Job Description

INTRODUCTION

About FGS Global

FGS Global is a strategic advisory and communications consultancy, with over 1400 multidisciplinary experts across the world’s major financial, government, business, and cultural centers. The firm is an acknowledged leader in crisis, corporate reputation, public affairs and capital markets, M&A advisory and boardroom communication counsel. FGS Global supports its clients in addressing a myriad of stakeholder concerns by leveraging its research and insights, media placement, content, digital, and data capabilities. The company was created in December 2021 by combining Finsbury, Hering Schuppener, The Glover Park Group, and Sard Verbinnen & Co. FGS Global serves its client base from 27 cities worldwide, including U.S. Offices in New York, Washington, D.C., Los Angeles, Boston, Chicago, San Francisco, South Florida, and Houston. This position can be based in the Washington, D.C. or New York City office and follows a hybrid on-site schedule.

FGS Global is seeking an experienced Data Scientist or Data Engineer with 5-8 years of experience to join our Data Science team. In this role, you will help build and maintain the infrastructure, data pipelines, and tools that power advanced analytics and machine learning applications across the firm. You’ll collaborate closely with developers, strategists, analysts, and international data teams, working within a shared global technical stack.

This position offers a unique opportunity to engage with both internal and external stakeholders, contributing to real-world projects while enhancing your communication and problem-solving skills. You will work alongside multidisciplinary colleagues to support fully integrated and high-impact campaigns for leading brands and issues. At FGS Global, you'll join a collaborative team driving data-informed strategies, with opportunities to grow and make an impact from day one.

Responsibilities

• Design, build, and manage data pipelines and workflows that connect to internal and external data sources.
• Develop and maintain data warehouses and structured storage systems to support analytics and reporting needs.
• Lead the design, development, and deployment of machine learning models, including generative AI applications.
• Build and maintain internal products that support both client-facing and operational use cases.
• Collaborate cross-functionally with developers, strategists, and subject-matter experts to define and deliver impactful data-driven solutions.
• Architect and maintain cloud-based infrastructure for scalable and reliable ML and data workflows.
• Translate real-world business problems into structured analytical or technical approaches.
• Contribute to team-wide best practices for code quality, version control, and documentation.

Attributes

• A BA/BS degree in a related field, plus 5-8 years of relevant work experience
• Solid understanding of data engineering principles, including ETL, database design, and pipeline automation.
• Experience with machine learning, including model training, evaluation, and deployment in production environments.
• Experience working with modern data warehousing technologies (e.g., BigQuery, Redshift, Snowflake).
• Proficiency in Python and familiarity with SQL and cloud platforms (e.g., AWS, GCP).
• Exposure to AI/ML workflows, including model training, evaluation, and deployment.
• Strong communication and collaboration skills, especially across distributed or cross-functional teams.
• Product mindset with the ability to balance technical excellence with practical business needs.
• Effective communicator able to translate complex technical topics for non-technical stakeholders.
• Collaborative and self-directed, with the ability to manage multiple projects and priorities simultaneously.
• Curious, experimental, and motivated by solving meaningful real-world problems.

In Washington, DC the base salary for this position at the time of this posting may range from $110,000—$140,000 USD. Individual compensation varies based on job-related factors, including business needs, experience, level of responsibility and qualifications. We offer medical, dental and vision plans, life insurance, short-term disability, long-term disability and AD&D plans, 401(k) with company matching contribution, technology reimbursement, discretionary bonuses, and paid time off to eligible full-time employees.

FGS Global provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, sexual orientation, age, disability, or genetics. In addition to United States federal law requirements, FGS Global complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities.

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