - Data Scientist

netPolarity, Inc. (Saicon Consultants, Inc.); Redwood City (CA); On-site; USD 90,000 - 130,000; Full time

Job summary

A tech consulting firm is looking for a Data Management - Data Scientist to join their team. The role involves accessing and transforming data, building ETL pipelines, and contributing to cloud development using technologies like AWS and Azure. Ideal candidates are proficient in Python, Java, and SQL, and have experience with data visualization tools. The position requires daily office presence in Redwood City, CA, and the opportunity to work on AI tools to enhance network insights.

Qualifications

• Experience with Python, Java, and SQL.
• Familiarity with modern data storage and transformation techniques.
• Ability to build ETL pipelines and dashboards.

Responsibilities

• Access, cleanse, compile and transform disparate data sets.
• Support statistical and machine learning techniques to model data.
• Interact with business teams to address relevant questions.

Skills

Python

Java

SQL

AI experience

Tools

Grafana

OpenSearch

Oracle Analytics Cloud

AWS

Microsoft Azure

Google Cloud

OCI Cloud

Job description

Overview

Job Title: Data Management - Data Scientist

Location: Multiple Location (Santa Clara, CA / Redwood City, CA / Austin, TX / Reston, Virginia / Seattle, WA) - Onsite

Duration: 12-month contract on W2

Responsibilities

• Access, cleanse, compile and transform disparate data sets to conduct exploratory and pre-defined analyses using scientifically valid techniques and generate meaningful insights
• Assist with feasibility studies to identify data availability, quality and modeling requirements and dependencies
• Support modern data storage, movement, and transformation architectures and techniques to extract and engineer features from any scale structured or unstructured data in health, IT system, business process, or external data
• Contribute to discovery or engineering of explanatory features in high-dimensionality collections of data that relate to clinically, financially, and/or operationally important use-cases using scientifically valid techniques
• Support iterative selection and application of modern statistical and machine learning techniques and evaluation methods to engineered features to derive a best candidate model
• Interact with business teams and leaders to identify relevant questions and issues for data analysis and experimentation that support business needs or problems
• Propose new uses for existing data sets or sources, algorithms and predictive models

Office Location Note

In Office. Candidate should go into the Oracle Office daily. Ideally in one of these offices because we have teams in these offices:

• Redwood City
• Austin, TX
• Reston, Virginia

Qualifications

• Languages: Python, Java, SQL
• Dashboards: Grafana, OpenSearch, Oracle Analytics Cloud
• Cloud Development: AWS, Microsoft Azure, Google Cloud, OCI Cloud; building ETL pipelines
• Nice to have: AI experience

Other

Is Source Code needed? Yes

Additional Information

a. Engineer will be part of a 5 member team building Dashboards to provide insights. This will include building out the ETL pipeline and the front end dashboard. Later we want to transform the team to also build AI tools to help predict causes and triage outages in the OCI network.