Data Scientist (3884) at GBG

New York, New York, United States -

Full Time

Start Date

Immediate

Expiry Date

02 Feb, 26

Salary

0.0

Posted On

04 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Python, R, SQL, Statistical Analysis, Data Visualization, Cloud Platforms, Process Automation, Customer Evaluation Analytics, ROI Frameworks, Product Intelligence, Collaboration, Communication Skills, Business Acumen, Initiative, Ownership

Industry

IT Services and IT Consulting

Description

Enabling safe and rewarding digital lives for genuine people, everywhere We make it our mission to ensure more genuine people have digital access to opportunities, and businesses have access to more genuine people. Our technology draws on diverse and reliable data to create a single point of truth for identity and address verification. With over 30 years of experience behind us our team and technology are focused on enabling safe and rewarding digital lives for everyone. Regardless of age, location or background, genuine people everywhere should be able to digitally prove who they are and where they live. About the team and role Data Scientist, Go-to-Market Analytics Join GBG's Go-to-Market data science team and shape the future of how we demonstrate value to our prospective customers! In this role, you’ll help improve the critical process of analyzing customer evaluations, transforming raw data into compelling ROI narratives and business cases that directly influence purchasing decisions. You’ll play a pivotal role in automating insights from data studies, accelerating deal closures, and enhancing product intelligence. This is a unique opportunity to blend analytical rigor, strategic thinking, and customer interaction. This is a remote position with a strong preference for candidates in the Atlanta metropolitan area. Travel for team collaboration, process workshops, and stakeholder meetings may be required (estimated 20-25%). What you will do Customer Evaluation Analytics Translate customer evaluation data into clear, compelling insights that demonstrate solution value to prospective customers Support the development of standardized ROI frameworks to quantify business impact across customer profiles Assist in creating automated reports that showcase key findings and value propositions for prospective customer presentations Process Automation & Scale Build templated analyses that can be adapted for different industries and customer segments Contribute to automating analytical workflows to reduce manual effort and improve consistency Support the design of scalable processes that align with the organization’s growth and evolving needs Product Intelligence & Feedback Loops Aggregate insights across customer evaluations to uncover market trends and strategic opportunities Help establish feedback loops that channel customer insights to the Product team for product enhancement Contribute to building benchmarking tools that help prospective customers understand their position and potential ROI Skills we are looking for Technical Foundation 3+ years of hands-on experience in data science, with demonstrated success in customer-facing analytics or process automation roles Expert proficiency in Python/R, SQL, and statistical analysis libraries (pandas, scikit-learn, etc.) Experience with data visualization tools (Quicksight, Tableau, Power BI, or similar) Familiarity with cloud platforms (AWS, Azure, or GCP) and modern data stack tools Masters of PhD (preferred) in Data Science or equivalent Bonus Qualifications Sales engineering or customer-facing technical role experience Domain expertise in identity verification, fraud detection, and/or financial services Experience presenting technical findings to prospects or clients during sales processes Business Acumen Experience analyzing customer data and translating technical findings into compelling business narratives Knowledge of statistics, predictive modeling, and ROI calculation frameworks Ability to create presentations that communicate value propositions to both technical and business stakeholders Familiarity with cross-functional collaboration processes Professional Qualities Initiative and ownership - You identify problems and solve them without being asked Automation mindset - You are eager to support scalable, repeatable processes for data analysis Communication skills - You can present complex findings to both technical and business audiences Collaboration - You work effectively with cross-functional teams and build strong relationships To find out more As an equal opportunity employer, we are dedicated to creating a diverse and inclusive workplace where everyone feels valued and empowered. Please inform your GBG Talent Attraction Partner if you require any reasonable adjustments to the interview process. To chat to the Talent Attraction team and find out more about our benefits and why we’re a great place to work, drop an email to behired@gbgplc.com and we’ll be in touch. You can also find out more about careers at GBG and check out our current opportunities at gbgplc.com/careers.

Responsibilities

The Data Scientist will analyze customer evaluations and transform raw data into compelling ROI narratives that influence purchasing decisions. They will also automate insights from data studies and enhance product intelligence.