Senior Data Scientist - Fully remote (North America) at Jobgether

, , United States -

Full Time

Start Date

Immediate

Expiry Date

11 Mar, 26

Salary

0.0

Posted On

11 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Predictive Analytics, Descriptive Analytics, Python, SQL, Machine Learning, Cloud Data Warehousing, Feature Engineering, Model Deployment, Statistical Modeling, MLOps, AI Applications, Collaboration, Communication, Agentic AI, Large Language Models

Industry

Internet Marketplace Platforms

Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Data Scientist in North America. In this role, you will shape high-impact data initiatives that fuel strategic decision-making and product innovation. You will work with diverse data sources — from financial transactions to customer behavior and system usage — to uncover insights, optimize performance, and drive measurable business outcomes. You will lead advanced analytics projects, build production-grade models, and contribute to next-generation agentic AI applications. Operating within a remote, distributed environment, you will collaborate with cross-functional teams to solve complex challenges and elevate data science capabilities across the organization. This is a role for someone who thrives in fast-paced, data-rich settings and enjoys blending technical rigor with strategic thinking. \n Accountabilities: Lead predictive and descriptive analytics initiatives across finance, marketing, product performance, and operational domains to identify trends, optimization opportunities, and critical insights. Design research workflows and oversee full-lifecycle development of data-intensive and AI-driven applications, including agentic AI systems. Own model development end-to-end, from data exploration and feature engineering to deployment, optimization, and long-term maintenance. Partner with teams in sales, marketing, product, and operations to translate business challenges into robust, data-backed solutions. Champion best practices in statistical modeling, MLOps, and advanced AI to continuously evolve internal data science capabilities. Requirements: Extensive experience as a Senior Data Scientist in brokerage, trading, or financial services, with hands-on exposure to high-volume, high-integrity data environments. Expert proficiency in Python and industry-standard libraries such as pandas and scikit-learn, along with advanced SQL skills. Strong background in supervised and unsupervised learning, with proven experience deploying models in production. Practical experience working with cloud-native data warehouses such as Snowflake, BigQuery, Redshift, or similar technologies. Ability to manage full project lifecycles including research, development, deployment, and ongoing optimization. Exceptional communication skills and a track record of effective collaboration with non-technical stakeholders in fast-paced settings. Nice to have: experience building applications with Large Language Models or agentic AI frameworks; familiarity with semantic modeling tools such as dbt Semantic Layer, Cube.js, or LookML. Benefits: Competitive salary and stock option program. Comprehensive health benefits. One-time 500 USD home-office setup allowance for new hires. Monthly 150 USD stipend via Brex Card. Inclusive environment committed to equitable opportunities and diverse hiring. \n Why Apply Through Jobgether? We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1

Responsibilities

Lead advanced analytics projects and develop production-grade models to drive business outcomes. Collaborate with cross-functional teams to translate business challenges into data-backed solutions.