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Job details

Data Scientist Senior

Type of Requisition:

Regular

Clearance Level Must Currently Possess:

None

Clearance Level Must Be Able to Obtain:

None

Public Trust/Other Required:

Other

Job Family:

Data Science

Job Qualifications:

Skills:

Data Science, Generative AI, Large Language Models (LLMs)

Certifications:

None

Experience:

5 + years of related experience

US Citizenship Required:

No

Job Description:

Deliver insights to help our clients turn data into action as a Data Scientist Senior at GDIT. Your work will provide transformative solutions to our clients’ big data obstacles and help advance the mission. Here, you can make a meaningful impact on our clients’ mission and on your career.

At GDIT, people are our differentiator. GDIT Technology Shared Services (TSS) is seeking a Data Scientist Senior to transform how government agencies use data. Our work depends on a Data Scientist Senior joining our team to work on Project Monologue, with a focus on delivering AI-powered virtual agent chatbots to Federal and State agencies.

HOW A DATA SCIENTIST SENIOR WILL MAKE AN IMPACT:

  • Accelerate product development by integrating advanced AI capabilities across our suite
  • Modernize contact centers and service desks through enhanced self-service capabilities
  • Implement generative AI (GenAI) with large language models (LLMs) and retrieval augmented generation (RAG) to deliver precise, data-driven responses
  • Develop omni-channel functionality across voice and chat interfaces
  • Enhance virtual agents through advanced features including classification and sentiment analysis
  • Build an agentic framework enabling service ticket management, account administration, and intelligent journey orchestration

WHAT YOU’LL NEED TO SUCCEED:

  • Bachelor's degree in a related field and 5+ years of relevant experience or equivalent years of experience
  • Experience as a data scientist
  • Experience with generative AI (GenAI) using large language models (LLMs), RAG, and knowledge bases
  • Expertise in AI/ML technologies on AWS, including Bedrock, Lambda, and SageMaker
  • Experience in machine learning and statistical techniques and modeling with both quantitative and qualitative data
  • Experience with Python libraries like Pandas, NumPy, scikit-learn, and PyTorch/TensorFlow
  • Ability to navigate ambiguity, solve problems, communicate effectively, and implement novel solutions in a dynamic field
  • Ability to obtain a public trust

NICE TO HAVE:

  • Experience fine-tuning LLMs for specific use cases
  • Hands-on experience with AI/ML tools in Google Vertex AI and Microsoft Azure
  • Background in NLP and conversational AI design
  • Experience with agentic frameworks and orchestration systems
  • Experience in forecasting, anomaly detection, classification, and clustering
  • Skilled in data visualization using python and BI tools such as Power BI, Tableau, or Looker
  • Experience with data pipelines, ETL processes, and database management
  • Experience in government contracting
  • Experience integrating AI solutions with legacy systems

GDIT IS YOUR PLACE:

  • Full-flex work week to own your priorities at work and at home
  • 401K with company match
  • Comprehensive health and wellness package
  • Internal mobility team dedicated to helping you own your career
  • Professional growth opportunities including paid education and certifications
  • Cutting-edge technology you can learn from
  • Rest and recharge with paid vacation and holidays

The likely salary range for this position is $102,000 - $138,000. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.

Scheduled Weekly Hours:

40

Travel Required:

None

Telecommuting Options:

Remote

Work Location:

Any Location / Remote

Additional Work Locations:

Total Rewards at GDIT:

Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. GDIT typically provides new employees with 15 days of paid leave per calendar year to be used for vacations, personal business, and illness and an additional 10 paid holidays per year. Paid leave and paid holidays are prorated based on the employee’s date of hire. The GDIT Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.

We are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 30 countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology.

We connect people with the most impactful client missions, creating an unparalleled work experience that allows them to see their impact every day. We create opportunities for our people to lead and learn simultaneously. From securing our nation’s most sensitive systems, to enabling digital transformation and cloud adoption, our people are the ones who make change real.

Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

Average salary estimate

$120000 / YEARLY (est.)
min
max
$102000K
$138000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Data Scientist Senior, GDIT

Join GDIT as a Data Scientist Senior and embark on a career where you can truly make an impact by transforming how government agencies harness data. In this exciting role, you will play a pivotal part in Project Monologue, focusing on delivering AI-powered virtual agent chatbots that revolutionize the way services are accessed by Federal and State agencies. Imagine accelerating product development through the integration of cutting-edge AI capabilities and modernizing contact centers with enhanced self-service functionalities! You'll implement techniques involving generative AI and large language models to provide precise, data-driven solutions to complex challenges. With your expertise in machine learning, statistical techniques, and experience with Python libraries like Pandas and TensorFlow, you will navigate ambiguity and devise innovative solutions in this dynamic field. If you have 5+ years of relevant experience, a Bachelor's degree in a related field, and a passion for AI and data science, GDIT is the place for you. Enjoy a full-flex work week that honors your work-life balance, coupled with a comprehensive health package and professional growth opportunities. At GDIT, we value our people and empower you to own your career while making significant contributions to transformative solutions!

Frequently Asked Questions (FAQs) for Data Scientist Senior Role at GDIT
What are the primary responsibilities of a Data Scientist Senior at GDIT?

As a Data Scientist Senior at GDIT, your primary responsibilities include delivering insights that help clients turn data into actionable strategies. You'll work on Project Monologue, focusing on creating AI-powered virtual agent chatbots. Key tasks involve integrating advanced AI capabilities, modernizing service desks, and implementing generative AI techniques using large language models to enhance self-service and functionality across different channels.

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What qualifications are required for the Data Scientist Senior position at GDIT?

To qualify for the Data Scientist Senior position at GDIT, you need a Bachelor’s degree in a related field and at least 5 years of relevant experience. A strong background in generative AI using large language models and proficiency in Python libraries, AI/ML technologies on AWS, as well as experience with machine learning and statistical techniques, are vital for successfully delivering on project objectives.

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What tools and technologies should a Data Scientist Senior at GDIT be familiar with?

A Data Scientist Senior at GDIT should be familiar with various tools and technologies, particularly those involving generative AI and large language models. Experience with AWS services like Bedrock, Lambda, and SageMaker, as well as proficiency in Python libraries such as Pandas, NumPy, and PyTorch/TensorFlow, will be crucial. Additionally, familiarity with data visualization tools like Power BI or Tableau can enhance your ability to present insights effectively.

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What opportunities for professional growth does GDIT offer to Data Scientist Seniors?

GDIT prides itself on fostering professional growth for its Data Scientist Seniors. Employees can benefit from paid educational initiatives and certifications, internal mobility programs to help diversify their career paths, and access to cutting-edge technology that encourages continuous learning. With a culture that values learning and development, employees are offered opportunities to lead and innovate.

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How does GDIT support work-life balance for Data Scientist Seniors?

GDIT offers a full-flex work week for Data Scientist Seniors, allowing you to manage your work and personal life effectively. The company provides various paid time-off options such as vacations, sick leave, and holidays, as well as supportive programs like paid family leave. This commitment to work-life balance ensures that employees can recharge and maintain their overall well-being.

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Common Interview Questions for Data Scientist Senior
Can you describe your experience with large language models and how you have used them in previous projects?

When answering this question, showcase your hands-on experience, specifying the projects where you implemented LLMs. Discuss the techniques you used, such as fine-tuning models for specific tasks, and how they contributed to project outcomes. Focus on the impact your work had on efficiency or effectiveness of data-driven solutions.

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How do you approach problem solving when faced with ambiguous data challenges?

Employ a structured thought process when addressing this question. Explain how you break down complex problems into manageable parts, analyze data trends, and utilize statistical techniques to derive insights. Emphasize your analytical capabilities and the strategies you employ to communicate findings to stakeholders.

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What methods do you use to validate machine learning models?

Respond by detailing the validation techniques you employ, such as cross-validation, confusion matrices, or ROC curves. Discuss how you assess model performance and what metrics you prioritize based on project requirements, illustrating your depth of knowledge in machine learning processes.

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How do you stay current with advancements in data science and AI technologies?

Highlight your commitment to continuous learning in your response. Mention relevant workshops, online courses, or conferences you’ve attended. You can also discuss communities you engage with, such as forums, meetups, or online platforms, from which you gain knowledge and insights on the latest trends and technologies.

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Can you provide an example of a project where you implemented generative AI?

Provide a detailed project summary showcasing your role in leveraging generative AI. Discuss objectives, methods, and results. Emphasize actionable outcomes and how your contributions enhanced the project’s effectiveness, underlining the business impact of the generative AI implementation.

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What experience do you have with integrating AI solutions into existing systems?

Share specific examples where you successfully integrated AI solutions with legacy systems. Discuss the challenges faced during integration and how you navigated those issues, focusing on teamwork and collaboration with stakeholders to achieve a seamless transition.

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Describe your proficiency in using data visualization tools.

Explain your experience with tools like Power BI or Tableau. Discuss specific projects where you utilized data visualization to represent complex data insights effectively, highlighting your design choices and narrative style that enhances user understanding and drives decision-making.

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What is your experience with developing omni-channel functionalities?

When answering, discuss any specific projects where you developed omni-channel functionalities across various platforms or services. Share the importance of user experience in your approach, highlighting strategies to ensure consistency and availability across channels.

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How do you handle feedback and critiques on your data science projects?

Address this by emphasizing your openness to feedback and collaborative spirit. Discuss how you view criticism as an opportunity for growth, and provide an example of a time when feedback led to an improvement in your project outcomes.

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What role do you think ethical considerations play in AI development?

Discuss the importance of ethics in AI development, expressing your awareness of potential biases and societal impacts of AI applications. Highlight how you prioritize ethical practices in your projects and why they are crucial for responsible AI deployment.

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Full-time, remote
DATE POSTED
April 20, 2025

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