Senior Data Scientist (Remote - US) at Jobgether

, , United States -

Full Time

Start Date

Immediate

Expiry Date

05 Mar, 26

Salary

0.0

Posted On

05 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Machine Learning, SQL, Statistics, Regression Modeling, Decision Trees, Random Forests, SVM, Clustering, Data Presentation, Technical Leadership, Feature Engineering, Data Ingestion, Model Deployment, Anomaly Detection, Optimization

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 United States. This role offers the opportunity to drive advanced analytics and AI-driven solutions in a high-impact environment. The Senior Data Scientist will collaborate with cross-functional teams to design, develop, and deploy machine learning models that detect anomalies, optimize processes, and enhance decision-making. You will work with large, complex datasets, building pipelines from data ingestion to model deployment, while providing actionable insights for business stakeholders. The position involves research, experimentation, and innovation to advance AI capabilities in financial and operational analytics. You will also mentor junior team members and contribute to technical strategy, ensuring scalable, reliable, and explainable AI solutions. This is an ideal role for a technically skilled and strategic thinker who thrives on solving challenging problems with AI and data science. \n Accountabilities: Lead development projects, engaging with stakeholders to collect requirements and define machine learning solutions. Design, implement, and maintain machine learning pipelines including feature engineering, modeling, deployment, and overfitting diagnostics. Research and develop analytical and optimization methods to enhance platform capabilities. Identify opportunities to leverage advanced analytics to solve complex, non-routine business problems. Provide technical guidance, mentoring, and training to team members. Collaborate with product managers, developers, and data scientists to deliver impactful AI solutions. Requirements: 3+ years of hands-on experience using Python in data science or machine learning projects. Strong applied experience with machine learning on large datasets. Expertise in SQL for processing and analyzing structured and unstructured data. Proficiency in statistics, regression modeling, decision trees, random forests, SVM, clustering, and other machine learning techniques. Ability to translate business questions into data-driven solutions. Experience with Linux distributions and collaborative software development environments. Strong communication and data presentation skills, with a track record of mentoring or providing technical leadership. Bachelor’s degree in Computer Science, Data Science, or a related field, with emphasis on Machine Learning. Benefits: Competitive salary and performance-based incentives. Flexible work arrangements and supportive remote options. Opportunity to work on cutting-edge AI solutions in financial and operational analytics. Professional growth through mentoring, collaboration, and exposure to large-scale data projects. Inclusive and collaborative work culture valuing diversity and innovation. Access to learning resources and opportunities to expand technical expertise. \n 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 three 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! By submitting an application to this posting, the applicant acknowledges that Jobgether will process their personal data as necessary to evaluate their candidacy, provide feedback, and, when appropriate, share relevant information with potential employers. Such processing is carried out on the basis of legitimate interest and pre-contractual measures in accordance with applicable data protection laws. The applicant may exercise their rights of access, rectification, erasure, and objection at any time as provided under the GDPR. #LI-CL1

Responsibilities

The Senior Data Scientist will lead development projects, engaging with stakeholders to define machine learning solutions and design, implement, and maintain machine learning pipelines. They will also mentor junior team members and contribute to technical strategy for scalable AI solutions.