Data Scientist (3884) (Remote - US)

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Scientist (3884) in the United States.

This role offers an exciting opportunity to translate complex customer evaluation data into actionable insights that drive business outcomes and inform strategic decision-making. You will be responsible for automating analytical workflows, building scalable data processes, and creating compelling ROI narratives that influence purchasing decisions. The position blends data science expertise with customer interaction, allowing you to impact product intelligence, enhance sales strategies, and support data-driven growth initiatives. You will work collaboratively with cross-functional teams while leveraging modern data stack tools, cloud platforms, and visualization frameworks to deliver high-quality insights at scale. Remote work is supported, with occasional travel for team workshops and stakeholder engagement.

Accountabilities

• Analyze customer evaluation data to generate clear, actionable insights that demonstrate solution value to prospective customers.
• Develop and maintain standardized ROI frameworks to quantify business impact across different customer profiles.
• Automate reporting processes and build templated analyses adaptable for various industries and customer segments.
• Support the design and implementation of scalable, repeatable analytical workflows.
• Aggregate insights across customer evaluations to identify market trends, benchmarking opportunities, and product enhancement needs.
• Contribute to feedback loops that channel insights to product teams for continuous improvement.
• Collaborate effectively with sales, product, and cross-functional teams to ensure seamless integration of insights into business processes.

Requirements

• 3+ years of hands-on experience in data science, preferably in customer-facing analytics, process automation, or sales engineering roles.
• Proficiency in Python or R, SQL, and statistical analysis libraries (e.g., pandas, scikit-learn).
• Experience with data visualization tools such as Quicksight, Tableau, Power BI, or similar platforms.
• Familiarity with cloud platforms (AWS, Azure, or GCP) and modern data stack technologies.
• Master’s or PhD in Data Science, Statistics, or a related field preferred.
• Ability to translate complex technical analyses into compelling business narratives for technical and non-technical audiences.
• Strong collaboration, communication, and problem-solving skills, with initiative and ownership mindset.
• Bonus: Experience in identity verification, fraud detection, financial services, or presenting technical findings to clients during sales processes.

Benefits

• Competitive salary and performance-based incentives.
• Flexible remote work arrangements with occasional travel.
• Comprehensive healthcare coverage and wellness programs.
• Professional development opportunities, including training and career growth support.
• Inclusive, diverse, and collaborative work environment.
• Paid time off and holidays to support work-life balance.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

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