Sr Data Scientist I - (AI Focus)

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Sr Data Scientist I - (AI Focus) in the United States. This role sits at the intersection of advanced analytics, artificial intelligence, and business strategy, focusing on building and deploying innovative AI-driven solutions that directly impact decision-making and operational performance. You will work on a wide spectrum of AI applications, including generative AI, agentic systems, and traditional machine learning models, translating complex data into actionable insights. The position requires strong collaboration with cross-functional teams to identify business opportunities and design scalable data science solutions. You will also contribute to model deployment, optimization, and lifecycle management in production environments. In addition, the role involves research-oriented work, exploring emerging AI methodologies and applying them to real-world challenges. This is a high-impact position where technical depth meets strategic influence in a dynamic, data-driven environment. Accountabilities • Develop, implement, and maintain machine learning, generative AI, and agentic AI models to solve complex business problems. • Analyze large structured and unstructured datasets to extract insights, identify patterns, and support strategic decision-making. • Design and evaluate statistical and predictive models, ensuring robustness, accuracy, and business relevance. • Integrate foundational and advanced AI models (including LLMs) into production pipelines and scalable systems. • Collaborate closely with business stakeholders and data teams to translate requirements into analytical and AI-driven solutions. • Conduct model testing, validation, tuning, and performance evaluation to ensure optimal results and reliability. • Support deployment and operationalization of machine learning solutions using modern data and cloud platforms. • Mentor and guide junior data scientists, reviewing work and supporting technical growth within the team. • Contribute to research and experimentation with emerging AI techniques to advance organizational capabilities. Requirements • Bachelor’s degree in a quantitative field (Computer Science, Mathematics, Statistics, Engineering, or related); Master’s or PhD preferred. • 6+ years of experience in data science, machine learning, or predictive modeling (advanced degrees may offset experience). • Strong expertise in statistics, optimization, machine learning theory, and quantitative modeling techniques. • Proven hands-on experience with Generative AI, Agentic AI, and large language models (LLMs), including prompt engineering and integration. • Advanced programming skills in Python, R, SAS, or SQL. • Experience with ML frameworks such as TensorFlow, PyTorch, Scikit-learn, or Keras. • Strong ability to lead end-to-end data science projects from model design through deployment. • Experience working with large-scale datasets and distributed computing tools such as Spark and cloud platforms (AWS or Azure). • Familiarity with modern data platforms such as Databricks, SageMaker, or Snowflake is a plus. • Strong communication skills, intellectual curiosity, and a proactive, problem-solving mindset. Benefits • Competitive annual salary ($127,000 - $150,000). • Eligibility for annual bonus programs based on performance. • Flexible Time Off (FTO) with no fixed accrual limits. • Hybrid and remote work options depending on location eligibility. • Comprehensive health, financial, and wellness benefits. • Retirement and pension plan eligibility. • Career development and continuous learning opportunities. • Inclusive and flexible work environment supporting work-life balance. • Exposure to cutting-edge AI, machine learning, and data science projects at scale. How Jobgether Works We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.