Data Scientist

Motion Recruitment; Santa Clara (CA); On-site; USD 80,000 - 100,000; Full time

Job summary

A technology recruitment firm in California seeks a skilled data analyst to assist with feasibility studies and support data engineering. Candidates should have expertise in Python, Java, and SQL, experience with dashboard tools like Grafana, and familiarity with cloud platforms such as AWS and Azure. The role involves proposing new uses for data to support business needs and interact with leaders for data analysis strategies.

Qualifications

• Proficiency in Python, Java, and SQL for analysis and development.
• Experience in building dashboards using Grafana, OpenSearch, Oracle Analytics Cloud.
• Familiarity with cloud development and ETL pipelines on AWS, Azure, Google Cloud, OCI.

Responsibilities

• Assist with feasibility studies to determine data availability and modeling.
• Support extraction and engineering of features from various data sources.
• Interact with teams to identify data analysis needs and propose new uses for data.

Skills

Python

Java

SQL

Building Dashboards

Cloud Development

Job description

Overview

• 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

Requirements

• 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