Data Scientist, Jr.

Wiraa; United States; Hybrid; USD 120,000 - 190,000; Full time

Benefits offered by this job

Medical, Prescription, Dental, and Vis

401(k) Retirement Plan

Parental Leave and Adoption Assistance

Tuition Reimbursement

Life Insurance

Health Savings Account

Job summary

Guidehouse is seeking a data scientist to join the Data Science Consulting team. You will apply technical expertise with Python, SQL, LLMs, Tableau, and Databricks to understand client needs and design tailored data solutions for federal clients.

The role involves automating processes with Power Automate, communicating findings to leadership, and engaging directly with clients to gather requirements and drive initiatives forward. Remote, hybrid, or on-site work in the Washington D.C.

Qualifications

• Active SECRET or higher security clearance.
• Bachelor's degree in a relevant technical field.
• Minimum of two years of experience in data science, data engineering, or data analytics.
• Proficiency in Python and SQL for data wrangling and querying.
• Experience designing and developing ETL/ELT data pipelines.
• Experience utilizing Large Language Models (LLMs) and prompt engineering.
• Experience developing and deploying AI/ML models using Python.
• Experience with cloud environments such as Azure or AWS.
• Ability to support remote, hybrid, or on-site projects in the Washington D.C. metro area.

Responsibilities

• Analyze client needs and design data science solutions.
• Develop data products using Python, SQL, LLMs, Tableau, and Databricks.
• Automate workflows with Power Automate where appropriate.
• Communicate findings to technical and non-technical stakeholders, including leadership.
• Engage with clients to gather requirements and tailor solutions to mission objectives.
• Support internal business development activities including responses to RFxs and white papers.
• Perform analytics and data engineering in Azure or AWS.

Skills

Python proficiency

SQL querying

LLMs

Prompt engineering

AI/ML modeling

Data analytics

Education

Bachelor's degree in a relevant technical field

Tools

Databricks

Power Automate

Power BI

Tableau

APIs

Docker

Job description

About The Company

Guidehouse is a leading consulting firm dedicated to delivering innovative solutions and actionable insights to federal clients. With a commitment to excellence and a mission-focused mindset, Guidehouse leverages advanced technologies and analytical expertise to address complex challenges across various sectors. The company fosters a diverse and inclusive workplace culture that supports professional growth and values collaboration, integrity, and client success. Guidehouse is committed to providing a comprehensive total rewards package and a flexible benefits program to ensure the well-being and development of its employees.

About The Role

We are seeking a highly skilled Data Scientist to join our Data Science Consulting team. In this role, you will apply strong technical skills and a mission-focused approach to understand client needs, identify opportunities, and design tailored solutions for federal clients. You will utilize tools such as Python, SQL, Large Language Models (LLMs), Tableau, and platforms like Databricks to develop innovative products and solutions. The role involves automating processes using Power Automate where appropriate, and clearly communicating technical findings to both technical and non-technical audiences, including leadership. You will engage directly with clients to gather requirements, adapt solutions to mission needs, and drive initiatives forward. Additionally, you will support internal initiatives and business development efforts including responses to RFPs, RFQs, RFIs, and the preparation of white papers. This position requires an active Secret clearance and the ability to support remote, hybrid, or on-site projects in the Washington D.C. metro area.

Qualifications

• Active SECRET or higher security clearance
• Bachelor's degree in a relevant technical field
• Minimum of two (2) years of experience in data science, data engineering, or data analytics
• Proficiency in connecting and wrangling data using Python
• Experience in querying and manipulating data using SQL
• Experience designing and developing ETL/ELT data pipelines
• Experience utilizing Large Language Models and prompt engineering
• Experience developing and deploying AI/ML models using Python
• Experience performing analytics and data engineering in cloud environments such as Azure or AWS
• Ability to support remote, hybrid, or on-site projects in the Washington D.C. metro area

Preferred Qualifications

• Three (3) years of relevant professional experience
• Experience working with Databricks platform
• Strong understanding of statistics and statistical methods
• Knowledge of Natural Language Processing (NLP)
• Familiarity with API development and integration
• Ability to learn new software tools quickly
• Ability to work independently and proactively identify opportunities to add value
• Strong communication skills to present technical solutions to diverse audiences
• Experience developing and conducting technical training
• Familiarity with Retrieval-Augmented Generation (RAG) methods and development
• Understanding of AI/ML model containerization technologies such as Docker
• Proficiency in developing data visualizations and dashboards using Power BI or Tableau
• Experience automating business processes using Power Automate
• Proficiency with source control and collaborative development practices
• Experience with graph analytics, network analysis, or graph data modeling
• Relevant experience supporting the Department of State or other Federal Government organizations

Responsibilities

• Apply technical expertise to analyze client needs and design effective data science solutions
• Develop data products and solutions using Python, SQL, LLMs, Tableau, and Databricks
• Automate workflows and processes using Power Automate when appropriate
• Communicate technical findings clearly to both technical and non-technical stakeholders, including executive leadership
• Engage directly with clients to gather requirements and tailor solutions to mission objectives
• Drive project initiatives forward by collaborating with cross-functional teams and stakeholders
• Support internal business development activities including preparing responses to RFPs, RFQs, and RFIs, and authoring white papers
• Perform analytics and data engineering tasks in cloud environments such as Azure or AWS
• Design, develop, and deploy AI/ML models and data pipelines
• Contribute to the continuous improvement of data science methodologies and best practices

Benefits

• Medical, Prescription, Dental, and Vision Insurance
• Personal and Family Sick Time and Company Paid Holidays
• Eligibility for discretionary variable incentive bonus
• Parental Leave and Adoption Assistance
• 401(k) Retirement Plan
• Basic Life and Supplemental Life Insurance
• Health Savings Account, Dental/Vision, and Dependent Care Flexible Spending Accounts
• Short-Term and Long-Term Disability Insurance
• Student Loan PayDown Program
• Tuition Reimbursement

Equal Opportunity

Guidehouse is an equal opportunity employer committed to recruiting, hiring, training, and promoting qualified individuals of all backgrounds. Employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected status.