Data Scientist (Remote - US) at Jobgether

, , United States -

Full Time

Start Date

Immediate

Expiry Date

17 Feb, 26

Salary

0.0

Posted On

19 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, Predictive Modeling, Machine Learning, Statistical Algorithms, A/B Testing, Data Quality, Cloud Data Environments, Python, R, NLP, Time Series Forecasting, Collaboration, Documentation, Experiment Design, Causal Inference, Recommender Systems

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 the United States. This role offers the opportunity to contribute to cutting-edge AI and machine learning initiatives within a dynamic, collaborative, and globally distributed team. You will analyze complex datasets, develop predictive models, and deploy ML solutions that directly influence business decisions and product innovation. The position requires both technical expertise and strong problem-solving abilities, as well as the capacity to work cross-functionally with engineers, product managers, and stakeholders. The ideal candidate thrives in a fast-paced environment, embraces continuous learning, and is passionate about leveraging data science to deliver measurable impact. Accountabilities: · Analyze, clean, and explore structured and unstructured datasets to uncover patterns and actionable insights. · Design, build, evaluate, and deploy predictive models, statistical algorithms, and machine learning pipelines. · Conduct experimentation and A/B testing to assess product and feature performance. · Translate analytical findings into clear business recommendations that inform strategic and operational decisions. · Collaborate with data engineers, product managers, and software engineers to integrate ML models into production systems. · Establish data quality, validation, and governance practices to ensure reproducibility and consistency. · Optimize ML data pipelines for performance, scalability, and reliability. · Stay current with developments in machine learning, statistics, and AI to continuously improve workflows and models. · Bachelor’s or Master’s degree in Computer Science, Machine Learning, Applied Mathematics, or a related field. · 3+ years of professional experience as a data scientist developing models for enterprise applications. · Proficiency in Python and libraries such as pandas, NumPy, scikit-learn, and statsmodels, or R. · Experience with machine learning algorithms including regression, classification, clustering, and model evaluation. · Familiarity with large-scale models (LLMs, foundation models) and multi-modal AI systems. · Knowledge of vector databases, embedding pipelines, and retrieval-augmented generation (RAG) is a plus. · Experience with cloud data environments (AWS, GCP, Azure, OCI, or Databricks). · Familiarity with experiment design, causal inference, NLP, time series forecasting, or recommender systems. · Knowledge of privacy-preserving ML, federated learning, or reinforcement learning is a plus. · Excellent communication, collaboration, and documentation skills. · Experience with source code management tools such as Git. · Competitive salary commensurate with experience. · Fully remote work opportunities. · Comprehensive medical, dental, and vision insurance. · Flexible PTO and paid holidays. · Professional development opportunities and learning support. · Access to global, diverse, and collaborative teams. · Inclusive and supportive work environment with a focus on personal and professional growth. 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 undergoes an 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. 🎯 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 complete, it is shared with the hiring company, which handles final decisions and next steps. Thank you for your interest! #LI-CL1

Responsibilities

Analyze complex datasets and develop predictive models that influence business decisions. Collaborate with cross-functional teams to integrate machine learning solutions into production systems.