Data Scientist (Remote - US)

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

As a Data Scientist, you will apply your expertise to transform complex data into actionable insights that drive strategic decision-making and impact millions. You will work in a dynamic, remote-friendly environment, leveraging advanced machine learning, AI, and cloud technologies to solve real-world problems. This role requires creativity, technical excellence, and a passion for innovation, offering the opportunity to design, develop, and deploy cutting-edge AI solutions. You will collaborate closely with engineers, developers, and business stakeholders, shaping best practices and delivering measurable business outcomes. Your contributions will directly influence product effectiveness, operational efficiency, and organizational success in a high-impact setting.

Accountabilities:

·        Collaborate with business users to evaluate needs, gather requirements, and translate them into actionable data science solutions.

·        Design, develop, and fine-tune Large Language Models (LLMs) and other machine learning systems for practical applications.

·        Apply statistical analysis and machine learning techniques to multi-modal data sources.

·        Deploy cloud-based AI solutions ensuring scalability, security, and seamless integration with APIs and microservices.

·        Drive adoption of best practices in continuous integration and delivery (CI/CD) for AI systems.

·        Conduct research in NLP, machine learning, and AI ethics, implementing innovative techniques where appropriate.

·        Present insights and recommendations to leadership in clear, non-technical language.

Requirements

·        Master’s degree in Computer Science, Artificial Intelligence, or a related field.

·        Minimum of 3 years of hands-on experience developing, deploying, and maintaining machine learning or deep learning solutions at scale.

·        Expertise in Python (essential), with strong programming skills in Python, Java, or similar languages.

·        Extensive experience with AI/ML frameworks such as PyTorch, TensorFlow, or Huggingface-transformers.

·        Strong understanding of transformer architectures, vector embeddings, and generative AI concepts, including RAG.

·        Proficiency in cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).

·        Solid knowledge of statistical models, machine learning algorithms, and AI system deployment.

·        Ability to pass a Tier 2/Moderate Background Investigation.

·        Strong problem-solving skills, attention to detail, and ability to communicate complex technical concepts effectively.

Benefits

·        Competitive salary range of $110,000 – $130,000, with consideration for experience, skills, and location.

·        Potential eligibility for additional compensation such as bonuses.

·        Comprehensive benefits including healthcare, paid time off, paid holidays, life insurance, disability coverage, 401K match, tuition reimbursement, and flexible savings accounts.

·        Remote work options and flexible work arrangements.

·        Opportunities for professional growth, training, and certifications.

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!

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