Sr Data Scientist I (Remote - US) at Jobgether

, , United States -

Full Time

Start Date

Immediate

Expiry Date

02 Feb, 26

Salary

168000.0

Posted On

04 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Large Language Models, Machine Learning, Python, PyTorch, Databricks, MLflow, Delta Lake, Model Interpretability, Bias Analysis, Causal Inference, Simulation Modeling, Graph-Based Reasoning, Collaboration, Problem Solving, Analytical Skills, Communication Skills

Industry

Internet Marketplace Platforms

Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Sr Data Scientist I in the United States. The Sr Data Scientist I will play a pivotal role in advancing the capabilities of large language models (LLMs) and machine learning solutions within a clinical research ecosystem. You will optimize, fine-tune, and operationalize AI models to enhance predictive, generative, and retrieval-augmented tasks, translating complex research challenges into scalable, high-impact solutions. Working closely with data engineering, product, and domain teams, you will implement robust model pipelines, evaluate performance, and ensure reproducibility and compliance. This role offers the opportunity to work remotely across the U.S. while contributing to innovative AI solutions that accelerate clinical research outcomes and improve human health. Accountabilities: Optimize, fine-tune, and evaluate large language models (LLMs) using proprietary datasets to improve precision, recall, and contextual relevance. Collaborate with data engineering, product, and domain teams to implement scalable, model-driven solutions. Develop and operationalize retrieval-augmented generation (RAG) systems for research-focused AI applications. Build and maintain workflows for model training, evaluation, and deployment using Databricks, MLflow, and Delta Lake. Conduct model interpretability, bias analyses, and validation to ensure fairness, transparency, and compliance. Translate research and operational challenges into measurable evaluation frameworks and optimization strategies. Document methodologies, results, and reproducible pipelines to support governance and audit readiness. MS in Machine Learning, Computer Science, or a related quantitative discipline, or equivalent professional experience. 5+ years of hands-on experience developing and fine-tuning ML or LLM models. Strong proficiency in Python and experience with frameworks like PyTorch. Experience managing workflows in Databricks and applying machine learning best practices. Knowledge of embeddings, retrieval-augmented generation (RAG), and the ML lifecycle. Strong problem-solving, analytical, and communication skills, with the ability to collaborate across teams. Preferred: PhD in a related discipline, experience with causal inference, simulation modeling, or graph-based reasoning in clinical or biomedical research. Competitive base salary: $130,000 - $168,000, depending on experience and location. Eligibility for variable bonus in addition to base salary. Health, dental, and vision insurance coverage. Paid holidays and generous time off policies. Remote work flexibility across the United States. Opportunities for professional development and career 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 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! #LI-CL1

Responsibilities

The Sr Data Scientist I will optimize, fine-tune, and operationalize AI models to enhance predictive, generative, and retrieval-augmented tasks. This role involves collaborating with various teams to implement robust model pipelines and ensure compliance and reproducibility.