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Data Science Jobs in Suffolk, VA (NOW HIRING)

Data Science Consulting Travel Required: Up to 10% Clearance Required: Active Secret What You Will Do: The Data Scientist will focus on performing ETL / data cleaning, developing interactive ...

Data Science Consulting Travel Required: Up to 10% Clearance Required: Active Secret What You Will Do: The Data Scientist will focus on performing ETL / data cleaning, developing interactive ...

Data Science Consulting Travel Required: Up to 10% Clearance Required: Active Secret What You Will Do: The Data Scientist will focus on performing ETL / data cleaning, developing interactive ...

Data Scientist

Chesapeake, VA ยท On-site

$77K - $176K/yr

You Have: * 2+ years of experience with artifi cia l intelligence, data science, machine learning engineering, sof tware engineering, data research, or data analytics * Experience with sof tware ...

You Have: * 2+ years of experience with artificial intelligence, data science, machine learning engineering, software engineering, data research, or data analytics * Experience with software ...

Data Scientist

Chesapeake, VA ยท On-site

$77K - $176K/yr

You Have: * 2+ years of experience with artifi cia l intelligence, data science, machine learning engineering, sof tware engineering, data research, or data analytics * Experience with sof tware ...

Data Scientist

Norfolk, VA ยท On-site

$77K - $176K/yr

You Have: * 2+ years of experience with artifi cia l intelligence, data science, machine learning engineering, sof tware engineering, data research, or data analytics * Experience with sof tware ...

Data Scientist

Carrollton, VA ยท On-site

$77K - $176K/yr

You Have: * 2+ years of experience with artifi cia l intelligence, data science, machine learning engineering, sof tware engineering, data research, or data analytics * Experience with sof tware ...

Data Scientist

Hampton, VA ยท On-site

$77K - $176K/yr

You Have: * 2+ years of experience with artifi cia l intelligence, data science, machine learning engineering, sof tware engineering, data research, or data analytics * Experience with sof tware ...

Data Scientist

Suffolk, VA ยท On-site

$77K - $176K/yr

You Have: * 2+ years of experience with artifi cia l intelligence, data science, machine learning engineering, sof tware engineering, data research, or data analytics * Experience with sof tware ...

Showing results 41-60

Data Science information

See Suffolk, VA salary details

$35.7K

$116.8K

$186.9K

How much do data science jobs pay per year?

As of Sep 5, 2026, the average yearly pay for data science in Suffolk, VA is $116,762.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,700.00 and $129,400.00 per year, depending on experience, location, and employer.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What does a data scientist do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.

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

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

Is a data scientist in high demand?

Data scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role requires skills in programming, statistics, and machine learning, and job growth is expected to continue as organizations expand their data capabilities.

What jobs can a data scientist do?

A data scientist can work in roles such as data analyst, machine learning engineer, data engineer, or business intelligence analyst. These roles involve analyzing large datasets, developing predictive models, and using tools like Python, R, and SQL to support decision-making across various industries.

What are the most commonly searched types of Data Science jobs in Suffolk, VA?

The most popular types of Data Science jobs in Suffolk, VA are:

What are popular job titles related to Data Science jobs in Suffolk, VA?

For Data Science jobs in Suffolk, VA, the most frequently searched job titles are:

What job categories do people searching Data Science jobs in Suffolk, VA look for?

The top searched job categories for Data Science jobs in Suffolk, VA are:

What cities near Suffolk, VA are hiring for Data Science jobs?

Cities near Suffolk, VA with the most Data Science job openings:

Infographic showing various Data Science job openings in Suffolk, VA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $116,762 per year, or $56.1 per hour.

Sr. Data Scientist, Elastic with Security Clearance

ECS

Hampton, VA โ€ข On-site

$175K - $200K/yr

Other

Re-posted 6 days ago


Job description

Job Description Everforth ECS is seeking a Sr. Data Scientist to join our team remotely This position is contingent upon contract award. Are you passionate about building intelligent search and retrieval systems and applying GenAI to solve real-world data challenges? Join ECS, a leading provider of cloud, AI, data, and enterprise transformation solutions. In this role, you will design and optimize next-generation search and retrieval experiences using Elasticsearch, Vector Search, and Retrieval-Augmented Generation (RAG) techniques to improve relevance, accuracy, and decision-making outcomes. We are seeking a Sr. Data Scientist focused on Search, RAG, and GenAI to support ECS's Professional Services. The ideal candidate enjoys working at the intersection of data science, search relevance, and large language models (LLMs), collaborating with customers and internal teams to deliver intelligent, high-impact solutions. You will play a key role in shaping search architectures, advising on best practices, and applying advanced AI techniques to enterprise-scale data sets. This role offers the opportunity to work with cutting-edge GenAI technologies while directly influencing customer success across diverse environments and use cases. Key Responsibilities * Design, implement, and optimize intelligent search solutions using Elasticsearch, including lexical, semantic, and vector-based search techniques. * Apply Retrieval-Augmented Generation (RAG) patterns to enhance LLM-driven applications with accurate, relevant, and contextual enterprise data. * Consult with customers to understand business objectives, data landscapes, and search challenges, translating requirements into effective AI-powered search strategies. * Build and refine embedding strategies, indexing approaches, and query workflows to improve relevance, precision, and recall. * Evaluate and integrate LLMs and GenAI capabilities into enterprise search and analytics use cases. * Collaborate with data, AI, and platform teams to align GenAI solutions with existing systems and operational workflows. * Provide strategic recommendations to improve search performance, result explainability, and overall user experience. * Lead knowledge-sharing sessions, technical workshops, and enablement activities related to GenAI, RAG, and advanced search techniques. * Serve as a trusted advisor for customers and internal stakeholders on emerging trends in AI-powered search and retrieval. * Stay current with advancements in Elasticsearch, GenAI, LLM tooling, and search relevance methodologies. Salary Range: $175,000 - $200,000 Required Skills * Hands-on experience applying Elasticsearch to search, analytics, or data science use cases. * Strong understanding of search concepts including relevance tuning, indexing strategies, and query optimization. * Experience working with data science or AI-driven solutions in enterprise environments. * Familiarity with large-scale data platforms and cloud environments (AWS, Azure, or GCP). * Ability to translate complex technical concepts into clear guidance for customers and stakeholders. * Strong analytical, problem-solving, and communication skills. * Willingness and ability to travel to customer sites as needed. * Must be a U.S. Citizen and have an active Secret U.S. Security Clearance. * Bachelor's degree in Computer Science, Data Science, or a related field (or equivalent experience). Desired Skills * Master's degree or PhD in Computer Science, Data Science, or a related field. * Experience with Vector, Semantic, and Lexical Search techniques. * Hands-on experience designing or implementing Retrieval-Augmented Generation (RAG) solutions. * Familiarity with RAG evaluation concepts and frameworks (RAGAS, faithfulness, context precision, etc.) * Experience working with LLMs and GenAI frameworks and tooling. * Familiarity with AgentAI Builder or agent-based AI architectures. * Experience applying GenAI to enterprise search, observability, or security data. * Elastic Certified Engineer or related Elastic certifications. * Experience with Elasticsearch Enterprise Search use cases. * Familiarity with complementary search technologies (OpenSearch, Solr, Lucene). * Understanding of cybersecurity, observability, or operational data domains. * Experience working in consulting, professional services, or managed service environments. * Strong collaboration skills with the ability to mentor and guide team members. * Exposure to Agile or project-based delivery models. ECS Federal LLC is an equal opportunity employer and does not discriminate or allow discrimination on the basis any characteristic protected by law. All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, or local jurisdiction law. is the federal segment of , a $4B global organization with over 10,000 employees. Our nearly 3,500 professionals deliver advanced technology solutions in data and AI, cybersecurity, and enterprise transformation, serving defense, intelligence, and federal civilian agencies. Our work powers mission-critical outcomes, strengthens technology partnerships, and creates meaningful opportunities for our people. We are defined by a commitment to excellence in delivery, a culture of innovation, and an environment where talent can thrive and grow. We value: * Attracting and developing top talent and high-performing teams * Fostering a culture that is engaging, accountable, and mission-driven Meet the challenge. Make a difference with Everforth ECS!