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Data Science Analyst Intern Jobs in Kentucky (NOW HIRING)

$138 - $167/hr

Overview Data Science Analyst Springfield, VA or St. Louis, MO Active TS (SCI eligibility) clearance and eligibility to obtain a CI poly At Bcore, our strength comes from how we deliver impact to the ...

$142 - $209/hr

Senior Manager, Data Science, AbbVie Inc., North Chicago, IL (Hybrid (onsite 3 days a week/ 2 days ... Deliver biomarker analysis expertise for clinical studies. * Ensure accurate extraction of relevant ...

Data Science Tutor

Lexington, KY · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Data Science Tutor

Louisville, KY · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

$213 - $288/hr

Market research projects vary from macroeconomic data curation and analysis to application of ... computer science or any engineering related field and have an expected graduation date between ...

$193 - $290/hr

Lead, mentor, and scale a team of data scientists and analytics engineers working across product and ML domains * Partner closely with Crypto product, engineering, finance, and research teams to ...

$160 - $170/hr

Contribute to the data and analytics roadmap, balancing near‑term delivery with longer‑term ... Data Science Supervisory Duties: Yes Travel Required: Minimal (optional) Location/Work Region:

$142 - $236/hr

As part of the Data Science and Engineering team, this role combines strategic leadership ... You demonstrate strong analytical and data-driven decision-making skills, leveraging metrics and ...

$140 - $190/hr

This role is a unique blend of a data scientist, a decision scientist, and a strategic advisor. You ... Lead analytics for portfolio optimization, therapeutic area (TA) strategy, and in-line brand ...

$197 - $345/hr

Principal Data Scientist, Platform Monetization We are hiring a Principal Data Scientist to lead ... Frame and deliver deep-dive analyses to identify opportunities for revenue & product growth ...

New

$150 - $190/hr

Data Science & Analytics * Conduct exploratory data analysis, statistical modeling, and advanced analytics using structured and unstructured data. * Identify trends, patterns, and operational ...

New

Florida Atlantic University - Office of Technology Development (OTD) Technology Data Analyst & Data Manager Intern (Federal Work-Study) Company Overview Key Responsibilities: Your primary mission is ...

$197 - $345/hr

Principal Data Scientist, Platform Monetization To get the best candidate experience, please ... Frame and deliver deep-dive analyses to identify opportunities for revenue & product growth ...

New

$162 - $185/hr

The Bank Customer Protection Debit & Claims Data Science team builds the machine learning models ... You love the process of analyzing and creating, but also share our passion to do the right thing.

$82 - $172/hr

In this role, you will apply data science, statistical analysis, automation, and emerging technologies to complex operational challenges within the information environment and irregular warfare (IW ...

$120 - $160/hr

At The Hanover, data science is a key driver of how we understand risk, improve customer experiences, and make smarter business decisions. We're looking for a curious, analytical, and collaborative ...

$110 - $150/hr

The Media Data Science & Analytics team leads transformation in measuring, analyzing, and optimizing media and digital experiences. This role sits within the eCommerce analytics function, blending ...

$116 - $169/hr

Develop, test, and evaluate predictive models and statistical analyses to support mission-focused use cases.* Contribute to end-to-end data science and data engineering workflows, from data ...

$150 - $210/hr

This role operates at the intersection of data science, data engineering, cloud analytics platforms, and business strategy, serving as a technical authority and thought leader across complex ...

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Data Science Analyst Intern information

What does a data science analyst intern do?

A Data Science Analyst Intern assists with analyzing large datasets to uncover patterns, trends, and insights that support business decisions. They typically work alongside data scientists and analysts to clean, organize, and visualize data, as well as help build and test predictive models. Interns may also assist in preparing reports and presentations that communicate findings to stakeholders. This role provides hands-on experience with data analysis tools and techniques, and is a valuable stepping stone for a career in data science.

What are some typical projects or tasks that a data science analyst intern might work on during their internship?

As a Data Science Analyst Intern, you can expect to work on projects such as cleaning and analyzing large datasets, building and testing predictive models, and creating visualizations to communicate findings to stakeholders. Interns often collaborate closely with data scientists, engineers, and business analysts, gaining exposure to real-world data challenges and learning how to apply statistical and machine learning techniques. The role usually involves using tools like Python, R, and SQL, and you may also have opportunities to present your work to different teams, helping you develop both technical and communication skills.

What are the key skills and qualifications needed to thrive as a data science analyst intern, and why are they important?

To thrive as a Data Science Analyst Intern, you need a solid grasp of statistics, data analysis, and programming languages such as Python or R, typically supported by coursework or a degree in a quantitative field. Familiarity with data visualization tools like Tableau, SQL databases, and version control systems (e.g., Git) is often required. Problem-solving ability, attention to detail, and strong communication skills help interns effectively interpret data and share insights with team members. These skills are crucial for transforming raw data into actionable business insights and supporting data-driven decision-making.

What is the difference between Data Science Analyst Intern vs Data Analyst Intern?

AspectData Science Analyst InternData Analyst Intern
Required SkillsBasic programming, statistical analysis, data visualizationData manipulation, Excel, basic SQL
Work EnvironmentTech companies, startups, research labsBusiness, finance, marketing sectors
Typical Duration3-6 months internship3-6 months internship

The Data Science Analyst Intern role focuses on applying statistical and programming skills to analyze complex data sets, often involving machine learning and predictive modeling. In contrast, Data Analyst Interns primarily handle data cleaning, reporting, and visualization to support business decisions. Both roles are entry-level, require similar foundational skills, and are common in tech and business industries. Understanding these differences helps candidates target their applications effectively.

What are the most commonly searched types of Data Science Analyst jobs in Kentucky?

The most popular types of Data Science Analyst jobs in Kentucky are:

What are popular job titles related to Data Science Analyst Intern jobs in Kentucky?

For Data Science Analyst Intern jobs in Kentucky, the most frequently searched job titles are:

What cities in Kentucky are hiring for Data Science Analyst Intern jobs?

Cities in Kentucky with the most Data Science Analyst Intern job openings:

$138 - $167/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago


Job description

OverviewData Science AnalystSpringfield, VA or St. Louis, MO

Active TS (SCI eligibility) clearance and eligibility to obtain a CI poly

At Bcore, our strength comes from how we deliver impact to the mission. Whether it’s architecting critical IT solutions, producing actionable intelligence, or developing cutting edge technology, we succeed because of the expertise, collaboration, and agility of our teams. Our Mission Services division combines enterprise IT, cloud solutions, DevSecOps, systems engineering, software development, and operational support. Bcore accelerates decisive advantage for warfighters and intelligence professionals by fusing human insight, rapid-fire engineering, precision-measured outcomes, and relentless grit into mission-ready solutions.

Do you want to join a team that is building tailored technical solutions to modernize our government’s mission and our client’s business? Do you have a desire to change how people work? Are you interested in helping to protect our nation’s cyber interests? Join our growing team as a Data Science Analyst, supporting the NGA customer mission.

ResponsibilitiesWhat you get to do every day:

As a Data Science Analyst/Engineer join the the Data Engineering Team responsible for integrating new Data Stores and building the Metadata Application Profile (MAP) that aligns attributes from various Data Stores into a Search & Retrieval System, enabling discovery of imagery and data for analysis.This position focuses on metadata maintenance activities for the integration of metadata between systems and the associated API to enable discovery of data across the Enterprise and the Intelligence Community.

  • Work closely with the Lead Data Engineer to build and maintain theMAP, assess metadata quality, plan and coordinate metadata enhancement and remediation.
  • Determine/monitor MAP accuracy by conducting queries against data holdings in native systems and using the System User Interface (UI), API, Postgres and Elasticsearch database applications.
  • Support Systems Engineers and Software Developers by creating design documents for new Data Stores which identify the metadata fields, service specifications, volumetrics and standards needed to integrate into the Search and Discovery System.
  • Maintain an ongoing working relationship with government data stewards and system Data Store owners to inform end-user satisfaction and to keep abreast of attribute changes.
  • Investigate and respond to tickets/issues associated with metadata discrepancies or mapping.
Qualifications

Clearance Required: Active TS clearance (with SCI Eligibility) and eligibility to obtain CI Poly

Certification Required: Security +, Network+, or A+ are preferred. Ability to obtain one of these certifications within 6 months of start date if not currently in hand.

Education/Experience:

  • At least 5 years of experience with data management, transformation, visualization, analysis, metadata standards, and organization techniques and tools.
  • At least 5 years of experience with search tools, search results organization and the implications of metadata organization, indexing and catalog content.
  • Bachelor’s degree in systems Engineering or in related technical or scientific fields such as engineering, physics, mathematics, operations research, engineering management, Computer Science, Information Technology, Business, Management Information Systems, or related STEM degree program, or an additional 4 years of related data/systems engineering experience.
  • MS Degree and 10+ years of relevant experience
  • Excellent communication, analytical, problem solving, and organizational skills with the ability to present information and ideas clearly and concisely.
  • Strong technical skills, interest in technology, and the ability to troubleshoot simple technology problems, failures, or deficiencies.
  • Excellent skills with Microsoft office tools (Excel, PowerPoint, Notepad++)

What is ideal?

  • At least 5 years of experience with customer imagery and data repositories, products, data types, and uses.
  • Knowledge and at least 5 years of experience with GIS-related applications and tools.
  • Comfortable with:
    • Postgres and Elasticseach (build queries, analyze results)
    • GitLab (review code, recommend data remediation changes)
    • Openshift Container Platform (OCP) (approve merge requests)
    • Working in an Agile Software Development environment
  • Intelligence Community Experience preferred
What you can expect from us
  • Recognizing great achievements do not go unnoticed by bcore through service anniversaries, spot awards, and employee referral bonuses
  • You’ll join a growing organization of passionate, top-shelf, IT engineering professionals with extensive experience in actively developing the technology revolution in the Intelligence community
  • The expected salary range within the Washington, DC metropolitan area is: $138,000-$167,000. Final compensation is unique to each individual and will be determined based on factors such as experience, education, geographic location, and contractual requirements. This is not a guarantee.
  • Benefits include Health/Dental/Vision, 401(k), Paid Time Off, STD/LTD/Life Insurance/Voluntary Life Insurance, Stipends, Referral Bonuses, and more.

BCore is proud to be an equal opportunity workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation or any other characteristic protected by law.

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