Data Scientist

ClifyX; United States; On-site; USD 100,000 - 130,000; Full time

Job summary

A leading data analytics company is looking for a skilled engineer to join their team in the United States. The role involves conducting data analysis to generate insights and building dashboards using tools like Grafana. Candidates should have a strong background in Python, Java, and SQL, as well as experience with cloud development and ETL pipelines. The position requires onsite work in selected offices and includes extensive collaboration with business teams to ensure data-driven decisions.

Qualifications

• Proficient in Python, Java, and SQL for data manipulation.
• Experience in building dashboards with Grafana or similar tools.
• Knowledge of cloud platforms and ETL pipeline construction.

Responsibilities

• Conduct data analyses using valid techniques to generate insights.
• Support modern data architectures for data processing.
• Interact with business leaders to identify key data questions.

Skills

Python

Java

SQL

Dashboard Building

Cloud Development (AWS, Azure, GCP, OCI)

Tools

Grafana

OpenSearch

Oracle Analytics Cloud

Job description

Overview

Location: Santa Clara, CA; Redwood City, CA; Austin, TX; Reston, VA; Seattle, WA (Onsite)

Duration: 12+ Months Contract

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

Details

• 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
• How many interviews will be required? 4 interviews
• Hiring Manager
• Coding
• System Design

Qualifications

• Languages: Python, Java, SQL
• Building Dashboards such as Grafana, OpenSearch, Oracle Analytics Cloud
• Cloud Development such as (AWS, Microsoft Azure, Google Cloud, OCI Cloud) and building ETL Pipelines
• Good to have: AI experience
• Is Source Code needed? Yes

Other Information

• 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.