math tutor - small group tutoring Jobs in Washington

math tutor - small group tutoring

ai training, mathematics Jobs in Washington

ai training, mathematics

instructor stem (mathematics/science) Jobs in Washington

instructor stem (mathematics/science)

math & stats lab tutor (student) Jobs in Washington

math & stats lab tutor (student)

quality assurance engineer - ai trainer Jobs in Washington

quality assurance engineer - ai trainer

ai training mathematics

DataAnnotation

<div>
 We are looking for an advanced mathematician to join our team to train AI models. You will measure the progress of these AI chatbots, evaluate their logic, and solve problems to improve the quality of each model.
 <br/>
 <br/>
 In this role you will need to hold an expert level of mathematical reasoning. Other related fields include, but are not limited to: Applied Mathematics and/or Computer Science.
 <br/>
 <br/>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   This is a full-time or part-time REMOTE position
  </li>
  <li>
   You&rsquo;ll be able to choose which projects you want to work on
  </li>
  <li>
   You can work on your own schedule
  </li>
  <li>
   Projects are paid hourly starting at $40+ USD per hour, with bonuses on high-quality and high-volume work
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Give AI chatbots writing and editing tasks and evaluate their outputs
  </li>
  <li>
   Evaluate the quality produced by AI models for correctness and performance
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Fluency in English (native or bilingual level)
  </li>
  <li>
   Detail-oriented
  </li>
  <li>
   Proficient in arithmetic, algebra, geometry, calculus, probability, statistics, and inductive/deductive reasoning
  </li>
  <li>
   A current, in progress, or completed Master&rsquo;s or PhD is preferred but not required
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Notes
  <br/>
  <br/>
 </strong>
 Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. Only applicants in the United States will be considered for this role. This is an independent contract position.
 <br/>
 <br/>
 #math
</div>


AI Training, Mathematics

C4ADS

<div><h1 class="jobSectionHeader"><b>Data Scientist</b></h1>
<h2 class="jobSectionHeader"><b>Position Summary</b></h2>
<p>
The Data Scientist will research, design, and evaluate AI and machine learning solutions that advance C4ADS's investigative mission. This role is centered on applied research and experimentation, with a focus on designing and testing LLM-based workflows, building retrieval and agentic pipelines, and translating complex analytical needs into working tools that investigators and analysts can actually use.</p>
<p>
The ideal candidate combines strong technical depth in NLP and generative AI paired with genuine familiarity with global security, illicit networks, or open-source research. This person should be equally comfortable experimenting with emerging technologies, translating complex analytical needs into workable technical solutions, and communicating limitations and tradeoffs clearly to non-technical audiences.</p>
<h2 class="jobSectionHeader"><b>
Core Responsibilities</b></h2>
<h3 class="jobSectionHeader"><b>AI Research &amp; Experimentation</b></h3>
<ul><li>Research, prototype, and evaluate LLM-based approaches to investigative data challenges</li>
<li>Design and test RAG (retrieval-augmented generation) pipelines for document-heavy research workflows</li>
<li>Develop and maintain MCP-based agentic tooling that supports analyst workflows</li>
<li>Conduct prompt engineering and model evaluation to assess output quality, reliability, and limitations</li>
<li>Stay current with developments in generative AI, NLP, and vector-based retrieval and bring relevant advances into organizational practice</li>
</ul><h3 class="jobSectionHeader"><b>Applied NLP &amp; ML</b></h3>
<ul><li>Apply advanced NLP techniques to multilingual, unstructured text data including entity extraction, classification, clustering, and semantic search</li>
<li>Work with vector embeddings and embedding models to support similarity search and knowledge retrieval</li>
<li>Evaluate and select appropriate models and frameworks for specific research tasks, balancing performance, cost, and interpretability</li>
<li>Maintain awareness of ML fundamentals and apply sound experimental design when testing approaches</li>
</ul><h3 class="jobSectionHeader"><b>Analyst &amp; Investigator Support</b></h3>
<ul><li>Partner closely with research and program teams to understand investigative data needs</li>
<li>Translate complex analytical requirements into tractable ML or AI problem framings</li>
<li>Build and document tools and workflows that empower non-technical investigators to work with AI outputs effectively</li>
<li>Communicate model limitations, uncertainty, and appropriate use clearly to non-technical stakeholders</li>
</ul><h3 class="jobSectionHeader"><b>Data Visualization &amp; Communication</b></h3>
<ul><li>Develop clear visualizations and summaries that communicate analytical findings to internal and external audiences</li>
<li>Contribute to written outputs including technical documentation, research memos, and methodology notes</li>
<li>Present findings and methodologies to program teams and organizational leadership</li>
</ul><h3 class="jobSectionHeader"><b>External Engagement</b></h3>
<ul><li>Participate in technical demos and engagements with external partners and clients</li>
<li>Advise external stakeholders on AI-assisted research approaches and appropriate use of generative AI tools</li>
<li>Represent C4ADS's technical capabilities in partnership and grant contexts where relevant</li>
</ul><h2 class="jobSectionHeader"><b>Required Qualifications</b></h2>
<h3 class="jobSectionHeader"><b>Skills &amp; Experience</b></h3>
<ul><li>2-4 years of experience in data science, applied ML, or NLP research (professional, academic, or a strong combination)</li>
<li>Strong understanding of NLP fundamentals and generative AI concepts including transformers, embeddings, RAG, and prompt engineering</li>
<li>Proficiency in Python for data processing, modeling, and pipeline development</li>
<li>Working knowledge of SQL and relational data</li>
<li>Hands-on experience with LLM application frameworks such as LangChain, LlamaIndex, or similar</li>
<li>Experience working with vector databases or embedding-based retrieval (Pinecone, Weaviate, pgvector, or similar)</li>
<li>Familiarity with AWS cloud services for storing and processing data</li>
<li>Experience working with government datasets, legal documents, or public records is a plus</li>
<li>Proficiency with Git and collaborative development practices</li>
</ul><h3 class="jobSectionHeader"><b>Domain Knowledge</b></h3>
<ul><li>Background in international affairs, global security, conflict, sanctions, or illicit finance through coursework, research, or professional experience in the public sector, journalism, or other similar investigative and research fields.</li>
<li>Familiarity with OSINT methods or open-source research practices</li>
</ul><h3 class="jobSectionHeader"><b>Education</b></h3>
<ul><li>Bachelor's or advanced degree in Data Science, Computer Science, Mathematics, Statistics, or a related technical field preferred, equivalent demonstrated experience considered</li>
</ul><h3 class="jobSectionHeader"><b>Professional Competencies</b></h3>
<ul><li>Ability to independently scope and execute research projects, including shaping deliverables in collaboration with non-technical analytical teams</li>
<li>Strong analytical rigor with comfort questioning model outputs, stress-testing assumptions, and designing evaluations that surface failure modes</li>
<li>Thoughtful approach to AI ethics and responsible use, including awareness of bias, hallucination risks, and the stakes of applying AI in sensitive investigative contexts</li>
<li>Strong written and verbal communication skills, including ability to explain technical concepts to non-technical audiences</li>
<li>Collaborative working style with comfort operating across research and technical teams</li>
<li>Intellectual curiosity and genuine interest in the organization's mission</li>
</ul><h2 class="jobSectionHeader"><b>Preferred Qualifications</b></h2>
<ul><li>Familiarity with Palantir Foundry or similar enterprise data platforms</li>
<li>Experience with graph databases or network analysis (Neo4j or similar)</li>
<li>Background in a nonprofit, policy, journalism, or national security research context</li>
<li>Experience with multilingual NLP or working across non-English language datasets</li>
</ul><h2 class="jobSectionHeader"><b>Working Conditions</b></h2>
<ul><li>Hybrid role based in Washington, DC, with a minimum of 2 in-office days per week</li>
<li>Standard business hours with occasional flexibility required based on project needs</li>
<li>Highly collaborative team environment with regular cross-functional engagement across research data, and operations teams</li>
</ul><h2 class="jobSectionHeader"><b>Compensation &amp; Benefits</b></h2>
<ul><li>Salary: $95,000</li>
<li>Benefits: Medical, Dental, and Vision insurance</li>
<li>Retirement: Voluntary 401(k) with 4% employer match</li>
<li>Time Off: Unlimited vacation and flex time, emphasizing outcomes over hours</li>
<li>Learning: $4,500 annual education stipend to grow your skills and language capabilities</li>
<li>Development: Access to customizable professional development resources</li>
<li>Culture: A mission-driven team that values hard work, creativity, and a healthy, supportive workplace</li></ul></div><p></p>

Data Scientist

Fiserv

<div><div><div><p><b>Calling all innovators - find your future at Fiserv.</b></p><p></p><p>
We're Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants and consumers to one another millions of times a day - quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we're involved. If you want to make an impact on a global scale, come make a difference at Fiserv.</p><p></p><p><b>
Job Title</b></p>
Data Science Analyst<p></p><p><b>
What does a successful Data Science Analyst do at Fiserv?</b><br>
As a Data Science Analyst in the 2026 Technology Analyst Program at Fiserv, you will apply modern data and AI techniques to power the next generation of fintech experiences. Over two structured assignments, you gain hands-on experience with Python, SQL, machine learning, and large language models while contributing to high-impact business solutions. You collaborate across product, data, and engineering teams to design, benchmark, and scale AI-driven analytics that support our clients&rsquo; needs at the speed of life. Through formal training, mentorship, and exposure to senior leaders, you accelerate your growth as a data and AI professional while helping Fiserv lead the industry as a true partner in possibility.</p><p></p><p><b>
What you will do:</b></p><ul><li>
Leverage Python and SQL to clean, transform, and synthesize high-quality datasets used to train and evaluate AI and analytics solutions.</li><li>
Build and refine LLM-powered workflows and autonomous agents using prompt engineering, Retrieval-Augmented Generation (RAG), and fine-tuning to automate complex analytical tasks.</li><li>
Design and execute experiments to benchmark model performance using LLM evaluation metrics such as accuracy, latency, and reasoning consistency.</li><li>
Develop visualizations and reports that clearly explain model behavior, &ldquo;agentic&rdquo; decision-making, and analytical findings to technical and non-technical stakeholders.</li><li>
Contribute to the lifecycle of machine learning models, from prototyping through deployment into scalable AI systems that optimize internal business processes.</li><li>
Apply statistical techniques and predictive modeling to identify trends, quantify impact, and recommend data-driven actions that support business innovation.</li></ul><p></p><p><b>
What you will need to have:</b></p><ul><li>
Recent graduate of a bachelor&rsquo;s degree completed in December 2024 or later in Computer Science, Data Science, Statistics, Mathematics, Business Analytics, Management Information Systems, or a related technology field (or equivalent military experience).</li><li>
3.0+ cumulative GPA</li><li>
Foundational experience (academic, internship, or professional) with:<ul><li>
Python for data preparation, statistical analysis, and modeling</li><li>
SQL for querying and working with relational or cloud datasets.</li></ul></li><li>
0&ndash;2 years of relevant internship, co-op, military, or professional experience.</li><li>
Authorization to work in the U.S. without the need for visa sponsorship now or in the future.</li></ul><p></p><p><b>
What would be great to have:</b></p><ul><li>
Exposure to machine learning concepts or frameworks (such as scikit-learn, TensorFlow, or PyTorch).</li><li>
Experience working with data visualization tools such as Power BI, Tableau, or similar platforms.</li><li>
Familiarity with cloud-based data or analytics environments (e.g., AWS, Azure, GCP).</li><li>
Introductory experience or coursework related to AI, large language models, or advanced analytics.</li><li>
Strong problem-solving skills with the ability to learn new tools and technologies quickly.</li><li>
Effective written and verbal communication skills.</li><li>
Ability to manage multiple priorities in a fast-paced, collaborative environment.</li><li>
Military-affiliated candidates are encouraged to apply (Veterans, Military Spouses, Guard/Reservists).</li></ul><p></p><p><b>
Perks at Work:</b></p><ul><li>
We&rsquo;re #FiservProud of our commitment to your overall well-being with a growing offering of physical, mental, emotional, and financial benefits from day one.</li><li>
Maintain a healthy work-life balance with paid holidays, generous time off policies, including Recharge &amp; Refuel time for qualifying associates, and free counseling through our EAP.</li><li>
Plan for your future with competitive salaries, the Fiserv 401(k) Savings Plan, and our Employee Stock Purchase Plan.</li><li>
Recognize and be recognized by colleagues with our Living Proof program where you can exchange points for a variety of rewards.</li><li>
Prioritize your health with a variety of medical, dental, vision, life and disability insurance options and a range of well-being resources through our Fuel Your Life program.</li><li>
Advance your career with training, development, certification, and internal mobility opportunities.</li><li>
Join Employee Resource Groups that promote our diverse and inclusive culture where associates can share perspectives, exchange ideas, and elevate careers.</li></ul><p></p><p><b>
In order to be considered, you must be legally authorized to work in the U.S. without need for visa sponsorship, now or in the future.</b></p><p></p><p><b>
Salary Range</b></p>
$60,800.00 - $91,200.00<p></p><p><i>
These pay ranges apply to employees in Massachusetts, California (excluding Sunnyvale) and District of Columbia. Pay ranges for employees in other states may differ.</i></p><p></p><p>
It is unlawful to discriminate against a prospective employee due to the individual's status as a veteran.</p><p></p>
This position is not eligible for an annual incentive opportunity and is also not eligible to earn commissions.<p></p><p>
Thank you for considering employment with Fiserv. Please:</p><p></p><ul><li>
Apply using your legal name</li><li>
Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable).</li></ul><p></p><p><b>
Our commitment to Equal Opportunity:</b></p><p>
Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, protected veteran status, or any other category protected by law.</p><p></p><p>
If you have a disability and require a reasonable accommodation in completing a job application or otherwise participating in the overall hiring process, please contact AskHR.US@fiserv.com. Please note our AskHR representatives do not have visibility to your application status. Current associates who require a workplace accommodation should refer to Fiserv&rsquo;s Disability Accommodation Policy for additional information.</p><p></p><p><b>
Note to agencies:</b></p><p>
Fiserv does not accept resume submissions from agencies outside of existing agreements. Please do not send resumes to Fiserv associates. Fiserv is not responsible for any fees associated with unsolicited resume submissions.</p><p></p><p><b>
Warning about fake job posts:</b></p><p>
Please be aware of fraudulent job postings that are not affiliated with Fiserv. Fraudulent job postings may be used by cyber criminals to target your personally identifiable information and/or to steal money or financial information. Any communications from a Fiserv representative will come from a legitimate Fiserv email address.</p></div></div></div><p></p>

Data Science Analyst

Capgemini

<div>
 <p>
  Capgemini Government Solutions (CGS) LLC is seeking a highly motivated Data Scientist to develop and deploy models and methodologies that enable pattern analysis, predictive modeling, intelligent automation, and AI/ML solutions. The successful candidate will have the opportunity to conceive and deliver innovative data science solutions to the U.S. Public Sector to help address critical national and global challenges such as health, climate change, and national security. This individual will join our Data and AI practice in the DC Metro Area. As a part of the rapidly expanding CGS Data and AI practice, the candidate will also help our clients develop, deploy, and modernize their data science products and ecosystems.
 </p>
 <p>
  At Capgemini, we are committed to our staff&rsquo;s professional development and offer a wide range of training and educational resources. In addition to our internal learning sites, we partnered with Coursera and Degreed to offer our staff the latest courses from academic institutions around the world. We provide education expense reimbursements as well as sponsor seminars, conferences, and certifications. Our practice leaders work with every team member to chart appropriate career paths and goals to ensure that we all stay innovative and transformative, which maximizes our ability to scale up our solutions, keep up with the cutting edge, and bring the art of what&rsquo;s possible to the Federal Government.
 </p>
 <p>
  <strong>
   Job Responsibilities
  </strong>
 </p>
 <p>
  As a Data Scientist you will:
 </p>
 <ul>
  <li>
   Conduct exploratory data analysis to evaluate data pipelines and construct data stores (structured, semi-structured, and unstructured) as needed to feed frameworks/models
  </li>
  <li>
   Develop custom algorithms, frameworks, and models or leverage available tools, libraries, and applications to solve complex problems
  </li>
 </ul>
 <ul>
  <li>
   Deploy data science and AI/ML solutions and develop methodologies to scale up
  </li>
  <li>
   Present and articulate findings and present solutions to clients and team members
  </li>
 </ul>
 <ul>
  <li>
   Collaborate with internal and external stakeholders to pattern analysis, predictive modeling, intelligent automation, GenAI, OCR, NLP, fraud detection, and other business cases for using data science, machine learning, and artificial intelligence
  </li>
 </ul>
 <ul>
  <li>
   Maintain knowledge of advances of data science in industry and academia
  </li>
  <li>
   Contribute to the overall growth of the Data and AI practice
  </li>
 </ul>
 <p>
  &nbsp;
 </p>
 <p>
  <strong>
   Required&nbsp;Qualifications
  </strong>
 </p>
 <ul>
  <li>
   U.S. Citizenship is required
  </li>
  <li>
   Eligible to obtain and maintain a Government Security Clearance
  </li>
  <li>
   Be at client site full time in Washington, DC
  </li>
  <li>
   Bachelor&rsquo;s degree or higher in data science, statistics, computer science, economics, mathematics, information systems, or similar field preferred
  </li>
  <li>
   Minimum of three (3) years of professional experience (relevant advanced degrees may substitute equivalent number of years) with data science, AI/ML, or deep learning delivery&nbsp;responsibilities such as:
  </li>
  <ul>
   <li>
    Designing and developing data models and algorithms for multi-objective optimization and decision making
   </li>
   <li>
    Building and deploying predictive and prescriptive analytics
   </li>
   <li>
    Conducting hypothesis testing, statistical and probability analyses
   </li>
   <li>
    Applying appropriate methods to describe statistical relationships between variables
   </li>
   <li>
    Performing multiple correspondence analysis (MCA), principal component analysis (PCA, and association rule mining
   </li>
  </ul>
  <li>
   Experience using tools such as Databricks; Azure&rsquo;s Machine Learning and AI Services; AWS&rsquo;s SageMaker and Bedrock
  </li>
  <li>
   Experience programming in languages such as Python, R, Scala, SQL, JavaScript, C/C++, and Java
  </li>
  <li>
   Experience using libraries and frameworks such as TensorFlow, PyTorch, mpi4py, Spark ML/MLlib, Jupyter, h2o, keras, or mir
  </li>
  <li>
   Experience collecting in managing large data sets in cloud-based databases, data lakes, and data warehouses such as Oracle EDW, SQL Server, or MS Access
  </li>
  <li>
   Ability to multi-task and stay flexible in a dynamic work environment
  </li>
 </ul>
 <p>
  &nbsp;
 </p>
 <p>
  <strong>
   Preferred/Nice to Have Qualifications
  </strong>
 </p>
 <ul>
  <li>
   Active Government Security clearance
  </li>
  <li>
   Experience developing algorithms for High-Performance Computing (HPC) environments using custom multi-core desktop computers and MS MPI
  </li>
  <li>
   Experience with Deep Learning methods in NLP, sentiment analysis, topic modeling, and graph theory and databases
  </li>
  <li>
   Experience working with big data distributed programming languages and ecosystems such as Hadoop, MapReduce, Pig, or Kafka
  </li>
  <li>
   Experience working in an IT project team following SDLC and DevOps methodologies
  </li>
 </ul>
 <p>
  &nbsp;
 </p>
 <strong>
  About Capgemini
 </strong>
 <p>
  Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of &amp;euro;22.1 billion.
 </p>
 Get The Future You Want | www.capgemini.com
 <strong>
  Disclaimer
 </strong>
 <p>
  All qualified applicants will be considered for employment based on their skills, and merit.
 </p>
 Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini.Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is $100k - $120k.&nbsp;This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees.Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company&rsquo;s sole discretion, consistent with the law.
 <br/>
 Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
 <br/>
 <br/>
 This employer is required to notify all applicants of their rights pursuant to federal employment laws.
 <br/>
 For further information, please review the Know Your Rights notice from the Department of Labor.
</div>


HarrisX

<b>About Us:</b><br>
This is your chance to kickstart your career at HarrisX, at HarrisX, a leading technology, market research, and consulting company that blends corporate and public opinion research to uncover what drives people, brands, and policy. We specialize in understanding the connected consumer, running some of the most comprehensive studies on technology, telecom, and media behavior globally, while also serving as one of the most accurate pollsters in recent U.S. elections.
<br><br>
Our research combines quantitative and qualitative methods, behavioral data, and social analytics to deliver actionable insights to clients ranging from Fortune 100 corporations to media organizations, advocacy groups, and policymakers. Based in Washington DC and with offices in New York, Toronto, London, Los Angeles, Australia, and Singapore, HarrisX is a member of Stagwell Global.
<br><br>
<b>Our mission is simple:</b> To connect all the dots for our clients, in what we call “Connected Intelligence.”
<br><br>
<b>Overview:</b><br>
As a Research Analyst on the Custom Research team at HarrisX, you will support end-to-end research engagements across corporate, media, and public opinion research projects. Working under the direction of a Research Manager, you will contribute to research design, build and program surveys, analyze data, and help develop client-ready deliverables.
<br><br>
This is a hands-on, execution-focused role suited for someone early in their research career who is eager to develop technical depth across quantitative and qualitative methods. You will work as part of a collaborative project team alongside Research Managers, Directors, VPs, data scientists, and research operations team, contributing to studies that inform both corporate strategy and public narratives.
<br><br>
HarrisX offers strong growth opportunities for motivated analysts who are looking to build skills quickly and take on greater responsibility over time.
<br><br>
<b>Responsibilities :</b> - Support the planning and execution of custom research projects, including timeline tracking, fieldwork coordination, and vendor management under the direction of a Research Manager. - Assist in the development of research instruments, including survey questionnaires and moderator guides, in line with established methodological standards. - Program surveys using platforms such as Decipher, Qualtrics, or ConfirmIT, and manage quality checks throughout the fieldwork process. - Clean, process, and analyze survey data using Q, SPSS, or equivalent statistical tools, applying appropriate weighting and validation techniques. - Contribute to the preparation of reports, presentations, and dashboards that translate findings into clear, actionable insights for client delivery. - Support the integration of multiple data sources, including survey, behavioral, and secondary data, as directed by senior team members. - Participate in client communications, documenting business objectives and project requirements under the guidance of a Research Manager or Director. - Collaborate cross-functionally with analysts, data scientists, and research operations colleagues across project workstreams. - Apply and develop familiarity with AI-powered tools used for survey automation, data synthesis, and content analysis as part of the team's evolving workflow. Qualifications: - You have 1–2 years of experience in custom market research, data analysis, or a related research environment. - You have academic and practical exposure to a range of research methodologies, including new product, brand, advertising, and customer satisfaction research. - You are proficient in Excel and PowerPoint, and have working knowledge of Q, SPSS, SAS, or equivalent statistical software. Experience with R, Python, or data visualization tools is a plus. - You have hands-on experience programming surveys in platforms such as Decipher, Qualtrics, or ConfirmIT. - You understand survey methodology fundamentals, including best practices for questionnaire design, statistical weighting, and data validation. - You are comfortable working with multiple data types and have a foundation in data cleaning, analysis, and visualization. - You communicate clearly in both written and verbal form, and can present findings in a structured, accessible way. - You are detail-oriented, able to manage competing priorities under tight deadlines, and comfortable operating with some ambiguity. - You are curious about AI-powered tools and open to applying them within research workflows, including survey automation and data synthesis. - You hold a Bachelor's degree, preferably in economics, statistics, mathematics, political science, communications, or a related field. A Master's or advanced degree is a plus. Equal Opportunities:
<br><br>
HarrisX is an equal opportunity employer and is committed to building a diverse and inclusive workplace. We welcome applicants of all backgrounds and do not discriminate on the basis of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other characteristic protected by applicable law.
<br><br>
<b>Compensation:</b> The base salary range for this position is $60,000–$70,000 annually, commensurate with experience.

Research Analyst

American University

<div><h2 class="jobSectionHeader"><b>Work Where You Learn: Build Experience, Grow Skills, and Contribute to Your University Community.</b></h2><h2 class="jobSectionHeader"><b>
</b></h2><h2 class="jobSectionHeader"><b>
This position is available only to enrolled American University students.</b></h2><p></p><p><b>
Most student positions at American University are eligible to use Federal Work Study (FWS) awards, with a few exceptions. FWS funds cannot be applied to janitorial, construction, partisan or sectarian positions. For information or questions regarding FWS funds, please contact American University's Office of Financial Aid.</b></p><p><br>
Important guidance for current American University employees: American University current employees, including those employed in student positions, must apply through their employee Workday account. If you are a current employee at American University, please log into your employee Workday account and select the Find Jobs report which will take you to our internal career listings. Applying outside of your employee Workday account may cause delays in a hire process.</p><div><div><div><div><div><div><div><p><b>
Department:
</b></p></div></div></div></div></div></div></div><p></p>Mathematics &amp; Statistics Support<p></p><p><b>
Time Type:
</b></p>Part time<p></p><p><b>
FLSA Status:</b></p>
Non-Exempt<p></p><div><div><div><div><div><div><div><p><b>
Job Description:</b></p></div></div></div></div></div></div></div><div><div><p><b>
Summary:</b></p><p></p><p>
Quantitative Support is seeking American University students to join our tutoring team for the fall 2026 semester. Tutoring positions will start the week of September 7 and continue through December 11, 2026. Positions are for a semester. Tutors will provide quantitative tutoring and/or statistical software support to their peers.</p></div><p></p><div><p><br>
The types of tutoring positions available are as follows. Mathematics tutoring positions focus on assistance to students taking MATH-155 through MATH-222. Applicants to work in these positions must have successfully completed a minimum of three semesters of calculus. Statistics tutoring positions focus on assistance to students taking STAT-160 &ndash; STAT-302/320. Applicants to work in these positions must have completed at least two statistics courses (STAT-202 and an intermediate-level course). Online Statistical Software Support: Candidates for software support positions should be proficient in using one or more of the following: Excel, Python, R, SAS, SPSS, SQL, Stata, or StatCrunch.</p></div><p></p><div><p><br>
In addition to focusing on the above courses, the Quantitative Tutoring Lab supports DATA-412/612.</p></div><p></p><div><p><br>
Some candidates may be qualified to tutor in mathematics, statistics, data science, and statistical software support.</p></div><p></p><div><div><p><b><br>
Essential Functions:</b></p></div><div><ul><li><p>
Arrive on time for shifts.</p></li><li><p>
Greet students warmly upon arrival at the Tutoring Lab or at the beginning of an Online Statistical Software Support session.</p></li><li><p>
For in-person tutoring: assist AU students in understanding quantitative concepts, applying those concepts in their coursework, and preparing for related exams.</p></li><li><p>
Additionally, in-person tutors should remind students to use the lab check-in/out program and to submit a tutoring evaluation.</p></li><li><p>
For Statistical Software Support: guide students in using the above AU-supported statistical software and interpreting results from those platforms.</p></li><li><p>
Moreover, online tutors should remind students to submit a tutoring evaluation.</p></li><li><p>
Arrange shift coverage in cases of anticipated lateness or absence.</p></li><li><p>
Submit biweekly timesheets in a timely manner.</p></li><li><p>
Promote the Quantitative Tutoring Lab and Online Statistical Software Support at University events during shifts.</p></li></ul></div><p></p><p><b>
Position Type/Expected Hours of Work:</b></p><ul><li><p>
Part-time.</p></li><li><p>
10 hours per week.</p></li></ul><p></p><p><b>
Salary Range:</b></p><ul><li><p>
$18.40 - $22.50 per hour.</p></li></ul></div><p></p><div><p><b>
Required Education and Experience:</b></p><ul><li><p>
Enrolled in a mathematics, statistics, data science, or other quantitative-related course during the fall 2026 semester.</p></li><li><p>
Strong academic achievement in relevant coursework and/or statistical software.</p></li><li><p>
Experience in collaborating well with peers and a passion for helping them succeed.</p></li><li><p>
A faculty letter of recommendation.</p></li></ul></div></div><p></p><div><div><p><b>
 Additional Eligibility Qualifications:</b></p></div><div><ul><li><p>
During fall semesters, tutors typically work a set schedule of between two and fifteen hours per week, depending on their availability and the needs of students and Quantitative Support.</p></li><li><p>
Tutoring positions are open to both undergraduate, graduate, and PhD students.</p></li><li><p>
We welcome applications from students who have strong quantitative skills and/or statistical software proficiency, and who enjoy helping their peers succeed academically.</p></li></ul></div></div><p></p><p><b>
Other Details</b></p><ul><li><p><b>
This position is available only to enrolled American University students.</b></p></li><li><p>
Please note this job announcement is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.</p></li><li><p>
American University is an E-Verify employer.</p></li><li><p>
Visit https://www.american.edu/hr/ for additional information about American University employment and benefits.</p></li></ul><p></p><p><b><br>
Current American University Employees</b></p><p>
American University current employees (including those employed in student positions) must apply through their employee Workday account. If you are a current employee at American University, please log into Workday and select the Find Jobs report which will take you to our internal career listings.</p><p></p><p><b><br>
Contact Us</b></p><p>
For more information or assistance with the American University careers site, email theworkline@american.edu.</p><p></p><p><i><br>
American University is an equal opportunity, affirmative action institution that operates in compliance with applicable laws and regulations. The university does not discriminate on the basis of race, color, national origin, religion, sex (including pregnancy), age, sexual orientation, disability, marital status, personal appearance, gender identity and expression, family responsibilities, political affiliation, source of income, veteran status, an individual&rsquo;s genetic information or any other bases under federal or local laws (collectively &quot;Protected Bases&quot;) in its programs and activities.</i></p></div>

Math & Stats Lab Tutor (Student)

<div><h2 class="jobSectionHeader"><b>Work Where You Learn: Build Experience, Grow Skills, and Contribute to Your University Community.</b></h2><h2 class="jobSectionHeader"><b>
</b></h2><h2 class="jobSectionHeader"><b>
This position is available only to enrolled American University students.</b></h2><p></p><p><b>
Most student positions at American University are eligible to use Federal Work Study (FWS) awards, with a few exceptions. FWS funds cannot be applied to janitorial, construction, partisan or sectarian positions. For information or questions regarding FWS funds, please contact American University's Office of Financial Aid.</b></p><p><br>
Important guidance for current American University employees: American University current employees, including those employed in student positions, must apply through their employee Workday account. If you are a current employee at American University, please log into your employee Workday account and select the Find Jobs report which will take you to our internal career listings. Applying outside of your employee Workday account may cause delays in a hire process.</p><div><div><div><div><div><div><div><p><b>
Department:
</b></p></div></div></div></div></div></div></div><p></p>Mathematics &amp; Statistics Support<p></p><p><b>
Time Type:
</b></p>Part time<p></p><p><b>
FLSA Status:</b></p>
Non-Exempt<p></p><div><div><div><div><div><div><div><p><b>
Job Description:</b></p></div></div></div></div></div></div></div><div><div><p><b>
Summary:</b></p><p></p><p>
Quantitative Support is seeking American University students to join our tutoring team for the summer 2026 semester. Tutoring positions will start the week of May 11 and continue through August 14, 2026. Positions are for a semester. Tutors will provide quantitative tutoring and/or statistical software support to their peers.</p></div><p></p><div><p><br>
The types of tutoring positions available are as follows: Mathematics tutoring positions focus on assistance to students taking MATH-155 through MATH-222. Applicants to work in these positions must have successfully completed a minimum of three semesters of calculus. Statistics tutoring positions focus on assistance to students taking STAT-160 &ndash; STAT-302/320. Applicants to work in these positions must have completed at least two statistics courses (STAT-202 and an intermediate-level course). Online Statistical Software Support: Candidates for software support positions should be proficient in using one or more of the following: Excel, Python, R, SAS, SPSS, SQL, Stata, or StatCrunch.</p></div><p></p><div><p><br>
In addition to focusing on the above courses, the Quantitative Tutoring Lab supports DATA-412/612.</p></div><p></p><div><p><br>
Some candidates may be qualified to tutor in mathematics, statistics, data science, and statistical software support.</p></div></div><p></p><div><div><p><b><br>
Essential Functions:</b></p><ul><li><p>
Arrive on time for shifts.</p></li><li><p>
Greet students warmly upon arrival at the Tutoring Lab or at the beginning of an Online Statistical Software Support session.</p></li><li><p>
For in-person tutoring: assist AU students in understanding quantitative concepts, applying those concepts in their coursework, and preparing for related exams.</p></li><li><p>
Additionally, tutors should remind students to use the Lab check-in/out program and to submit a tutoring evaluation.</p></li><li><p>
For Statistical Software Support: guide students in using the above AU-supported statistical software and interpreting results from those platforms.</p></li><li><p>
Moreover, online tutors should remind students to submit a tutoring evaluation.</p></li><li><p>
Arrange shift coverage in cases of anticipated lateness or absence.</p></li><li><p>
Submit biweekly timesheets in a timely manner.</p></li><li><p>
Promote the Quantitative Tutoring Lab and Online Statistical Software Support at University events during shifts.</p></li></ul></div><p></p><div><p><b>
Position Type/Expected Hours of Work:</b></p><ul><li><p>
Part-time.</p></li><li><p>
10 hours per week.</p></li></ul><p></p><p>
<b>Salary Range:</b></p></div><div><ul><li><p>
$17.95 - $22.50 per hour.</p></li></ul></div></div><p></p><div><div><p><b><br>
Required Education and Experience:</b></p><ul><li><p>
Enrolled in a mathematics, statistics, data science, or other quantitative-related course during the fall 2026 semester.</p></li><li><p>
Strong academic achievement in relevant coursework and/or statistical software.</p></li><li><p>
Experience in collaborating well with peers and a passion for helping them succeed.</p></li><li><p>
A faculty letter of recommendation.</p></li></ul></div></div><p></p><div><p><b>
Additional Eligibility Qualifications:</b></p><div><ul><li><p>
Tutoring positions are open to both undergraduate, graduate, and PhD students.</p></li><li><p>
During summer semesters, tutors typically work a set schedule of between four and eight hours per week, depending on their availability and the needs of students and Quantitative Support.</p></li><li><p>
We welcome applications from students who have strong quantitative skills and/or statistical software proficiency, and who enjoy helping their peers succeed academically.</p></li></ul></div></div><p></p><p><b>
Other Details</b></p><ul><li><p><b>
This position is available only to enrolled American University students.</b></p></li><li><p>
Please note this job announcement is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.</p></li><li><p>
American University is an E-Verify employer.</p></li><li><p>
Visit https://www.american.edu/hr/ for additional information about American University employment and benefits.</p></li></ul><p></p><p><b><br>
Current American University Employees</b></p><p>
American University current employees (including those employed in student positions) must apply through their employee Workday account. If you are a current employee at American University, please log into Workday and select the Find Jobs report which will take you to our internal career listings.</p><p></p><p><b><br>
Contact Us</b></p><p>
For more information or assistance with the American University careers site, email theworkline@american.edu.</p><p></p><p><i><br>
American University is an equal opportunity, affirmative action institution that operates in compliance with applicable laws and regulations. The university does not discriminate on the basis of race, color, national origin, religion, sex (including pregnancy), age, sexual orientation, disability, marital status, personal appearance, gender identity and expression, family responsibilities, political affiliation, source of income, veteran status, an individual&rsquo;s genetic information or any other bases under federal or local laws (collectively &quot;Protected Bases&quot;) in its programs and activities.</i></p></div>

Summer Math & Stats Lab Tutor (Student)

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Math & Stats Lab Tutor (Student)

Summer Math & Stats Lab Tutor (Student)