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Data Analyst Machine Learning Jobs in Washington

SkyePoint Decisions

Data Analyst

Arlington, VA · Hybrid

$100K - $124K/yr

Familiarity with supervised and unsupervised machine learning concepts and models. * Ability to ... data environments. * Exposure to anomaly detection, trend analysis, statistical analysis, or ...

VTG

Data Scientist

Mclean, VA

The ideal candidate will have strong expertise in statistical analysis, machine learning, and data modeling, with the ability to translate complex data into actionable insights. What will you do?

VTG

Data Scientist

Chantilly, VA

The ideal candidate will have strong expertise in statistical analysis, machine learning, and data modeling, with the ability to translate complex data into actionable insights. What will you do?

VTG

Data Scientist

Herndon, VA

The ideal candidate will have strong expertise in statistical analysis, machine learning, and data modeling, with the ability to translate complex data into actionable insights. What will you do?

VTG

Data Scientist

Chantilly, VA · On-site

The ideal candidate will have strong expertise in statistical analysis, machine learning, and data modeling, with the ability to translate complex data into actionable insights. What will you do?

ManTech

Data Analyst

Ashburn, VA · On-site

Leverage knowledge of a variety of statistical and machine learning techniques learned within ... A passion for low-level / embedded data/science analytics * Working knowledge or cloud computing ...

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Data Analyst Machine Learning information

What are the key skills and qualifications needed to thrive in the Data Analyst Machine Learning position, and why are they important?

To thrive as a Data Analyst Machine Learning, you need strong analytical skills, a background in statistics or mathematics, and experience in data preprocessing, model building, and evaluation. Familiarity with programming languages such as Python or R, experience with machine learning libraries (like scikit-learn or TensorFlow), and relevant certifications (such as Google Data Analytics or AWS Certified Machine Learning) are highly beneficial. Effective communication, problem-solving, and collaboration skills help distinguish top performers in this role. These abilities are crucial for transforming raw data into actionable insights, presenting findings clearly, and driving data-informed decisions in business settings.

Is AI replacing data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, allowing analysts to focus on more complex insights and strategic decision-making. While AI tools can augment their work, the need for human expertise in interpreting results, understanding business context, and developing models remains essential in the field of data analysis and machine learning.

Is 40 too late for data science?

For a Data Analyst Machine Learning role, age is not a barrier to entering the field. Success depends on acquiring relevant skills such as programming, statistics, and machine learning tools, which can be learned at any age through online courses or certifications.

What is a Data Analyst Machine Learning job?

A Data Analyst Machine Learning job involves analyzing large datasets to extract insights and support decision-making using machine learning techniques. Professionals in this role clean, preprocess, and visualize data while building and evaluating predictive models. They work with programming languages like Python or R, use tools such as SQL and Tableau, and apply statistical methods to uncover patterns. This role bridges data analysis and machine learning by transforming raw data into actionable insights. Typically, they collaborate with data scientists, engineers, and business stakeholders to drive data-driven strategies.

What are the typical career progression opportunities for someone in a Data Analyst Machine Learning role?

Many professionals begin as Data Analysts with a focus on machine learning and, as they gain experience, can advance to roles such as Machine Learning Engineer, Data Scientist, or Analytics Manager. Career growth often involves taking on more complex projects, leading analytical teams, and contributing to strategic decision-making within the organization. Expanding your expertise in advanced machine learning techniques, big data tools, and business acumen can open doors to leadership positions. Additionally, working cross-functionally with engineering, product, and business teams provides valuable exposure and opportunities for further advancement.

Do data analysts work with machine learning?

Data analysts often work with machine learning by preparing data, performing exploratory data analysis, and applying basic models to support decision-making. However, more advanced machine learning tasks are typically handled by data scientists or machine learning engineers who have specialized skills in algorithms and programming tools like Python or R.

What is the salary of data analyst in AI ML?

The salary of a Data Analyst specializing in AI and machine learning typically ranges from $60,000 to $100,000 annually, depending on experience, location, and industry. Professionals with skills in Python, R, SQL, and machine learning frameworks may command higher salaries, especially in tech hubs or companies focusing on AI projects.
What are the most commonly searched types of Data Analyst Machine Learning jobs in Washington? The most popular types of Data Analyst Machine Learning jobs in Washington are:
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Data Analyst Machine Learning jobs near you
Data Analyst

Data Analyst

SkyePoint Decisions

Arlington, VA • Hybrid

$100K - $124K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 24 days ago

Key responsibilities

  • Analyze cybersecurity and operational datasets to identify trends, anomalies, and patterns.

  • Develop and maintain dashboards, reports, and visualizations to support operational and leadership reporting.

  • Perform data extraction, validation, cleansing, transformation, and enrichment using Python and SQL.

Job description

SkyePoint Decisions is a leading Cybersecurity Architecture and Engineering, Critical Infrastructure and Operations, and Applications Development and Maintenance IT service provider headquartered in Dulles, Virginia with operations across the U.S. We provide innovative enterprise-wide solutions as well as targeted services addressing the complex challenges faced by our federal government clients. Our focus is on enabling our clients to deliver their mission most efficiently and effectively – anytime, anywhere, securely. We combine technical expertise, mission awareness, and an empowered workforce to produce meaningful results.

This is a contingent position based upon customer approval.

SkyePoint Decisions is seeking a Data Analyst to support the Diplomatic Security Cyber Mission (DSCM) program providing leading cyber and technology security experience to enable innovative, effective, and secure business processes.

This position is located in Arlington, VA and will be onsite 5 days a week. No hybrid/telework allowed.

Responsibilities:

  • Analyze cybersecurity and operational datasets (e.g., network logs, authentication data, phishing activity, threat telemetry) to identify trends, anomalies, and patterns.
  • Develop and maintain dashboards, reports, and visualizations using Power BI, Tableau, or similar platforms to support operational and leadership reporting.
  • Perform data extraction, validation, cleansing, transformation, and enrichment using Python (Pandas) and SQL.
  • Support recurring reporting and analytics workflows by automating manual processes and improving data quality checks.
  • Conduct exploratory data analysis to support operational monitoring, situational awareness, and decision-making.
  • Collaborate with cybersecurity analysts and stakeholders to translate business and operational requirements into data-driven insights.
  • Develop and maintain metrics related to cyber activity, authentication trends, phishing events, and external threat activity.
  • Assist with identifying reporting gaps, data inconsistencies, and opportunities for process improvement.
  • Document data sources, reporting methodologies, business rules, and analytical processes to support transparency and repeatability.
  • Support ad hoc reporting requests and operational data analysis efforts.

Required Qualifications:

  • Bachelor's degree and minimum 9 years experience; 7 Years with Masters; 4 Years with PhD.
    • An additional four (4) years of experience may be substituted in lieu of the bachelors degree requirement.
  • Must possess or be able to obtain one of the following certification before start date. Continued certification required as a condition of employment:
    • CASP+ CE, CCNP Security, CEH, CFR, CHFI, CISA, CISSP (or Associate), Cloud+, CND, CySA+, GCED, GCIH, GICSP, SSCP
  • Experience using Python and Pandas for data analysis and transformation.
  • Experience writing and troubleshooting SQL queries for data extraction and analysis.
  • Experience building dashboards and reports using Power BI, Tableau, or similar visualization platforms.
  • Familiarity with cybersecurity data sources such as SIEM, EDR/XDR, authentication logs, or network telemetry.
  • Familiarity with supervised and unsupervised machine learning concepts and models.
  • Ability to communicate analytical findings to technical and non-technical stakeholders.
  • U.S. citizenship required.
  • Active Top Secret security clearance with the ability to obtain TS/SCI.

Preferred Qualifications:

  • Experience working with Splunk, Microsoft Defender, Palo Alto Networks, or similar cybersecurity platforms.
  • Familiarity with Databricks, PySpark, or large-scale data environments.
  • Exposure to anomaly detection, trend analysis, statistical analysis, or machine learning applications.
  • Experience supporting federal, DoD, or DoS environments.
  • Experience automating recurring reporting or data processing workflows.
  • Familiarity with leveraging AI tools, copilots, or basic agent-based workflows to automate or enhance data analysis, reporting, and operational tasks.

Compensation:

Salary Range: $100,000-$124,000

The SkyePoint Decisions salary range for this position is a general guideline only. It represents an estimated range for this position and is just one piece of our total compensation package.

Salary at SkyePoint is determined by various factors, including but not limited to location, work schedule, the candidate's combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability, market data and business considerations.

In addition to a competitive salary, SkyePoint offers benefits including a certification incentive program, PTO, floating federal holiday options, several insurance options including HMO and High Deductible plans with Health Savings Accounts [HSAs], Flex Spending Accounts [FSAs], Full Dental Plans, Vision, ST/LT Disability, Life Insurance, and 401k matched.

What We Can Offer You:

  • At SkyePoint, we go B.I.G. (beginning in GRATITUDE) by recognizing all we have and giving back to our employees, families, and communities. It instills a positive mindset that permeates all we do. By beginning in gratitude, SkyePoint can continue to spread living in gratitude each day.
  • Great Benefits: Several insurance options including HMO and High Deductible plans with Health Savings Accounts [HSAs], Flex Spending Accounts [FSAs], Full Dental Plans, ST/LT Disability, Life Insurance, floating federal holiday options, and 401k matched
  • Certificate Incentive Program: To promote professional development, we recognize and reward employees who obtain new certifications aligned with business needs.
  • Flexible Work Environment

SkyePoint Decisions is an established ISO 9001:2015 and ISO/IEC 27001:2013 certified small business and appraised at CMMI Level 3 for Services and Development. We possess a common vision of excellence and foster a collaborative team culture built upon individual performance and accountability. We invest in our people and systems to create value for our clients. It is the SkyePoint Way. We are grateful for the opportunity to work with exceptional people and give back to the communities we serve. Our employees value the flexibility at SkyePoint that allows them to balance quality work and their personal lives.

SkyePoint Decisions is a participating E-Verify Employer.

U.S. Citizenship is required for most positions.

Equal Opportunity Employer/Veterans/Disabled.

CCPA Disclosure Notice Here