Prepare for and practice interview questions from Elder Research.

Elder Research Interview Questions

Elder Research Interview Guides

Let’s say that your company is running a standard control and variant AB test on a feature to increase conversion rates on the landing page. The PM checks the results and finds a .04 p-value.

How would you assess the validity of the result?

Experiment Validity

You are testing hundreds of hypotheses with many t-tests. What considerations should be made?

What is a key disadvantage of the F-test when compared to multiple t-tests?

What is a key disadvantage of the F-test when compared to multiple t-tests?

Hundreds of Hypotheses

You are testing hundreds of hypotheses with many t-tests. What considerations should be made?

Suppose there exists a new airline named Jetco that flies domestically across North America. Jetco recently had a study commissioned that tested the boarding time of every airline, and it came out that Jetco had the fastest average boarding times of any airline.

What factors could have biased this result, and what would you look into?

What could potentially bias the average boarding time in favor of an airline that only flies domestically?

What could potentially bias the average boarding time in favor of an airline that only flies domestically?

Boarding Times Bias

A new airline came out as the fastest average boarding times compared to other airlines.  What factors could have biased this result and what would you look into?

Elder Research Salaries by Position

Data Analyst Location: Arlington, VA (Hybrid, Candidates Must Be in the Washington DC area) Clearance Required: Must have a ACTIVE SECRET CLEARANCE: ACTIVE TOP-SECRET PERFERRED Data Driven. People Centered. People Centered. Data Driven Elder Research Inc. is a Data Science consulting firm specialized in providing analytic solutions to clients in Commercial and Government industries. Providing analytic solutions to hundreds of companies across numerous industries, our team enjoys a great variety in the type of work they do and exposure to a wide range of techniques and tools We are trusted advisors to our clients, building lasting relationships and partnering as preferred analytics providers. We use a variety of programming languages and tools to create analytic solutions, often fitting within our clients' environment and needs. Join our team and find great opportunities to hone your analytic skills, work on complex problems with amazing teammates, and gain valuable analytics consulting experience. Position Overview: We are seeking a motivated and detail-oriented professional with experience in data analysis and a background in Anti-Money Laundering (AML). The ideal candidate will have technical proficiency, problem-solving aptitude, and excellent communication skills, coupled with a desire to grow in a dynamic, fast-paced environment. This role involves working collaboratively with cross-functional teams to analyze, manage, and visualize data while tailoring solutions to meet client goals. Roles and Responsibilities: <ul> <li>Leverage excellent organizational skills and attention to detail to manage multiple tasks effectively.</li> <li>Prioritize and manage time efficiently in a fast-paced environment.</li> <li>Apply problem-solving aptitude to address and resolve complex data issues.</li> <li>Tailor applications to client business goals using an iterative methodology.</li> <li>Communicate clearly, both verbally and in writing, with teammates and clients.</li> <li>Demonstrate fluency in data manipulation, understanding, and issue identification.</li> <li>Execute tasks focused on data querying, data transformation, analysis, and visualization.</li> <li>Contribute to technical initiatives while proactively seeking growth and learning opportunities.</li> <li>Perform data analysis, data wrangling, transformation (ETL), and visualization using tools such as Power BI or Tableau.</li> <li>Collaborate with cross-functional teams to gather and document requirements, understand business needs, and design technical solutions.</li> <li>Write project reports and manage or maintain technical infrastructure as needed. </li></ul>Desired Skills and Qualifications: <ul> <li>Proficient in SQL to query and explore data for data analysis and reporting.</li> <li>Strong understanding of databases and database design principles, with experience in database management and processing.</li> <li>Familiarity with data transformation tools and frameworks, and experience handling large datasets.</li> <li>Experience building dashboards and reports to identify trends, issues, and patterns.</li> <li>Exposure to commercial or open-source tools for data analytics and visualization (Power BI, Tableau).</li> <li>Strong analytical skills and problem-solving abilities to address complex data challenges.</li> <li>Must have Bachelor's degree in Systems Engineering, Computer Science, Data Science, Data Analytics, or a related technical discipline, plus 1+ years of relevant experience in data analysis or management.</li> <li>Clearance Required: Current Secret required; Top Secret highly Desired</li> <li>Must reside in the DC Metro area and attend regularly scheduled meetings </li></ul>Preferred Skills: <ul> <li>AML Experience: Knowledge of financial compliance regulations and experience with Anti-Money Laundering.</li> <li>Familiarity with Git, AWS Sagemaker, PySpark or SAS for data science or analytics tasks.</li> <li>Experience in creating dashboards, transforming data, and using programming languages like Java or JavaScript.</li> <li>Ability to build and maintain technical solutions tailored to client requirements. </li></ul> About Elder Research, Inc Elder Research is a fast growing consulting firm specializing in predictive analytics. Being in the data mining business almost 30 years, we pride ourselves in our ability to find creative, cutting edge solutions to real-world problems. We work hard to provide the best value to our clients and allow each person to contribute their ideas and put their skills to use immediately. Our team members are passionate, curious, life-long learners. We value humility, servant-leadership, teamwork, and integrity. We seek to serve our clients and our teammates to the best of our abilities. In keeping with our entrepreneurial spirit, we want candidates who are self-motivated with an innate curiosity and strong team work. Elder Research believes in continuous learning and community - each week the entire company attends a "Tech Talk" and each office location provides lunch. Elder Research provides a supportive work environment with established parental, bereavement, and PTO policies. By prioritizing a healthy work-life balance - with reasonable hours, solid pay, low travel, and extremely flexible time off - Elder Research enables and encourages its employees to serve others and enjoy their lives. Elder Research, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. Elder Research is a Government contractor and many of our positions require US Citizenship.

Career Opportunities with Elder Research
A great place to work.
Careers At Elder Research
Current job opportunities are posted here as they become available.
Elder Research Inc. is a Data Science consulting firm specialized in providing analytic solutions to clients in Commercial and Government industries. Providing analytic solutions to hundreds of companies across numerous industries, our team enjoys a great variety in the type of work they do and exposure to a wide range of techniques and tools.
We are trusted advisors to our clients, building lasting relationships and partnering as preferred analytics providers. We use a variety of programming languages and tools to create analytic solutions, often fitting within our clients’ environment and needs.
Join our team and find great opportunities to hone your analytic skills, work on complex problems with amazing teammates, and gain valuable analytics consulting experience.
Summary of Position:
You will join a skilled team applying cutting edge research in a complex and evolving data environment, develop code to perform complex modeling to detect and characterize objects (using python, tensorflow, pytorch and related software packages) and enhance an evolving analytic tradecraft. You will integrate data from a variety of sources, formats and disciplines into coherent databases, train foundation models to advance the Intelligence Community, fine-tune models to address real intelligence questions, and write compelling documentation and reports for decision makers.
This position will be part of our Defense and Intelligence Team serving the Intelligence Community as our primary customer.
Essential Functions:
Conceptual, quantitative, organizational, research, writing, verbal communication and graphical representation skills.
Sound judgment and creative problem solving and independent working skills.
Sound interpersonal and teamwork skills to work with individuals and organizations, to include varying levels and types (Government, industry, and academia).
Facilitation skills to bring diverse groups together on issues and reach consensus across stakeholders.
The ability to perform complex analyses and to communicate its results using accurate, concise, and effective writing and through descriptive and graphical representations.
Technical understanding of the systems supporting aspects of the functional areas.
Knowledge of standard tools [e.g., the Sponsor’s various computing networks, Microsoft Office Products], as appropriate; and a demonstrated ability to learn to use and support other tools that may be added or developed as the program evolves.
Flexibility in assisting with ad hoc tasks and in adjusting as tasks are re-prioritized.
Job Specifications/Requirements:
Active TS/SCI security clearance with the required Polygraph.
Bachelor’s degree in a technical field (computer science, mathematics, statistics, etc.) with 3 years of relevant experience.
Data Science experience.
Python and/or R.
Desired Skills:
Prior experience with Pytorch, keras and overhead imagery would be beneficial but not a requirement.
Master’s degree in a technical field (computer science, mathematics, statistics etc) with 1 year of relevant experience.
Bachelor’s degree in a technical field (computer science, mathematics, statistics etc).
About Elder Research, Inc
Elder Research is a fast growing consulting firm specializing in predictive analytics. Being in the data mining business almost 30 years, we pride ourselves in our ability to find creative, cutting edge solutions to real-world problems. We work hard to provide the best value to our clients and allow each person to contribute their ideas and put their skills to use immediately.
Our team members are passionate, curious, life-long learners. We value humility, servant-leadership, teamwork, and integrity. We seek to serve our clients and our teammates to the best of our abilities. In keeping with our entrepreneurial spirit, we want candidates who are self-motivated with an innate curiosity and strong team work.
Elder Research believes in continuous learning and community - each week the entire company attends a “Tech Talk” and each office location provides lunch. Elder Research provides a supportive work environment with established parental, bereavement, and PTO policies. By prioritizing a healthy work-life balance - with reasonable hours, solid pay, low travel, and extremely flexible time off - Elder Research enables and encourages its employees to serve others and enjoy their lives.
Elder Research, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
Elder Research is a Government contractor and many of our positions require US Citizenship.

#J-18808-Ljbffr

Career Opportunities with Elder Research A great place to work. Current job opportunities are posted here as they become available. Clearance Required: Active TS/SCI with Polygraph Elder Research Inc. is a Data Science consulting firm specialized in providing analytic solutions to clients in Commercial and Government industries. Our team enjoys a great variety in the type of work they do and exposure to a wide range of techniques and tools. Join our team and find great opportunities to hone your analytic skills, work on complex problems with amazing teammates, and gain valuable analytics consulting experience. Summary of Position: The Senior Level Product Manager for this AI/ML Program plays a critical role in the intersection of technology and strategy. This individual will operate at the forefront of AI and deep learning technologies, championing transformational changes within the Digital Intelligence Environment (DIE). Essential Functions: <ul><li>Provide strategic insight and advice concerning the direction and applicability of industry-standard solutions. </li><li>Offer specialized expertise to facilitate the development of comprehensive methods for defining present and future strategic product milestones. </li><li>Monitor all facets of product performance, and assist in the formulation of long-term plans. </li><li>Utilize industry-specific knowledge to evaluate an organization's operational and functional baseline. </li><li>Collaborate closely with senior managers and executives to provide industry foresight and strategic guidance. </li><li>Participate actively in account strategy sessions, strategic assessments, and design reviews to validate enterprise approaches and associated work products. </li><li>Analyze user requirements, conduct feasibility studies, and define necessary resources for each task. </li><li>Serve as a liaison to client personnel. </li><li>Provide strategic counsel to other technical staff, particularly in areas such as specifications, architectures, and information system design. </li><li>Stay abreast of developments within their field of expertise and apply them to the client environment, encompassing emerging technologies, lessons learned, best practices, and assessment methodologies. </li><li>Serve as the primary interface connecting stakeholders, users, and the development team. </li><li>Engage with users and customers to discern and comprehend their underlying needs. </li><li>Collaborate with both internal and external stakeholders, including program managers, to formulate a product vision and roadmap that aligns with the AI/ML Program's objectives. </li><li>Work in close coordination with software engineering teams to fulfill user needs and construct user experiences that meet the standards expected by the Intelligence Community, Department of Defense (DoD), and government workforce. </li><li>Support the entire product development lifecycle, from conceptualization and design to implementation and evaluation, particularly for moderately complex product development efforts. </li><li>Assist in the definition of the product strategy and roadmap for routine designs and overseeing the development and testing process through cross-functional teams. </li><li>Effectively communicate, educate, and advocate the vision and goals of new products, both internally and externally. </li><li>Be accountable for the successful delivery of customer-centric products. </li><li>Manage continuous discovery and delivery throughout the product's lifecycle. </li> </ul>Job Specifications/Requirements: <ul><li>A Bachelor's in a relevant field such as Computer Science, Information Technology, Business, or a related discipline. </li><li>Product management expertise, strategic acumen, and the ability to excel in dynamic and challenging environments. </li><li>Customer empathy and user-centric mindset, with experience in conducting user research and testing. </li><li>Analytical and problem-solving skills, with the ability to use data and metrics to drive product decisions. </li><li>6+ months of experience in AI space. </li><li>Adaptive Learning & AI Curiosity: A proven track record of proactively seeking out new knowledge and applying fresh insights to work. </li> </ul>Desired Skills: <ul><li>Relevant certifications or additional education in Product Management, Project Management, or a related field are a plus. </li><li>Lead high-performing teams delivering IT solutions. </li><li>AI/ML Familiarity, an understanding of AI/ML concepts, algorithms, and current trends. </li><li>Some understanding of coding or software development, especially in languages or tools commonly used in AI. </li><li>Cross-functional collaboration experience working with diverse teams. </li><li>Agile/scrum experience and familiarity with Agile methodologies. </li><li>Experience working in a joint military environment. </li><li>A Master’s Degree in a relevant field is a plus. </li> </ul>About Elder Research, Inc Elder Research is a fast-growing consulting firm specializing in predictive analytics. We pride ourselves in our ability to find creative, cutting-edge solutions to real-world problems. We provide the best value to our clients and allow each person to contribute their ideas and put their skills to use immediately. Elder Research believes in continuous learning and community - each week the entire company attends a “Tech Talk” and each office location provides lunch. We provide a supportive work environment with established parental, bereavement, and PTO policies. By prioritizing a healthy work-life balance, Elder Research enables and encourages its employees to serve others and enjoy their lives. Elder Research, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. Elder Research is a Government contractor and many of our positions require US Citizenship. #J-18808-Ljbffr

Data Scientist: Cleared Talent Community - Maryland

Location:  Ft. Meade, MD

Clearance Required:  TS/SCI with Polygraph

Requisition Type:   Pipeline  - this is  not a current opening  but rather  a talent pipeline for Data Scientists of all levels with polygraph clearances  interested in supporting the U.S. Intelligence Community. When new cleared Data Scientist positions become available, this talent community will be the first place our recruiters look to fill the roles. Candidates with profiles in this talent community can also expect to receive regular updates on relevant new job opportunities. Be sure to also apply to any relevant current funded/awarded openings, if available.

People Centered. Data Driven

Elder Research Inc. is a Data Science consulting firm specialized in providing analytic solutions to clients in Commercial and Government industries. Providing analytic solutions to hundreds of companies across numerous industries, our team enjoys a great variety in the type of work they do and exposure to a wide range of techniques and tools

We are trusted advisors to our clients, building lasting relationships and partnering as preferred analytics providers. We use a variety of programming languages and tools to create analytic solutions, often fitting within our clients' environment and needs.

Join our team and find great opportunities to hone your analytic skills, work on complex problems with amazing teammates, and gain valuable analytics consulting experience.

Summary of Position:

We are seeking talented and motivated Data Scientists with expertise in machine learning, statistical analysis, and artificial intelligence to join our team. In these roles, you will be responsible for developing advanced algorithms and data-driven solutions that address complex challenges.

These positions will be part of our Defense and Intelligence Business unit serving the Intelligence Community as our primary customer.

Essential Functions:

As a Data Scientist, you will:
Develop and implement machine learning, data mining, statistical, and graph-based algorithms to analyze large and complex datasets.
Prototype and evaluate multiple algorithms, selecting the final model based on rigorous performance metrics.
Design and execute experiments or create models to generate data when training datasets are unavailable.
Generate reports and visualizations that provide actionable insights and summarize data findings for clients.
Translate complex data analysis into clear, actionable recommendations.
Collaborate with subject matter experts to automate manual data analysis processes and integrate analytics into production frameworks.
Conduct assessments of clients' preparedness to integrate data analytics into their operations, including technical, cultural, and workforce aspects.
Apply expert knowledge in data science to deliver solutions that address clients' business needs.
Stay current with emerging tools and techniques in machine learning, statistical modeling, and data analytics to continuously improve the quality of your work.
This role requires a self-driven individual capable of working under minimal supervision, with a strong ability to translate raw data into concise and actionable insights. You will work closely with clients, managers, and technical staff to understand business needs and deliver effective, data-driven solutions that enhance decision-making and operational effectiveness.
Job Specifications/Requirements:      A current TS/SCI with Polygraph is required for this role.
BA/BS in Math, Statistics, Engineering, Computer Science, or related field
Proficiency with Python and R.
Experience using large data sets to solve problems.
Knowledge of and experience with machine learning, data wrangling, advanced statistical data analysis and modeling.
Ability to communicate complex models and concepts effectively in non-technical language.
Desired Skills:     Bachelors Degree with 4+ years of relevant experience.
Masters Degree with 2+ years of relevant experience.
PhD. with 1+ years of relevant experience.
Familiarity with commercial and open-source data science software.
Familiarity with relational databases: Oracle, SQL, and ETL tools.

Salary and Benefit Information:

The likely salary range for this position is $117,000-$196,000. This is not, however, a guarantee of compensation or salary. Salary will be set based on experience, geographic location and contractual requirements, which could possibly fall outside of this range.

Elder Research values continuous learning, a supportive work environment, and a healthy work-life balance. We provide family health, dental, and vision benefits, employer-paid disability, paid-time off, and paid parental leave. We offer a 401(k) plan with employer contribution as well as an Employee Stock Option Plan (ESOP). Our employees enjoy reasonable hours, solid pay, low travel, and extremely flexible time off.

About Elder Research, Inc

Elder Research is a fast growing consulting firm specializing in predictive analytics. Being in the data mining business almost 30 years, we pride ourselves in our ability to find creative, cutting edge solutions to real-world problems. We work hard to provide the best value to our clients and allow each person to contribute their ideas and put their skills to use immediately.

Our team members are passionate, curious, life-long learners. We value humility, servant-leadership, teamwork, and integrity. We seek to serve our clients and our teammates to the best of our abilities. In keeping with our entrepreneurial spirit, we want candidates who are self-motivated with an innate curiosity and strong team work.

Elder Research believes in continuous learning and community - each week the entire company attends a "Tech Talk" and each office location provides lunch. Elder Research provides a supportive work environment with established parental, bereavement, and PTO policies. By prioritizing a healthy work-life balance - with reasonable hours, solid pay, low travel, and extremely flexible time off - Elder Research enables and encourages its employees to serve others and enjoy their lives.

Elder Research, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

Elder Research is a Government contractor and many of our positions require US Citizenship.

Career Opportunities with Elder Research A great place to work. Careers At Elder Research Current job opportunities are posted here as they become available. Data Scientist; Cleared Talent Community - Virginia Data Scientist (Cleared Talent Community - Virginia) Locations: McLean-VA, Chantilly-VA, or Reston-VA Clearance Required: TS/SCI with Polygraph Requisition Type: Pipeline this is not a current opening but rather a talent pipeline for Data Scientists of all levels with polygraph clearances interested in supporting the U.S. Intelligence Community. When new cleared Data Scientist positions become available, this talent community will be the first place our recruiters look to fill the roles. Candidates with profiles in this talent community can also expect to receive regular updates on relevant new job opportunities. Elder Research Inc. is a premier Data Science consulting firm specialized in providing analytic solutions to clients in Commercial and Government industries. Providing analytic solutions to hundreds of companies across numerous industries, our team enjoys a great variety in the type of work they do and exposure to a wide range of techniques and tools. Join our team and find great opportunities to hone your analytic skills, work on complex problems with amazing teammates, and gain valuable analytics consulting experience. Position Responsibilities: We are seeking talented and motivated Data Scientists with expertise in machine learning, statistical analysis, and artificial intelligence to join our team. In these roles, you will be responsible for developing advanced algorithms and data-driven solutions that address complex challenges. As a Data Scientist, you will: Develop and implement machine learning, data mining, statistical, and graph-based algorithms to analyze large and complex datasets. Prototype and evaluate multiple algorithms, selecting the final model based on rigorous performance metrics. Design and execute experiments or create models to generate data when training datasets are unavailable. Generate reports and visualizations that provide actionable insights and summarize data findings for clients. Translate complex data analysis into clear, actionable recommendations. Collaborate with subject matter experts to automate manual data analysis processes and integrate analytics into production frameworks. Apply expert knowledge in data science to deliver solutions that address clients' business needs. Conduct assessments of clients' preparedness to integrate data analytics into their operations, including technical, cultural, and workforce aspects. Stay current with emerging tools and techniques in machine learning, statistical modeling, and data analytics to continuously improve the quality of your work. This role requires a self-driven individual capable of working under minimal supervision, with a strong ability to translate raw data into concise and actionable insights. You will work closely with clients, managers, and technical staff to understand business needs and deliver effective, data-driven solutions that enhance decision-making and operational effectiveness. Required Degree and Experience: Educational Background: Bachelors Degree in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering, or computer science) with 1-2 years of relevant work experience. Or, a Masters Degree with 1 years of relevant work experience. Or, a PhD with 0 years of relevant work experience. Experience in applied research, big data analytics, statistics, data science, computer science, operations research, machine learning, or related quantitative disciplines. Required Skills: Programming & Data Analysis: Proficiency with data analysis tools and programming languages such as R, Python, SAS, MATLAB, Java, C++, or SQL. Experience in developing experiments to collect or simulate data when required data is unavailable. Ability to develop feature vectors for machine learning algorithms and identify, tune, and evaluate the most appropriate algorithms. Machine Learning & Statistical Analysis: Knowledge of machine learning, statistical modeling, and data wrangling. Experience in developing, training, and validating machine learning models. Ability to develop data-driven solutions, data models, and visualizations. Advanced Analytics & Big Data: Proficiency with big data technologies such as AWS, Azure, NoSQL databases (e.g., MongoDB, DynamoDB, Redis), Hadoop, or Spark. Familiarity with cloud-based distributed database technologies like Databricks and tools like PySpark. Strong ability to communicate complex models and concepts to non-technical stakeholders. Comfortable working and collaborating in dynamic environments. Required Clearance: Active TS/SCI clearance with a Polygraph Desired Skills: Familiarity with relational databases (e.g., Oracle, PostgreSQL). Proficiency with unsupervised, semi-supervised, and supervised learning algorithms and technologies. Understanding of the data science lifecycle (e.g., CRISP-DM). Some positions may desire experience in applying AI/ML techniques to solve cybersecurity challenges. Some positions may desire experience applying data science methods to cybersecurity problems. Some position may prefer a Security certification. Capable of building models for deployment in real-time environments and supporting the cybersecurity mission space. Strong background in developing predictive models and quantitative simulations. Experience in consulting, including organizational and technology assessments. Work Schedule: Ability to work on-site for 36-40 hours during a typical week. Travel: less than 10% About Elder Research, Inc Elder Research is a fast-growing consulting firm specializing in predictive analytics. Being in the data mining business almost 30 years, we pride ourselves in our ability to find creative, cutting-edge solutions to real-world problems. We work hard to provide the best value to our clients and allow each person to contribute their ideas and put their skills to use immediately. Our team members are passionate, curious, life-long learners. We value humility, servant-leadership, teamwork, and integrity. We seek to serve our clients and our teammates to the best of our abilities. In keeping with our entrepreneurial spirit, we want candidates who are self-motivated with an innate curiosity and strong teamwork. Elder Research believes in continuous learning and community - each week the entire company attends a Tech Talk and each office location provides lunch. Elder Research provides a supportive work environment with established parental, bereavement, and PTO policies. By prioritizing a healthy work-life balance - with reasonable hours, solid pay, low travel, and extremely flexible time off - Elder Research enables and encourages its employees to serve others and enjoy their lives. Elder Research, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. Elder Research is a government contractor and many of our positions require US Citizenship. J-18808-Ljbffr

Software Engineer Location: Ft Meade, MD On-site Clearance Required: TS/SCI with Polygraph People Centered. Data Driven Elder Research Inc. is a Data Science consulting firm specialized in providing analytic solutions to clients in Commercial and Government industries. Providing analytic solutions to hundreds of companies across numerous industries, our team enjoys a great variety in the type of work they do and exposure to a wide range of techniques and tools We are trusted advisors to our clients, building lasting relationships and partnering as preferred analytics providers. We use a variety of programming languages and tools to create analytic solutions, often fitting within our clients' environment and needs. Join our team and find great opportunities to hone your analytic skills, work on complex problems with amazing teammates, and gain valuable analytics consulting experience. Summary of Position: Elder Research has multiple positions available for talented software engineers with experience in any of the following: <ul> <li>Containerized web applications and services including development, implementation, implementation, and troubleshooting</li> <li>Data pipeline development in support of ML operations and Exploratory Data Analysis tasks</li> <li>High performance computing including Operations and Maintenance activities and data compliance</li> <li>Infrastructure as Code and Infrastructure as a Service including design, interface implementation, and automation</li> <li>Middleware development using Java and Spring Framework</li> <li>Web application development including requirements gathering, design, development, and maintenance </li></ul>All positions require a TS/SCI with Polygraph and will generally be on-site. These positions will be part of our Defense and Intelligence Business unit serving the Intelligence Community as our primary customer. Education and Experience: <ul> <li>Masters + 3 years of relevant experience</li> <li>Bachelors + 5 years of relevant experience</li> <li>HS Grad + 7 years of relevant experience </li></ul>Job Specifications/Requirements: <ul> <li>Experience using Linux CLI</li> <li>Experience with Python, Bash, or Java</li> <li>Experience with Javascript, Javascript frameworks, HTML, or CSS</li> <li>Experience with GitLab or CI/CD principles, methodologies, and tools such as GitLab CI, Jenkins, etc.</li> <li>Experience with container and container orchestration technologies (Docker, Kubernetes)</li> <li>Experience with the Atlassian Suite of Tools such as Jira and Confluence </li></ul>Desired Skills: <ul> <li>Experience with testing frameworks or automation tools</li> <li>Experience with IaC (Infrastructure as Code) principles and automation tools including Ansible</li> <li>Experience using Apache NiFi</li> <li>Experience with REST APIs</li> <li>Experience with software frameworks for big data such as Splunk and Elastic Stack </li></ul> Salary and Benefit Information: The likely salary range for this position is $117,300-$179,400. This is not, however, a guarantee of compensation or salary. Salary will be set based on experience, geographic location and contractual requirements, which could possibly fall outside of this range. Elder Research values continuous learning, a supportive work environment, and a healthy work-life balance. We provide family health, dental, and vision benefits, employer-paid disability, paid-time off, and paid parental leave. We offer a 401(k) plan with employer contribution as well as an Employee Stock Option Plan (ESOP). Our employees enjoy reasonable hours, solid pay, low travel, and extremely flexible time off. About Elder Research, Inc Elder Research is a fast growing consulting firm specializing in predictive analytics. Being in the data mining business almost 30 years, we pride ourselves in our ability to find creative, cutting edge solutions to real-world problems. We work hard to provide the best value to our clients and allow each person to contribute their ideas and put their skills to use immediately. Our team members are passionate, curious, life-long learners. We value humility, servant-leadership, teamwork, and integrity. We seek to serve our clients and our teammates to the best of our abilities. In keeping with our entrepreneurial spirit, we want candidates who are self-motivated with an innate curiosity and strong team work. Elder Research believes in continuous learning and community - each week the entire company attends a "Tech Talk" and each office location provides lunch. Elder Research provides a supportive work environment with established parental, bereavement, and PTO policies. By prioritizing a healthy work-life balance - with reasonable hours, solid pay, low travel, and extremely flexible time off - Elder Research enables and encourages its employees to serve others and enjoy their lives. Elder Research, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. Elder Research is a Government contractor and many of our positions require US Citizenship.

Career Opportunities with Elder Research
A great place to work.
Careers At Elder Research
Current job opportunities are posted here as they become available.
Data Scientist; Cleared Talent Community - Virginia Data Scientist (Cleared Talent Community - Virginia)
Locations: McLean-VA, Chantilly-VA, or Reston-VA
Clearance Required: TS/SCI with Polygraph
Requisition Type: Pipeline – this is not a current opening but rather a talent pipeline for Data Scientists of all levels with polygraph clearances interested in supporting the U.S. Intelligence Community. When new cleared Data Scientist positions become available, this talent community will be the first place our recruiters look to fill the roles. Candidates with profiles in this talent community can also expect to receive regular updates on relevant new job opportunities.
Elder Research Inc. is a premier Data Science consulting firm specialized in providing analytic solutions to clients in Commercial and Government industries. Providing analytic solutions to hundreds of companies across numerous industries, our team enjoys a great variety in the type of work they do and exposure to a wide range of techniques and tools.
Join our team and find great opportunities to hone your analytic skills, work on complex problems with amazing teammates, and gain valuable analytics consulting experience.
Position Responsibilities:
We are seeking talented and motivated Data Scientists with expertise in machine learning, statistical analysis, and artificial intelligence to join our team. In these roles, you will be responsible for developing advanced algorithms and data-driven solutions that address complex challenges.
As a Data Scientist, you will:
Develop and implement machine learning, data mining, statistical, and graph-based algorithms to analyze large and complex datasets.
Prototype and evaluate multiple algorithms, selecting the final model based on rigorous performance metrics.
Design and execute experiments or create models to generate data when training datasets are unavailable.
Generate reports and visualizations that provide actionable insights and summarize data findings for clients.
Translate complex data analysis into clear, actionable recommendations.
Collaborate with subject matter experts to automate manual data analysis processes and integrate analytics into production frameworks.
Apply expert knowledge in data science to deliver solutions that address clients' business needs.
Conduct assessments of clients' preparedness to integrate data analytics into their operations, including technical, cultural, and workforce aspects.
Stay current with emerging tools and techniques in machine learning, statistical modeling, and data analytics to continuously improve the quality of your work.
This role requires a self-driven individual capable of working under minimal supervision, with a strong ability to translate raw data into concise and actionable insights. You will work closely with clients, managers, and technical staff to understand business needs and deliver effective, data-driven solutions that enhance decision-making and operational effectiveness.
Required Degree and Experience:
Educational Background:
Bachelor’s Degree in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering, or computer science) with 1-2+ years of relevant work experience.
Or, a Master’s Degree with 1+ years of relevant work experience.
Or, a PhD with 0+ years of relevant work experience.
Experience in applied research, big data analytics, statistics, data science, computer science, operations research, machine learning, or related quantitative disciplines.
Required Skills:
Programming & Data Analysis:
Proficiency with data analysis tools and programming languages such as R, Python, SAS, MATLAB, Java, C++, or SQL.
Experience in developing experiments to collect or simulate data when required data is unavailable.
Ability to develop feature vectors for machine learning algorithms and identify, tune, and evaluate the most appropriate algorithms.
Machine Learning & Statistical Analysis:
Knowledge of machine learning, statistical modeling, and data wrangling.
Experience in developing, training, and validating machine learning models.
Ability to develop data-driven solutions, data models, and visualizations.
Advanced Analytics & Big Data:
Proficiency with big data technologies such as AWS, Azure, NoSQL databases (e.g., MongoDB, DynamoDB, Redis), Hadoop, or Spark.
Familiarity with cloud-based distributed database technologies like Databricks and tools like PySpark.
Strong ability to communicate complex models and concepts to non-technical stakeholders.
Comfortable working and collaborating in dynamic environments.
Required Clearance:
Active TS/SCI clearance with a Polygraph
Desired Skills:
Familiarity with relational databases (e.g., Oracle, PostgreSQL).
Proficiency with unsupervised, semi-supervised, and supervised learning algorithms and technologies.
Understanding of the data science lifecycle (e.g., CRISP-DM).
Some positions may desire experience in applying AI/ML techniques to solve cybersecurity challenges.
Some positions may desire experience applying data science methods to cybersecurity problems.
Some position may prefer a Security+ certification.
Capable of building models for deployment in real-time environments and supporting the cybersecurity mission space.
Strong background in developing predictive models and quantitative simulations.
Experience in consulting, including organizational and technology assessments.
Work Schedule:
Ability to work on-site for 36-40 hours during a typical week.
Travel: less than 10%
About Elder Research, Inc
Elder Research is a fast-growing consulting firm specializing in predictive analytics. Being in the data mining business almost 30 years, we pride ourselves in our ability to find creative, cutting-edge solutions to real-world problems. We work hard to provide the best value to our clients and allow each person to contribute their ideas and put their skills to use immediately.
Our team members are passionate, curious, life-long learners. We value humility, servant-leadership, teamwork, and integrity. We seek to serve our clients and our teammates to the best of our abilities. In keeping with our entrepreneurial spirit, we want candidates who are self-motivated with an innate curiosity and strong teamwork.
Elder Research believes in continuous learning and community - each week the entire company attends a “Tech Talk” and each office location provides lunch. Elder Research provides a supportive work environment with established parental, bereavement, and PTO policies. By prioritizing a healthy work-life balance - with reasonable hours, solid pay, low travel, and extremely flexible time off - Elder Research enables and encourages its employees to serve others and enjoy their lives.
Elder Research, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
Elder Research is a government contractor and many of our positions require US Citizenship.

#J-18808-Ljbffr

Data Engineer Location: Arlington, VA (Hybrid, Candidates Must Be in the Washington DC area) Clearance Required: Must have a ACTIVE SECRET CLEARANCE: ACTIVE TOP-SECRET PERFERRED Data Driven. People Centered. Elder Research Inc. is a Data Science consulting firm specialized in providing analytic solutions to clients in Commercial and Government industries. Providing analytic solutions to hundreds of companies across numerous industries, our team enjoys a great variety in the type of work they do and exposure to a wide range of techniques and tools We are trusted advisors to our clients, building lasting relationships and partnering as preferred analytics providers. We use a variety of programming languages and tools to create analytic solutions, often fitting within our clients' environment and needs. Join our team and find great opportunities to hone your analytic skills, work on complex problems with amazing teammates, and gain valuable analytics consulting experience. Summary of Position: As a Data Engineer with expertise in Anti-Money Laundering (AML), you will collaborate with clients, managers, and technical teams to understand business needs, design technical strategies, and deliver data-driven solutions that address complex challenges. Your primary responsibility will be to design and implement robust, repeatable, and automated data pipelines that ingest and transform raw data, supporting advanced analytics, machine learning models, and compliance efforts. These data pipelines will be optimized for integration into large-scale applications or data visualization platforms, enabling actionable insights. Additionally, you will leverage your AML expertise to align technical solutions with regulatory requirements, ensuring data integrity, security, and compliance throughout the development lifecycle. Essential Functions: Extensive experience in Anti-Money Laundering (AML), including developing and deploying data-driven solutions to support compliance and risk mitigation efforts. Strong troubleshooting and problem-solving skills with a proven ability to work with diverse data sets, including quantitative and text data. Skilled in writing reusable code in Python, SQL, Java, or other languages, and refining it through code review and collaboration. Expertise in building and deploying robust data pipelines and end-to-end systems, including in air-gapped environments, with a focus on scalability and long-term stability. Participate in all stages of the engineering lifecycle, from ideation and requirements gathering to implementation, testing, deployment, and maintenance, while providing leadership as needed. Collaborate with data scientists, analysts, and client engagement teams to create and deploy data applications or visualization tools that drive meaningful business decisions. Effectively communicate technical results through presentations, reports, and discussions tailored to clients with varying levels of analytic expertise. Demonstrated ability to work independently in dynamic, cross-functional environments while fostering collaboration and team cohesion. Exceptional communication and consulting skills to ensure alignment and effective problem-solving across diverse teams and stakeholders. Must be able to work in a Secret or Top Secret Clearance Capacity Job Specifications/Requirements: Must have an ACTIVE SECRET CLEARANCE: ACTIVE TOP-SECRET PERFERRED Must have 2-4 Years Data Engineering Experience Possess undergraduate and graduate degrees in fields such as engineering, computer science, analytics, math, finance, accounting, MIS, social sciences, physics, or decision science. Design, build, and deploy data engineering pipelines to transform raw data into analytics-ready formats, supporting downstream machine learning (ML) models using languages like Python, R, and SQL. Develop and enhance end-to-end ML pipelines, integrating back-end and front-end components in both on-premises and cloud environments. Collaborate with data scientists, analysts, client engagement managers, and product managers to gather business requirements and deliver tailored solutions. Optimize existing ML pipelines and operations, focusing on best practices and improved efficiency. Work effectively in fast-paced, collaborative, and agile development environments. Engage with clients, stakeholders, and subject matter experts to understand, document, and refine requirements. Display adaptability and a willingness to learn new skills and tackle unfamiliar challenges. Communicate clearly and effectively, both verbally and in writing, to team members and clients. Demonstrate humility, a growth mindset, and a collaborative attitude, contributing to team learning and innovation. Open to travel and on-site work with local and non-local clients, adjusting to project needs. Desired Skills: Advanced degree (MS) in a relevant field (analytics, math, statistics, computer science, management information systems, social sciences, engineering, physics, decision science, or business, etc.,) Experience using version control (e.g. git, svn, Mercurial) and collaborative programming techniques (e.g. pair programming, code reviews) Experience with containerization and environment management (venv, conda, etc.,) Experience with one or more technologies, such as R Shiny, Databricks, AWS, Azure Familiarity with vector, object, and document storage databases Experience implementing data engineering processes in a remote, austere environment to include using bash, Experience with business intelligence and data visualization platforms (Power BI, Tableau, etc.,). Understanding of the data analytics lifecycle (e.g. CRISP-DM). About Elder Research, Inc Elder Research is a fast growing consulting firm specializing in predictive analytics. Being in the data mining business almost 30 years, we pride ourselves in our ability to find creative, cutting edge solutions to real-world problems. We work hard to provide the best value to our clients and allow each person to contribute their ideas and put their skills to use immediately. Our team members are passionate, curious, life-long learners. We value humility, servant-leadership, teamwork, and integrity. We seek to serve our clients and our teammates to the best of our abilities. In keeping with our entrepreneurial spirit, we want candidates who are self-motivated with an innate curiosity and strong team work. Elder Research believes in continuous learning and community - each week the entire company attends a "Tech Talk" and each office location provides lunch. Elder Research provides a supportive work environment with established parental, bereavement, and PTO policies. By prioritizing a healthy work-life balance - with reasonable hours, solid pay, low travel, and extremely flexible time off - Elder Research enables and encourages its employees to serve others and enjoy their lives. Elder Research, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. Elder Research is a government contractor, and many of our positions require U.S. citizenship. This position specifically requires an active Secret Clearance.

Data Analyst On-site Location: Springfield, VA | On-Site Clearance: TS/SCI with ability to successfully complete a CI-Polygraph examination Elder Research Inc. is a recognized leader in data science, machine learning and AI. We pride ourselves in our ability to find creative, cutting-edge solutions to real-world problems. We are looking for innovative and inquisitive self-starters who enjoy understanding a problem space and building fast, efficient, and tractable data infrastructure to deliver real value for our clients. As a Data Analyst, you will support robust and repeatable data manipulation and stunning data visualization for custom client applications. Essential Functions: Ability to work on-site for 36-40 hours during a typical week Experience supporting the geospatial intelligence mission space At least 6 years of relevant experience  Relevant experience includes military service, education (Associates), specialized training, internships, apprenticeships, and professional civilian work experience. Credit is also provided for relevant professional publications, presentations, and leadership roles in related organizations. Roles and Responsibilities: Excellent organizational skills and attention to detail Able to multitask, prioritize, and manage time Problem-solving aptitude Ability and the willingness to tailor applications to a client's business goals using an iterative methodology Communicate clearly both verbally and in writing to teammates and clients Data fluency including data manipulation, data understanding and the ability to identify issues with data. Primarily focused on task execution (rather than task definition) Often focuses on data manipulation and understanding Contributes to technical tasks and proactively looks for growth and learning opportunities Starts developing experience using one or more tools, platforms, algorithms, and languages Desired Skills: Demonstrate familiarity with data transformation (ETL) - aggregations, transformations, loading (academic or brief experience). Exposure to data wrangling, dashboards and visualization of large datasets using commercial or open-source tools Interacted with SQL or NoSQL databases via a programming language such as R, Python, Java, JavaScript Understanding of databases and database designs Perform other technical tasks as needed, including writing project reports, managing, implementing, and/or maintaining technical infrastructure, etc. Familiarity with data analytics/data science methods and tools - exploratory data analysis, text analytics, Natural Language Processing (academic or brief experience). Interacted with Python, R, SQL, Git, AWS Sagemaker, or SAS. About Elder Research, Inc. Elder Research is a growing consulting firm specializing in data (analytics, data science, AI and machine learning), and related strategy and training. Our organization has over 25 years of experience and 100 practitioners that have partnered with hundreds of organizations to achieve significant value through innovative applications of data, analytics, and people-centered processes. We are tackling hard problems, big and small, where off-the-shelf solutions don't work or don't exist. To achieve success, we value humble, hardworking teammates with the ability to be flexible, think critically and experiment. At Elder Research, you'll be part of a fun, friendly, and supportive community where we need each other to succeed, your point of view matters, and asking questions with a beginner's mindset is applauded. In keeping with our entrepreneurial spirit, we want candidates that are self-motivated with an innate curiosity and strong team work ethic. We are constantly learning and offer teammates free access to a wide range of learning opportunities including Elder's own platform statistics.com and technical mentors or sponsors. Broadening and deepening your technical and consulting skills both on the job and off is something we are passionate about, and we pay you to do it. To achieve success on defense, intelligence, and security work we frequently bring together the expertise of decision-makers, analysts, agents, investigators, and even behavioral scientists. Our team enjoys great variety in the type of work they do and exposure to a wide range of analytic techniques and tools. Elder Research, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

Career Opportunities with Elder Research
A great place to work.
Careers At Elder Research
Current job opportunities are posted here as they become available.
Elder Research Inc. is a Data Science consulting firm specialized in providing analytic solutions to clients in Commercial and Government industries. Providing analytic solutions to hundreds of companies across numerous industries, our team enjoys a great variety in the type of work they do and exposure to a wide range of techniques and tools.
We are trusted advisors to our clients, building lasting relationships and partnering as preferred analytics providers. We use a variety of programming languages and tools to create analytic solutions, often fitting within our clients’ environment and needs.
Join our team and find great opportunities to hone your analytic skills, work on complex problems with amazing teammates, and gain valuable analytics consulting experience.
Summary of Position:
You will join a skilled team applying cutting edge research in a complex and evolving data environment, develop code to perform complex modeling to detect and characterize objects (using python, tensorflow, pytorch and related software packages) and enhance an evolving analytic tradecraft. You will integrate data from a variety of sources, formats and disciplines into coherent databases, train foundation models to advance the Intelligence Community, fine-tune models to address real intelligence questions, and write compelling documentation and reports for decision makers.
This position will be part of our Defense and Intelligence Team serving the Intelligence Community as our primary customer.
Essential Functions:
Conceptual, quantitative, organizational, research, writing, verbal communication and graphical representation skills.
Sound judgment and creative problem solving and independent working skills.
Sound interpersonal and teamwork skills to work with individuals and organizations, to include varying levels and types (Government, industry, and academia).
Facilitation skills to bring diverse groups together on issues and reach consensus across stakeholders.
The ability to perform complex analyses and to communicate its results using accurate, concise, and effective writing and through descriptive and graphical representations.
Technical understanding of the systems supporting aspects of the functional areas.
Knowledge of standard tools [e.g., the Sponsor’s various computing networks, Microsoft Office Products], as appropriate; and a demonstrated ability to learn to use and support other tools that may be added or developed as the program evolves.
Flexibility in assisting with ad hoc tasks and in adjusting as tasks are re-prioritized.
Job Specifications/Requirements:
Active TS/SCI security clearance with the required Polygraph.
Bachelor’s degree in a technical field (computer science, mathematics, statistics, etc.) with 3 years of relevant experience.
Data Science experience.
Python and/or R.
Desired Skills:
Prior experience with Pytorch, keras and overhead imagery would be beneficial but not a requirement.
Master’s degree in a technical field (computer science, mathematics, statistics etc) with 1 year of relevant experience.
Bachelor’s degree in a technical field (computer science, mathematics, statistics etc).
About Elder Research, Inc
Elder Research is a fast growing consulting firm specializing in predictive analytics. Being in the data mining business almost 30 years, we pride ourselves in our ability to find creative, cutting edge solutions to real-world problems. We work hard to provide the best value to our clients and allow each person to contribute their ideas and put their skills to use immediately.
Our team members are passionate, curious, life-long learners. We value humility, servant-leadership, teamwork, and integrity. We seek to serve our clients and our teammates to the best of our abilities. In keeping with our entrepreneurial spirit, we want candidates who are self-motivated with an innate curiosity and strong team work.
Elder Research believes in continuous learning and community - each week the entire company attends a “Tech Talk” and each office location provides lunch. Elder Research provides a supportive work environment with established parental, bereavement, and PTO policies. By prioritizing a healthy work-life balance - with reasonable hours, solid pay, low travel, and extremely flexible time off - Elder Research enables and encourages its employees to serve others and enjoy their lives.
Elder Research, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
Elder Research is a Government contractor and many of our positions require US Citizenship.

#J-18808-Ljbffr

Elder Research Interview Questions

Elder Research Interview Guides

Elder Research Interview Questions

Elder Research Salaries by Position

Elder Research Opening Jobs