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Overnight Exploratory Data Analysis Jobs in Virginia

Data Science Associate

Chantilly, VA · On-site

$65K - $68K/yr

Conduct exploratory data analysis to identify trends, patterns, and improvement opportunities. * Perform data cleaning and preprocessing to prepare datasets for modeling and reporting. * Build and ...

Data Scientist

Ashburn, VA · On-site

$99K - $164K/yr

Support exploratory data analysis, feature development, training set construction, and model evaluation activities.Work collaboratively within a large Agile development team.Work Experience and Job ...

Data Scientist

Norfolk, VA

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies in large and complex datasets * Design and deploy predictive and prescriptive models to enable data-driven decision ...

Data Scientist

Norfolk, VA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies in large and complex datasets * Design and deploy predictive and prescriptive models to enable data-driven decision ...

Data Scientist, Mid

Alexandria, VA · On-site

$105.60 - $176/hr

  • Medical

  • Life

  • Retirement

  • PTO

Collaborate with customers to understand questions and needs, write scripts to integrate data, conduct exploratory data analysis to discover patterns, and use appropriate tools to deliver objective ...

Data Scientist

Norfolk, VA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies in large and complex datasets * Design and deploy predictive and prescriptive models to enable data-driven decision ...

Data Scientist

Norfolk, VA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Perform exploratory data analysis (EDA) toidentifytrends, patterns, and anomalies in large and complex datasets * Design and deploy predictive and prescriptive models to enable data-driven decision ...

Data Scientist

Alexandria, VA · On-site

  • Medical

  • Retirement

  • PTO

Conduct exploratory data analysis, feature engineering, model validation, and performance optimization to improve analytical accuracy and operational effectiveness. * Collaborate with Data Engineers ...

Data Developer

Falls Church, VA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Support the delivery of client solutions using advanced analytics, exploratory data analysis, data wrangling, and ETL processes within a SAFe Agile environment. * Derive insights from data and build ...

Showing results 41-60

Overnight Exploratory Data Analysis information

What is the difference between Overnight Exploratory Data Analysis vs Data Analyst?

AspectOvernight Exploratory Data AnalysisData Analyst
CredentialsBachelor's degree in data science, statistics, or related fieldBachelor's or higher in similar fields
Work EnvironmentTypically in data teams, often during night shifts for real-time insightsOffice or remote, regular hours
Industry UsageUsed for quick, overnight data insights, often in finance, tech, or e-commerceOngoing data reporting and analysis across industries
Search IntentUnderstanding overnight data analysis tasks and skillsGeneral data analysis roles and responsibilities

Overnight Exploratory Data Analysis focuses on quick, real-time data insights during night shifts, often for immediate decision-making. In contrast, Data Analysts perform ongoing, comprehensive data analysis during regular hours, supporting strategic business decisions across various industries.

What are the most commonly searched types of Exploratory Data Analysis jobs in Virginia?

The most popular types of Exploratory Data Analysis jobs in Virginia are:

What cities in Virginia are hiring for Overnight Exploratory Data Analysis jobs?

Cities in Virginia with the most Overnight Exploratory Data Analysis job openings:

Data Science Associate

Granules

Chantilly, VA • On-site

$65K - $68K/yr

Full-time

Posted 9 days ago


Job description

Description:Granules Pharmaceuticals Inc., (GPI) is a subsidiary of Granules India LTD. Over the past 34 years, we have worked towards strengthening our core and we are currently the 10th fastest growing generic pharma company in the US!With our sites in Chantilly and Manassas, Virginia, we have R&D through manufacturing and packaging of our medicines including pulsatile drug release in tablet and capsule dosage form, orally disintegrating modified release tablets (XR, MR, ER), modified release suspension and controlled substances capabilities in an abuse deterrent technology platform.We are dedicated to excellence in manufacturing, quality, and commercialization of generic drugs to give customers reliable and affordable options. The Facility Maintenance Technician is responsible for carrying out necessary equipment, buildings and ground repairs (i.e., Boilers, chillers, compressors) including facility PMs, and utility operations associated with our facilities. Ensure the continued efficient operation of Granules Pharmaceuticals Inc. by providing service and support to all equipment, and all manufacturing areas in order to keep our facilities in compliance with GMP standards.


Responsibilities include but not limited to:

  • Conduct exploratory data analysis to identify trends, patterns, and improvement opportunities.
  • Perform data cleaning and preprocessing to prepare datasets for modeling and reporting.
  • Build and evaluate predictive models to support decision-making across operations.
  • Create dashboards and reports for data storytelling to communicate insights to business stakeholders.
  • Collaborate with cross-functional teams on data pipeline integration and analytics enablement.
  • Provide data-driven recommendations that improve operational efficiency, accuracy, and business outcomes.
  • Assist in analytics tasks related to system implementations, process changes, or technology upgrades.
Requirements:


Required Experience & Education

  • Master’s Degree in Data Science, Analytics, Statistics, Computer Science, or a related quantitative field preferred
  • Bachelor’s Degree in a STEM discipline with strong analytical coursework (required)
  • Coursework or academic projects in machine learning, statistics, data engineering, optimization, or operations analytics.
  • Exposure to cloud computing, database systems, or business analytics is a plus.
  • Capstone, thesis, or applied research demonstrating hands-on data work is strongly preferred.

Required Knowledge & Skills

  • Curiosity & Learning Mindset — eagerness to explore new tools, methods, and business domains.
  • Communication — explaining technical concepts to non-technical stakeholders.
  • Analytical Thinking — ability to break down complex problems into structured analytical steps.
  • Machine Learning Fundamentals — regression, classification, clustering, model evaluation, and basic time-series concepts.
  • Database Concepts — relational databases, SQL querying, joins, indexing, and basic data modelling.
  • Cloud & Modern Data Platforms — familiarity with AWS, Azure, or GCP services for analytics
  • Business & Operational Understanding — ability to interpret data in the context of business processes, KPIs, and operational goals.