The Data Society Business Intelligence interview guide, interview questions, salary data, and interview experiences.

Data Society Business Intelligence Interview Guide

<p>Getting ready for an Business Intelligence interview at Data Society? The Data Society Business Intelligence interview span across 10 to 12 different question topics. In preparing for the interview:</p>
<ul>
<li>Know what skills are necessary for Data Society Business Intelligence roles.</li>
<li>Gain insights into the Business Intelligence interview process at Data Society.</li>
<li>Practice real Data Society Business Intelligence interview questions.</li>
</ul>
<p>Interview Query regularly analyzes interview experience data, and we've used that data to produce this guide, with sample interview questions and an overview of the Data Society Business Intelligence interview.</p>


Getting ready for an Business Intelligence interview at Data Society? The Data Society Business Intelligence interview span across 10 to 12 different question topics. In preparing for the interview:

- Know what skills are necessary for Data Society Business Intelligence roles.
- Gain insights into the Business Intelligence interview process at Data Society.
- Practice real Data Society Business Intelligence interview questions.

Interview Query regularly analyzes interview experience data, and we've used that data to produce this guide, with sample interview questions and an overview of the Data Society Business Intelligence interview.
        

Overview

Data Society Business Intelligence Salary

<p>We've gathered this data from parsing thousands of interview experiences sourced from members.</p>

We've gathered this data from parsing thousands of interview experiences sourced from members.

Data Society Business Intelligence Interview Process

<p>We’re given a table of bank transactions with three columns, <code>user_id</code>, a deposit or withdrawal value (determined if the value is positive or negative), and <code>created_at</code> time for each transaction.</p>

<p>Write a query to get the total three-day rolling average for deposits by day.</p>

<p><em>Note: Please use the format <code>&#39;%Y-%m-%d&#39;</code> for the date in the outout</em></p>

<p><strong>Example:</strong></p>

<p><strong>Input:</strong></p>

<p><code>bank_transactions</code> table</p>

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td><code>user_id</code></td>
<td>INTEGER</td>
</tr>

<tr>
<td><code>created_at</code></td>
<td>DATETIME</td>
</tr>

<tr>
<td><code>transaction_value</code></td>
<td>FLOAT</td>
</tr>
</tbody>
</table>
<p><strong>Output:</strong></p>

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td><code>dt</code></td>
<td>VARCHAR</td>
</tr>

<tr>
<td><code>rolling_three_day</code></td>
<td>FLOAT</td>
</tr>
</tbody>
</table>


Rolling Bank Transactions

<p>Write a query to identify customers who placed more than three transactions each in both 2019 and 2020.</p>

<p><strong>Example:</strong></p>

<p><strong>Input:</strong></p>

<p><code>transactions</code> table</p>

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td><code>id</code></td>
<td>INTEGER</td>
</tr>

<tr>
<td><code>user_id</code></td>
<td>INTEGER</td>
</tr>

<tr>
<td><code>created_at</code></td>
<td>DATETIME</td>
</tr>

<tr>
<td><code>product_id</code></td>
<td>INTEGER</td>
</tr>

<tr>
<td><code>quantity</code></td>
<td>INTEGER</td>
</tr>
</tbody>
</table>
<p><code>users</code> table</p>

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td><code>id</code></td>
<td>INTEGER</td>
</tr>

<tr>
<td><code>name</code></td>
<td>VARCHAR</td>
</tr>
</tbody>
</table>
<p> 
<strong>Output:</strong></p>

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td><code>customer_name</code></td>
<td>VARCHAR</td>
</tr>
</tbody>
</table>


<p>Which of the following queries will return a list of customers and the total amount they have spent on orders?</p>


Which of the following queries will return a list of customers and the total amount they have spent on orders?

Customer Orders

<p>Suppose your company needs to cut costs due to an economic downturn. During a coffee break, you hear a rumor that a lot of money goes to employees who don’t do their work, and you decide to find out if the rumor is true.</p>

<p>Given two tables: <code>employees</code> and <code>projects</code>, find the sum of the salaries of all the employees who didn’t complete any of their projects.</p>

<p>Clarification:</p>

<p>We will consider a project unfinished if it has no end date (its <code>End_dt</code> is <code>NULL</code>).</p>

<p>Given this, we’ll say an employee didn’t finish any of their projects when:</p>

<ul>
<li>They were assigned at least one project.</li>
<li>None of their projects have an <code>End_dt</code>.</li>
</ul>

<p><strong>Example:</strong></p>

<p><strong>Input:</strong></p>

<p><code>employees</code> table</p>

<table>
<thead>
<tr>
<th>id</th>
<th>salary</th>
</tr>
</thead>

<tbody>
<tr>
<td>INTEGER</td>
<td>FLOAT</td>
</tr>
</tbody>
</table>
<p><code>projects</code> table</p>

<table>
<thead>
<tr>
<th>employee_id</th>
<th>project_id</th>
<th>Start_dt</th>
<th>End_dt</th>
</tr>
</thead>

<tbody>
<tr>
<td>INTEGER</td>
<td>INTEGER</td>
<td>DATETIME</td>
<td>DATETIME</td>
</tr>
</tbody>
</table>
<p><strong>Output:</strong></p>

<table>
<thead>
<tr>
<th>total_slack_salary</th>
</tr>
</thead>

<tbody>
<tr>
<td>INTEGER</td>
</tr>
</tbody>
</table>


Find the total salary of slacking employees.

Slacking Employees Salaries

Data Society Business Intelligence Interview Questions

<p>About Data Society Group
At Data Society Group (DSG), we provide the highest quality, leading-edge industry-tailored data and AI training and solutions for Fortune 1,000 companies and federal, state, and local government organizations. We partner with our clients to educate and equip workforces with the skills they need to achieve their goals and expand their impact. By closing the data skills gap and fostering a culture of data fluency, we enable enterprises to achieve better business outcomes and shape the next generation of data and AI-powered workforces.

So far, DSG is comprised of three organizations:
Data Society : Delivering customized data science training and bespoke AI solutions recognized by Inc. 5000 as a Fastest Growing Company for three consecutive years.
The Data Lodge : A vibrant peer community and certification hub which guides organizations to become more data literate, fostering collaboration, inspiration, and expertise.
CDO Magazine: The premier global digital publication and events company, providing insights and thought leadership for Chief Data Officers and other data leaders from more than 100 countries.
From building foundational data literacy for employees to training data scientists on complex AI and machine learning solutions, DSG is empowering the workforces of the future. Our executive boards include industry leaders, engineers, and data scientists from around the globe, uniting to shape the future of data fluency and AI adoption.

About the Role
As the Lead Software Engineer on our Products team, you’ll play a key role in building diverse and impactful tools to support our mission. Projects will include developing an AI-based chatbot that acts as a teaching assistant, answering learner questions during and between sessions and helping instructors personalize their content, or creating AI tools for CDO Magazine to summarize and restructure interviews with data leaders into actionable best practices. You’ll collaborate with the Head of Product to identify and execute on new projects that enhance our offerings and address both internal and client needs, ensuring DSG continues to lead in data and AI innovation.

Role Overview
Hands-on Architect and Developer
Design, build, test, and release key AI-powered services and products focused around learning systems and data platforms.
Implement durable, secure software solutions that will solve critical customer problems in a fast-paced environment
Collaborate and Communicate
Work directly with the product team to understand requirements, evaluate trade-offs, and deliver practical, innovative solutions (with a mix of onshore and offshore resources).
Deeply understand the business model to accelerate outcomes and deliver value by collaborating within and across teams.
Lead by Practice and Example
Contribute to standards, patterns, and best practices that improve engineering capabilities in performance, security, scalability, operational excellence, and cost management.
Provide perspective on leading industry trends, recommendations on new and emerging technologies, technology prototypes, patent proposals, etc..
Practice and evangelize continuous learning, experimenting, and applying cutting-edge technology and software paradigms to solve customer problems

Ideal Background
8+ years of experience developing systems/software for complex distributed systems, management products, or business applications. Your work and past projects has likely given you expertise and experience in at least two of these: Large-scale microservices and distributed systems
Cloud computing and storage systems
Information Retrieval/Search Systems
Machine learning for Search and/or Recommender systems

You must have Full-stack development experience in: Back-end technologies like Python (ideally), Java, Typescript, Spring, NodeJS/Bun
Front-end technologies like React, Angular, SwiftUI (iOS), Kotlin (Android)
While your primary expertise lies in the back-end, you’ll also guide front-end decisions. We don’t expect you to be a front-end expert—there’s support and time to explore the right tools—but you’ll need enough familiarity to integrate and deliver a cohesive product experience.

Full-cycle development experience . You have planned and architected holistic solutions, and have experience of bringing products zero to one.
Experience with AI infrastructure and applications. Strong working knowledge and experience applying AI to an existing application or building AI native applications (including ability to articulate value/limitations, use evaluation tools to measure accuracy, and train/tune models).
Experience with AI technologies (this might be Large Language Models, Prompt Engineering, DialogFlow, SageMaker, Google Vertex AI, LangChain)

BS/MS in a technical field such as Computer Science or equivalent years of experience.
Authorized to work in the US and resides within the continental United States.

Ideal Skillset
Team player well-respected for strong analytical and problem-solving skills.
Ability to work effectively in a fast-paced, complex technical environment.
Excellent communication skills. Communicates clearly, succinctly, and persuasively to all levels of employees, customers, and management (including executives).
"Self-starter" attitude and the ability to make decisions independently.
Flexible and resilient.
Travel 3-4 times per year to company in-person events.

Your first 30/60/90 days
First 30 Days: You’ll build relationships across teams, immerse yourself in our products and data, and familiarize yourself with the tech stack(s) we use, possible alternatives and the competitive landscape. By the end of this period, coding will be well underway as you build a clear understanding of our challenges and opportunities.
First 60 Days: If all goes well, you will have released one or more iterations to the code by now. Additionally, you’ll have prioritized which tools and products to build, secured buy-in from key stakeholders and leaders, and researched the best technologies and stack to bring larger backlog ideas to life.
First 90 Days: You’ll be up to speed on both the in flight projects and the strategic product roadmap by now. In partnership with product leadership, you’ll have outlined product goals, mapped their business value, and developed a roadmap in partnership with stakeholders.
We move with careful urgency and believe our products can change the world. Join us!
#J-18808-Ljbffr</p>

<p><strong>About Data Society Group</strong><br>At Data Society Group (DSG), we provide the highest quality, leading-edge industry-tailored data and AI training and solutions for Fortune 1,000 companies and federal, state, and local government organizations. We partner with our clients to educate and equip workforces with the skills they need to achieve their goals and expand their impact. By closing the data skills gap and fostering a culture of data fluency, we enable enterprises to achieve better business outcomes and shape the next generation of data and AI-powered workforces.<br><br>So far, DSG is comprised of three organizations:</p><ul><li><strong>Data Society</strong>: Delivering customized data science training and bespoke AI solutions recognized by Inc. 5000 as a Fastest Growing Company for three consecutive years.</li><li><strong>The Data Lodge</strong>: A vibrant peer community and certification hub which guides organizations to become more data literate, fostering collaboration, inspiration, and expertise.</li><li><strong>CDO Magazine:</strong> The premier global digital publication and events company, providing insights and thought leadership for Chief Data Officers and other data leaders from more than 100 countries.</li></ul><p>From building foundational data literacy for employees to training data scientists on complex AI and machine learning solutions, DSG is empowering the workforces of the future. Our executive boards include industry leaders, engineers, and data scientists from around the globe, uniting to shape the future of data fluency and AI adoption.</p><p><br><strong>About the Role</strong><br>As the <strong>Lead Software Engineer </strong>on our Products team, you’ll play a key role in building diverse and impactful tools to support our mission. Projects will include developing an<strong> AI-based chatbot</strong> that acts as a teaching assistant, answering learner questions during and between sessions and helping instructors personalize their content, or <strong>creating AI tools</strong> for CDO Magazine to summarize and restructure interviews with data leaders into actionable best practices. You’ll collaborate with the Head of Product to identify and execute on new projects that enhance our offerings and address both internal and client needs, ensuring DSG continues to lead in data and AI innovation.</p><p><br><strong>Role Overview</strong><br><em>Hands-on Architect and Developer</em></p><ul><li>Design, build, test, and release key AI-powered services and products focused around learning systems and data platforms.</li><li>Implement durable, secure software solutions that will solve critical customer problems in a fast-paced environment</li></ul><p><em>Collaborate and Communicate</em></p><ul><li>Work directly with the product team to understand requirements, evaluate trade-offs, and deliver practical, innovative solutions (with a mix of onshore and offshore resources).</li><li>Deeply understand the business model to accelerate outcomes and deliver value by collaborating within and across teams.</li></ul><p><em>Lead by Practice and Example</em></p><ul><li>Contribute to standards, patterns, and best practices that improve engineering capabilities in performance, security, scalability, operational excellence, and cost management.</li><li>Provide perspective on leading industry trends, recommendations on new and emerging technologies, technology prototypes, patent proposals, etc..</li><li>Practice and evangelize continuous learning, experimenting, and applying cutting-edge technology and software paradigms to solve customer problems</li></ul><p><br><strong>Ideal Background</strong></p><ul><li>8+ years of experience developing systems/software for complex distributed systems, management products, or business applications. Your work and past projects has likely given you expertise and experience in at least two of these:<ul><li>Large-scale microservices and distributed systems</li><li>Cloud computing and storage systems</li><li>Information Retrieval/Search Systems</li><li>Machine learning for Search and/or Recommender systems</li></ul></li><li>You must have <strong>Full-stack </strong>development experience in:<ul><li>Back-end technologies like Python (ideally), Java, Typescript, Spring, NodeJS/Bun</li><li>Front-end technologies like React, Angular, SwiftUI (iOS), Kotlin (Android)</li><li>While your primary expertise lies in the back-end, you’ll also guide front-end decisions. We don’t expect you to be a front-end expert—there’s support and time to explore the right tools—but you’ll need enough familiarity to integrate and deliver a cohesive product experience.</li></ul></li><li><strong>Full-cycle development experience</strong>. You have planned and architected holistic solutions, and have experience of bringing products zero to one.</li><li>Experience with <strong>AI infrastructure</strong> and applications.<ul><li>Strong working knowledge and experience applying AI to an existing application or building AI native applications (including ability to articulate value/limitations, use evaluation tools to measure accuracy, and train/tune models).</li><li>Experience with AI technologies (this might be Large Language Models, Prompt Engineering, DialogFlow, SageMaker, Google Vertex AI, LangChain)</li></ul></li><li>BS/MS in a technical field such as Computer Science or equivalent years of experience.</li><li>Authorized to work in the US and resides within the continental United States.</li></ul><p><br><strong>Ideal Skillset</strong></p><ul><li>Team player well-respected for strong analytical and problem-solving skills.</li><li>Ability to work effectively in a fast-paced, complex technical environment.</li><li>Excellent communication skills. Communicates clearly, succinctly, and persuasively to all levels of employees, customers, and management (including executives).</li><li>"Self-starter" attitude and the ability to make decisions independently.</li><li>Flexible and resilient.</li><li>Travel 3-4 times per year to company in-person events.</li></ul><p><br><strong>Your first 30/60/90 days</strong></p><ul><li>First 30 Days: You’ll build relationships across teams, immerse yourself in our products and data, and familiarize yourself with the tech stack(s) we use, possible alternatives and the competitive landscape. By the end of this period, coding will be well underway as you build a clear understanding of our challenges and opportunities.</li><li>First 60 Days: If all goes well, you will have released one or more iterations to the code by now. Additionally, you’ll have prioritized which tools and products to build, secured buy-in from key stakeholders and leaders, and researched the best technologies and stack to bring larger backlog ideas to life.</li><li>First 90 Days: You’ll be up to speed on both the in flight projects and the strategic product roadmap by now. In partnership with product leadership, you’ll have outlined product goals, mapped their business value, and developed a roadmap in partnership with stakeholders.</li></ul><div>We move with careful urgency and believe our products can change the world. Join us!</div>
#J-18808-Ljbffr

About Data Society Group
At Data Society Group (DSG), we provide the highest quality, leading-edge industry-tailored data and AI training and solutions for Fortune 1,000 companies and federal, state, and local government organizations. We partner with our clients to educate and equip workforces with the skills they need to achieve their goals and expand their impact. By closing the data skills gap and fostering a culture of data fluency, we enable enterprises to achieve better business outcomes and shape the next generation of data and AI-powered workforces.

So far, DSG is comprised of three organizations:
Data Society : Delivering customized data science training and bespoke AI solutions recognized by Inc. 5000 as a Fastest Growing Company for three consecutive years.
The Data Lodge : A vibrant peer community and certification hub which guides organizations to become more data literate, fostering collaboration, inspiration, and expertise.
CDO Magazine:  The premier global digital publication and events company, providing insights and thought leadership for Chief Data Officers and other data leaders from more than 100 countries.
From building foundational data literacy for employees to training data scientists on complex AI and machine learning solutions, DSG is empowering the workforces of the future. Our executive boards include industry leaders, engineers, and data scientists from around the globe, uniting to shape the future of data fluency and AI adoption.

About the Role
As the  Lead Software Engineer  on our Products team, you’ll play a key role in building diverse and impactful tools to support our mission. Projects will include developing an  AI-based chatbot  that acts as a teaching assistant, answering learner questions during and between sessions and helping instructors personalize their content, or  creating AI tools  for CDO Magazine to summarize and restructure interviews with data leaders into actionable best practices. You’ll collaborate with the Head of Product to identify and execute on new projects that enhance our offerings and address both internal and client needs, ensuring DSG continues to lead in data and AI innovation.

Role Overview
Hands-on Architect and Developer
Design, build, test, and release key AI-powered services and products focused around learning systems and data platforms.
Implement durable, secure software solutions that will solve critical customer problems in a fast-paced environment
Collaborate and Communicate
Work directly with the product team to understand requirements, evaluate trade-offs, and deliver practical, innovative solutions (with a mix of onshore and offshore resources).
Deeply understand the business model to accelerate outcomes and deliver value by collaborating within and across teams.
Lead by Practice and Example
Contribute to standards, patterns, and best practices that improve engineering capabilities in performance, security, scalability, operational excellence, and cost management.
Provide perspective on leading industry trends, recommendations on new and emerging technologies, technology prototypes, patent proposals, etc..
Practice and evangelize continuous learning, experimenting, and applying cutting-edge technology and software paradigms to solve customer problems

Ideal Background
8+ years of experience developing systems/software for complex distributed systems, management products, or business applications. Your work and past projects has likely given you expertise and experience in at least two of these:   Large-scale microservices and distributed systems
Cloud computing and storage systems
Information Retrieval/Search Systems
Machine learning for Search and/or Recommender systems

You must have  Full-stack  development experience in:   Back-end technologies like Python (ideally), Java, Typescript, Spring, NodeJS/Bun
Front-end technologies like React, Angular, SwiftUI (iOS), Kotlin (Android)
While your primary expertise lies in the back-end, you’ll also guide front-end decisions. We don’t expect you to be a front-end expert—there’s support and time to explore the right tools—but you’ll need enough familiarity to integrate and deliver a cohesive product experience.

Full-cycle development experience . You have planned and architected holistic solutions, and have experience of bringing products zero to one.
Experience with  AI infrastructure  and applications.   Strong working knowledge and experience applying AI to an existing application or building AI native applications (including ability to articulate value/limitations, use evaluation tools to measure accuracy, and train/tune models).
Experience with AI technologies (this might be Large Language Models, Prompt Engineering, DialogFlow, SageMaker, Google Vertex AI, LangChain)

BS/MS in a technical field such as Computer Science or equivalent years of experience.
Authorized to work in the US and resides within the continental United States.

Ideal Skillset
Team player well-respected for strong analytical and problem-solving skills.
Ability to work effectively in a fast-paced, complex technical environment.
Excellent communication skills. Communicates clearly, succinctly, and persuasively to all levels of employees, customers, and management (including executives).
"Self-starter" attitude and the ability to make decisions independently.
Flexible and resilient.
Travel 3-4 times per year to company in-person events.

Your first 30/60/90 days
First 30 Days: You’ll build relationships across teams, immerse yourself in our products and data, and familiarize yourself with the tech stack(s) we use, possible alternatives and the competitive landscape. By the end of this period, coding will be well underway as you build a clear understanding of our challenges and opportunities.
First 60 Days: If all goes well, you will have released one or more iterations to the code by now. Additionally, you’ll have prioritized which tools and products to build, secured buy-in from key stakeholders and leaders, and researched the best technologies and stack to bring larger backlog ideas to life.
First 90 Days: You’ll be up to speed on both the in flight projects and the strategic product roadmap by now. In partnership with product leadership, you’ll have outlined product goals, mapped their business value, and developed a roadmap in partnership with stakeholders.
We move with careful urgency and believe our products can change the world. Join us!

We Are:
At Data Society, we provide bespoke, leading-edge data and AI solutions for Fortune 1,000 companies and federal, state, and local governmental organizations. We partner with our clients to educate, equip, and empower their workforces with the skills they need to achieve their goals and expand their impact. We are empowering the workforces of the future, from data literacy for all employees to support for data engineers and data scientists to train up on the most complex AI solutions and Machine Learning skills.

The Role:
The Data Scientist is responsible for combining their expert knowledge in statistical analysis, data mining, data engineering, and artificial intelligence to build complex end-to-end business analytics, artificial intelligence, and IT solutions. This is a customer-facing role within a cross-functional team so the ability to manage timelines, work both autonomously and collaboratively, and communicate effectively are a must. As this position will help to support federal contracts with security requirements, you must be a US Citizen to qualify.

Responsibilities:     Ability to build a full data pipeline from data ingestion to processing/transformation to load to visualization and analysis.
Strong working experience with descriptive and predictive data mining tasks as well as key algorithms including ML and NLP-based learning techniques.
Understand and develop quantitative simulations and models as part of larger decision systems.
Develop and build modern AI-based applications using LLMs, RAG, and modern cloud tools.
Identify and incorporate new data sources into centralized, interoperable data stores via a variety of techniques including web scraping, APIs, secure file transfer, etc.
Perform sentiment analysis, topic modeling, and text classification to understand opinions, identify trends, and extract key themes.
Identify and present insights, trends, and problems through complex big data analysis to both technical and non-technical audiences.
Create clear and compelling visualizations to communicate data-driven insights to stakeholders.

Skills you bring:     Advanced Degree in Statistics, Applied Mathematics, Data Science, Computer Science, Operations Research or other closely related quantitative or mathematical disciplines.
5+ years of relevant data science and analytics experience.
Expertise with SQL, R and Python, and other scripting and statistical programming languages.
Experience with use of large cross-sectional and time series data, with a strong foundation in statistical concepts.
Proficient in analyzing textual data using the latest NLP techniques.
Experienced in building RAG powered LLM applications.
Skilled in developing and maintaining data pipelines and ETL processes for data preparation.
Proficient in leveraging AWS tools for data integration, orchestration, and machine learning development and deployment.
Familiarity with analytic tools such as PowerBI and Tableau is a plus.
Excellent communication skills with the ability to work independently and collaboratively across functions, demonstrating strong problem-solving and critical thinking abilities.
Please note this job description is not designed to cover or contain a comprehensive list of activities, duties or responsibilities that are required for this job. Duties, responsibilities, and activities may change at any time with or without notice.

This position is flexible to be remote anywhere within the USA, though preference will be given to candidates in or near the Washington, DC area. The salary range will be between $100/hr - $120/hr. The contract duration is approximately 12 months, with at least 9 months of full-time work (40 hours per week).

Affirmative Action/EEO statement
At Data Society Group, we don’t just accept differences - we celebrate them, we support it, and we thrive on it for the benefit of our employees, our products, and our community. Data Society Group is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know.

Data Society Group does not accept unsolicited resumes from third party recruiters.

#J-18808-Ljbffr

<strong>We Are:  </strong><br>At Data Society, we provide bespoke, leading-edge data and AI solutions for Fortune 1,000 companies and federal, state, and local governmental organizations. We partner with our clients to educate, equip, and empower their workforces with the skills they need to achieve their goals and expand their impact. We are empowering the workforces of the future, from data literacy for all employees to support for data engineers and data scientists to train up on the most complex AI solutions and Machine Learning skills. <br><strong>The Role: </strong><br>The Data Scientist is responsible for combining their expert knowledge in statistical analysis, data mining, data engineering, and artificial intelligence to build complex end-to-end business analytics, artificial intelligence, and IT solutions. This is a customer-facing role within a cross-functional team so the ability to manage timelines, work both autonomously and collaboratively, and communicate effectively are a must. As this position will help to support federal contracts with security requirements, you must be a US Citizen to qualify. <br><strong>Responsibilities: </strong> <ul><li>Ability to build a full data pipeline from data ingestion to processing/transformation to load to visualization and analysis.  </li><li>Strong working experience with descriptive and predictive data mining tasks as well as key algorithms including ML and NLP-based learning techniques.  </li><li>Understand and develop quantitative simulations and models as part of larger decision systems.  </li><li>Develop and build modern AI-based applications using LLMs, RAG, and modern cloud tools.  </li><li>Identify and incorporate new data sources into centralized, interoperable data stores via a variety of techniques including web scraping, APIs, secure file transfer, etc.  </li><li>Perform sentiment analysis, topic modeling, and text classification to understand opinions, identify trends, and extract key themes.  </li><li>Identify and present insights, trends, and problems through complex big data analysis to both technical and non-technical audiences.  </li><li>Create clear and compelling visualizations to communicate data-driven insights to stakeholders.  </li> </ul><br><strong>Skills you bring:  </strong><ul><li>Advanced Degree in Statistics, Applied Mathematics, Data Science, Computer Science, Operations Research or other closely related quantitative or mathematical disciplines.  </li><li>5+ years of relevant data science and analytics experience.  </li><li>Expertise with SQL, R and Python, and other scripting and statistical programming languages.  </li><li>Experience with use of large cross-sectional and time series data, with a strong foundation in statistical concepts.  </li><li>Proficient in analyzing textual data using the latest NLP techniques.  </li><li>Experienced in building RAG powered LLM applications.  </li><li>Skilled in developing and maintaining data pipelines and ETL processes for data preparation.  </li><li>Proficient in leveraging AWS tools for data integration, orchestration, and machine learning development and deployment.  </li><li>Familiarity with analytic tools such as PowerBI and Tableau is a plus.  </li><li>Excellent communication skills with the ability to work independently and collaboratively across functions, demonstrating strong problem-solving and critical thinking abilities.  </li> </ul>Please note this job description is not designed to cover or contain a comprehensive list of activities, duties or responsibilities that are required for this job. Duties, responsibilities, and activities may change at any time with or without notice. <br>This position is flexible to be remote anywhere within the USA, though preference will be given to candidates in or near the Washington, DC area. The salary range will be between $100/hr - $120/hr. The contract duration is approximately 12 months, with at least 9 months of full-time work (40 hours per week). <br><strong>Affirmative Action/EEO statement </strong> <br>At Data Society Group, we don’t just accept differences - we celebrate them, we support it, and we thrive on it for the benefit of our employees, our products, and our community. Data Society Group is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know. <br><strong>Data Society Group does not accept unsolicited resumes from third party recruiters.  </strong><br>#J-18808-Ljbffr

<p>We Are:
At Data Society, we provide bespoke, leading-edge data and AI solutions for Fortune 1,000 companies and federal, state, and local governmental organizations. We partner with our clients to educate, equip, and empower their workforces with the skills they need to achieve their goals and expand their impact. We are empowering the workforces of the future, from data literacy for all employees to support for data engineers and data scientists to train up on the most complex AI solutions and Machine Learning skills.

The Role:
The Data Scientist is responsible for combining their expert knowledge in statistical analysis, data mining, data engineering, and artificial intelligence to build complex end-to-end business analytics, artificial intelligence, and IT solutions. This is a customer-facing role within a cross-functional team so the ability to manage timelines, work both autonomously and collaboratively, and communicate effectively are a must. As this position will help to support federal contracts with security requirements, you must be a US Citizen to qualify.

Responsibilities: Ability to build a full data pipeline from data ingestion to processing/transformation to load to visualization and analysis.
Strong working experience with descriptive and predictive data mining tasks as well as key algorithms including ML and NLP-based learning techniques.
Understand and develop quantitative simulations and models as part of larger decision systems.
Develop and build modern AI-based applications using LLMs, RAG, and modern cloud tools.
Identify and incorporate new data sources into centralized, interoperable data stores via a variety of techniques including web scraping, APIs, secure file transfer, etc.
Perform sentiment analysis, topic modeling, and text classification to understand opinions, identify trends, and extract key themes.
Identify and present insights, trends, and problems through complex big data analysis to both technical and non-technical audiences.
Create clear and compelling visualizations to communicate data-driven insights to stakeholders.

Skills you bring: Advanced Degree in Statistics, Applied Mathematics, Data Science, Computer Science, Operations Research or other closely related quantitative or mathematical disciplines.
5+ years of relevant data science and analytics experience.
Expertise with SQL, R and Python, and other scripting and statistical programming languages.
Experience with use of large cross-sectional and time series data, with a strong foundation in statistical concepts.
Proficient in analyzing textual data using the latest NLP techniques.
Experienced in building RAG powered LLM applications.
Skilled in developing and maintaining data pipelines and ETL processes for data preparation.
Proficient in leveraging AWS tools for data integration, orchestration, and machine learning development and deployment.
Familiarity with analytic tools such as PowerBI and Tableau is a plus.
Excellent communication skills with the ability to work independently and collaboratively across functions, demonstrating strong problem-solving and critical thinking abilities.
Please note this job description is not designed to cover or contain a comprehensive list of activities, duties or responsibilities that are required for this job. Duties, responsibilities, and activities may change at any time with or without notice.

This position is flexible to be remote anywhere within the USA, though preference will be given to candidates in or near the Washington, DC area. The salary range will be between $100/hr - $120/hr. The contract duration is approximately 12 months, with at least 9 months of full-time work (40 hours per week).

Affirmative Action/EEO statement
At Data Society Group, we don’t just accept differences - we celebrate them, we support it, and we thrive on it for the benefit of our employees, our products, and our community. Data Society Group is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know.

Data Society Group does not accept unsolicited resumes from third party recruiters.

#J-18808-Ljbffr</p>

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