Data Scientist (Remote - US) at Jobgether

, , United States -

Full Time

Start Date

Immediate

Expiry Date

06 Feb, 26

Salary

165000.0

Posted On

08 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Machine Learning, Python, R, Data Visualization, Cloud Architectures, Hadoop, SQL, Consulting, Client-Facing Roles, MLOps, WebApps Development, APIs, Communication Skills, Collaboration, Adaptability

Industry

Internet Marketplace Platforms

Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Scientist in United States. In this role, you will apply data science expertise to solve real-world problems while actively supporting clients through the full lifecycle of data-driven projects. You will co-develop production-level models, analyze complex datasets, and provide consultative guidance to clients and internal teams. The role requires a balance of technical skill and communication, as you will translate sophisticated analytical solutions into actionable insights for both technical and non-technical audiences. You will work in a collaborative, fast-paced environment, with opportunities to build tools, automate workflows, and develop innovative solutions. Your contributions will directly enhance client success, platform capabilities, and the adoption of AI and machine learning solutions across industries. Accountabilities: Co-develop production-level data science projects with clients, from design through deployment. Analyze and investigate diverse datasets and machine learning applications across industries. Provide consultative support, including training, office hours, and guidance to help clients leverage AI tools effectively. Develop custom Python or R-based plugins to extend platform functionality, in collaboration with product and R&D teams. Offer data science expertise internally to sales, marketing, and product teams, translating insights into practical strategies. Continuously explore new modeling techniques, technologies, and approaches to improve client outcomes and platform capabilities. 1–4 years of experience with machine learning tools and building models (Python, R). Experience with data visualization and familiarity with data systems such as Cloud architectures, Hadoop, or SQL. Strong curiosity, adaptability, and willingness to learn new skills and technologies. Excellent communication skills, with the ability to explain complex concepts to technical and non-technical audiences. Empathy and a collaborative mindset, with a commitment to supporting colleagues and clients. Prior experience in consulting or client-facing data science roles, data engineering, or MLOps is a plus. Familiarity with WebApps development (JavaScript, RShiny, Dash) or building APIs is desirable. Competitive salary: $150,000 – $165,000 USD. Potential eligibility for commission or other variable compensation. Stock options and equity grants. Medical, Dental, and Vision coverage. Flexible spending accounts and pre-tax commuter benefits. 401(k) company match. Paid vacation, sick leave, and parental leave. Employer-paid disability coverage. Additional wellness and professional development perks. 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! #LI-CL1

Responsibilities

In this role, you will co-develop production-level data science projects with clients and analyze complex datasets. You will provide consultative support and translate analytical solutions into actionable insights for various audiences.