Data Scientist II (Remote - US)

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Scientist II in the United States. This role offers an opportunity to apply advanced data science techniques to solve complex business problems at scale. You will develop, implement, and optimize machine learning, generative AI, and agentic AI solutions while ensuring responsible and measurable impact. The position spans the full data science lifecycle, including data processing, modeling, evaluation, and productionization. You will collaborate cross-functionally to translate business needs into actionable models, mentor junior team members, and communicate insights to both technical and non-technical stakeholders. This role emphasizes innovation, collaboration, and the application of state-of-the-art AI tools to drive business performance and improve decision-making. The role is fully remote, providing flexibility while working on high-impact projects. Accountabilities In this position, you will: • Build, tune, and deploy machine learning models including classification, regression, clustering, and recommendation systems. • Develop LLM workflows including prompt engineering, RAG, fine-tuning, and multi-modal models. • Implement agentic AI solutions leveraging orchestration tools and advanced AI pipelines. • Process and manage large datasets using Python, PySpark, pandas, and SQL. • Apply MLOps practices such as CI/CD, monitoring, and reproducibility for model deployment. • Conduct bias testing and ensure fairness in AI/ML applications. • Communicate insights and model outputs effectively to technical and non-technical stakeholders. • Stay current with industry trends, emerging technologies, and best practices in data science, ML, and AI. Candidates should have: • Bachelor’s or Master’s degree in Statistics, Mathematics, Computer Science, or related quantitative fields. • 4–5+ years of experience in data science, preferably in fast-paced or high-impact environments. • Advanced Python programming skills (pandas, scikit-learn, PySpark) and SQL proficiency. • Experience in building, tuning, and evaluating ML models, with strong understanding of evaluation metrics. • Expertise in LLMs, embeddings, vector search, and agentic AI (LangGraph experience preferred). • Familiarity with multi-modal AI models and prompt engineering techniques. • Experience translating business requirements into modeling tasks with clear documentation. • Cross-functional collaboration experience and Agile project exposure. • Knowledge of model deployment, monitoring, and MLOps practices. • Strong problem-solving, analytical, and communication skills. This role offers: • Competitive salary range of $99,500 – $129,500 USD per year. • Performance-based incentives as part of the total compensation package. • Comprehensive medical, dental, and vision coverage. • HSA contribution and match, dependent care FSA match. • Uncapped paid time off and paid parental leave. • 401(k) match and financial wellness programs. • Education support, tuition assistance, and ongoing learning opportunities. • Gym/fitness reimbursement and wellness program incentives. • Fully remote work flexibility. 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 Apply tot his job