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Data Science Assistant Jobs in Oregon (NOW HIRING)

Aptive

$54.75 - $71/hr

Ensure data structures support operational analytics and performance monitoring. * Assist in ... Bachelors Degree in Computer Science, Information Systems, Data Science, Engineering, Mathematics ...

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Data Science Assistant information

What are Data Science Assistants?

Data Science Assistants are professionals who support data scientists and analytics teams by handling tasks such as data collection, data cleaning, preparing datasets, conducting preliminary analyses, and creating visualizations. They often work with large datasets, assist in maintaining data integrity, and help automate routine processes. Their role allows data scientists to focus on more complex modeling and analytical work, making the overall workflow more efficient. Data Science Assistants typically have a foundational understanding of statistics, programming (such as Python or R), and data management tools.

What are the key skills and qualifications needed to thrive as a Data Science Assistant, and why are they important?

To thrive as a Data Science Assistant, you need a solid understanding of statistics, data analysis, and programming (often with a background in mathematics, computer science, or a related field). Familiarity with tools like Python or R, data visualization software, and experience with databases or spreadsheet systems are typically required. Attention to detail, strong problem-solving abilities, and effective communication set outstanding candidates apart. These skills are crucial for supporting data-driven decision-making and ensuring accurate, actionable insights for organizations.

Is 40 too late for data science?

Data Science Assistants and other data science roles do not have strict age limits; many professionals start or transition into data science later in life. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, which can be learned at any age through online courses, certifications, and practical experience.

How does a Data Science Assistant typically collaborate with data scientists and other team members on projects?

As a Data Science Assistant, you will frequently support data scientists by preparing datasets, conducting preliminary data analysis, and creating visualizations. You will often work closely with analysts, engineers, and subject matter experts to gather requirements and ensure data is cleaned and formatted appropriately. Collaboration is a key part of the role, as you may participate in team meetings, share findings, and help with documentation to keep projects running smoothly. This supportive environment provides an excellent opportunity to learn from experienced professionals and gain exposure to the full data science workflow.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of the results come from 20% of the efforts or data. Data scientists often use this concept to focus on the most impactful features, data subsets, or tasks to improve model performance efficiently.

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

AspectData Science AssistantData Analyst
Required CredentialsBachelor's in Data Science, Statistics, or related fieldBachelor's in Statistics, Mathematics, or related field
Work EnvironmentTech companies, research labs, data-driven departmentsBusiness, finance, marketing, healthcare sectors
Employer & Industry UsageUsed in data science teams for supporting models and analysisUsed across industries for interpreting data and generating reports

While both roles involve working with data, a Data Science Assistant typically supports data science projects, focusing on data preparation and model testing. A Data Analyst primarily interprets data to generate insights and reports. The roles overlap in skills and work environments but differ in their core responsibilities and focus areas.

What do data assistants do?

Data Science Assistants support data analysis by collecting, cleaning, and organizing data sets. They often use tools like Excel, SQL, or Python to prepare data for modeling and reporting, assisting data scientists and analysts in project workflows.

Can I get a data scientist job with no experience?

Entry-level data science assistant roles often do not require prior experience, but candidates typically need a strong foundation in programming (such as Python or R), statistics, and data analysis. Gaining relevant skills through online courses, certifications, or personal projects can improve chances of securing such positions.
What are the most commonly searched types of Data Science jobs in Oregon? The most popular types of Data Science jobs in Oregon are:
What are popular job titles related to Data Science Assistant jobs in Oregon? For Data Science Assistant jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Data Science Assistant jobs in Oregon look for? The top searched job categories for Data Science Assistant jobs in Oregon are:
What cities in Oregon are hiring for Data Science Assistant jobs? Cities in Oregon with the most Data Science Assistant job openings:
Data Science Assistant jobs near you
Data Governance Specialist - Clearance Required

Data Governance Specialist - Clearance Required

Logistics Management Institute

On-site, Remote

$85K - $145K/yr

Other

Posted 21 days ago

Job description

Overview

LMI seeks an experienced Data Governance Specialist to support the U.S. Army's Holistic Health & Fitness (H2F) initiative as a member of the Data Management functional team within the H2F Program Support Team.

The Data Governance Specialist is responsible for supporting the definition, implementation, and enforcement of data governance practices for data used within the Holistic Health and Fitness Management System (H2FMS). This role ensures that data supporting scientific analysis, analytics, and user engagement activities are well-defined, properly managed, compliant, and fit for purpose.

The Data Governance Specialist works closely with the Technical Project Manager, data engineers, data scientists, epidemiologists, research psychologists, and software teams to ensure data assets are consistently defined, governed, and documented in accordance with Government direction. This role focuses on governance enablement and coordination, not independent policy-setting or system ownership.

LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.

Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors-helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.

Responsibilities
  • Support development and implementation of data governance practices for data used across H2FMS analytics, research, and reporting.
  • Assist in defining data ownership, stewardship roles, and governance workflows under Government direction.
  • Ensure governance practices align with H2F objectives and support cross-functional use of data.
  • Support creation and maintenance of data definitions, data dictionaries, metadata, and reference standards.
  • Ensure consistent use of data definitions across scientific, analytic, and software teams.
  • Coordinate with data engineers and analysts to ensure metadata and documentation remain current and accurate.
  • Assist in identifying and addressing data quality issues, including completeness, consistency, and usability.
  • Support definition of data lifecycle practices, including data onboarding, updates, retention, and archival under Government guidance.
  • Help ensure data used for analytics and decision support is traceable and well-documented.
  • Coordinate with analytics, research, and software teams to ensure governance requirements are understood and implemented.
  • Support translation of scientific and analytic data needs into governance artifacts and documentation.
  • Assist the TPM in tracking governance-related tasks, dependencies, and deliverables.
  • Contribute to governance documentation, standard operating procedures, and reference materials.
  • Support adherence to applicable Government data governance, privacy, and usage requirements.
  • Assist with preparation of briefings and materials that communicate data governance practices to stakeholders.
  •  
Qualifications

Required Qualifications

  • Bachelor's degree in Data Management, Information Systems, Data Science, Information Technology, or a related field.
  • Demonstrated experience supporting data governance, data management, or data stewardship activities.
  • Familiarity with data standards, metadata management, and data quality concepts.
  • Experience working with multidisciplinary teams spanning data, analytics, and software development.
  • Strong organizational, documentation, and communication skills.
  • Ability to obtain and maintain a Secret security clearance.

Desired Qualifications

  • Experience supporting data governance efforts in government or large-scale organizational environments.
  • Familiarity with analytics platforms, data pipelines, or data cataloging tools.
  • Experience working with scientific or research-driven data sets.
  • Prior experience supporting DoW or federal customers.

Location & Travel

  • Duty Location: This position may be performed in a remote or hybrid capacity.
  • Travel: Limited travel to Fort Eustis, Virginia or LMI Headquarters may be required to support planning, integration, or stakeholder engagement. 

Target salary range: $85,986 - $145,154

#LI-SH1

The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.

Applicants must meet eligibility requirements for a U.S. Government security clearance. Only US Citizens are eligible for a security clearance. For this position, LMI will only consider applicants with security clearances or applicants who are eligible for security clearances, due to the nature of the work.

Employment Type: OTHER

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