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We're looking for an experienced Data Scientist with GenAI expertise to build and deploy machine learning solutions that drive business impact. Key Responsibilities Design and deploy predictive models and Generative AI solutions in production Conduct data analysis to identify business insights and trends Build real-time ML systems with MLOps best practices Implement LLMs, prompt engineering, and RAG systems Mentor junior team members and collaborate with stakeholders Create visualizations and reports for technical and business audiences Required Skills Technical Requirements Experience: 5+ years in data science with production ML deployment Programming: Expert Python, SQL, and data libraries (Pandas, NumPy, Scikit-learn) Databases: MongoDB and other NoSQL databases Big Data: Apache Spark, Databricks MLOps: Model deployment, monitoring, CI/CD pipelines GenAI: LLMs, fine-tuning, prompt engineering, multimodal AI Frameworks: TensorFlow, PyTorch Education Master's degree in Data Science, Computer Science, Statistics, or related field Nice to Have Cloud platforms (AWS, Google Cloud, Azure) Document Processing & OCR: Experience with document AI, OCR technologies (Tesseract, AWS Textract, Google Document AI), and automated document understanding Vector databases and embedding systems Containerization (Docker, Kubernetes) Data visualization tools (Tableau, Power BI) What You'll Bring Strong analytical and problem-solving skills Excellent communication abilities Collaborative mindset and mentoring experience Ability to work in fast-paced environments Passion for staying current with AI/ML trends ##LI-DNIWe're looking for an experienced Data Scientist with GenAI expertise to build and deploy machine learning solutions that drive business impact. Key Responsibilities Design and deploy predictive models and Generative AI solutions in production Conduct data analysis to identify business insights and trends Build real-time ML systems with MLOps best practices Implement LLMs, prompt engineering, and RAG systems Mentor junior team members and collaborate with stakeholders Create visualizations and reports for technical and business audiences Required Skills Technical Requirements Experience: 5+ years in data science with production ML deployment Programming: Expert Python, SQL, and data libraries (Pandas, NumPy, Scikit-learn) Databases: MongoDB and other NoSQL databases Big Data: Apache Spark, Databricks MLOps: Model deployment, monitoring, CI/CD pipelines GenAI: LLMs, fine-tuning, prompt engineering, multimodal AI Frameworks: TensorFlow, PyTorch Education Master's degree in Data Science, Computer Science, Statistics, or related field Nice to Have Cloud platforms (AWS, Google Cloud, Azure) Document Processing & OCR: Experience with document AI, OCR technologies (Tesseract, AWS Textract, Google Document AI), and automated document understanding Vector databases and embedding systems Containerization (Docker, Kubernetes) Data visualization tools (Tableau, Power BI) What You'll Bring Strong analytical and problem-solving skills Excellent communication abilities Collaborative mindset and mentoring experience Ability to work in fast-paced environments Passion for staying current with AI/ML trends
A little about ADP: We are a comprehensive global provider of cloud-based human capital management (HCM) solutions that unite HR, payroll, talent, time, tax and benefits administration and a leader in business outsourcing services, analytics, and compliance expertise. We believe our people make all the difference in cultivating a down-to-earth culture that embraces our core values, welcomes ideas, encourages innovation, and values belonging. We've received recognition for our work by many esteemed organizations, learn more at ADP Awards and Recognition.
Diversity, Equity, Inclusion & Equal Employment Opportunity at ADP: ADP is committed to an inclusive, diverse and equitable workplace, and is further committed to providing equal employment opportunities regardless of any protected characteristic including: race, color, genetic information, creed, national origin, religion, sex, affectional or sexual orientation, gender identity or expression, lawful alien status, ancestry, age, marital status, protected veteran status or disability. Hiring decisions are based upon ADP’s operating needs, and applicant merit including, but not limited to, qualifications, experience, ability, availability, cooperation, and job performance.
Ethics at ADP: ADP has a long, proud history of conducting business with the highest ethical standards and full compliance with all applicable laws. We also expect our people to uphold our values with the highest level of integrity and behave in a manner that fosters an honest and respectful workplace. Click https://jobs.adp.com/life-at-adp/ to learn more about ADP’s culture and our full set of values.
