Data Scientist – GenAI Engineering

Job Title: Data Scientist – GenAI Engineering Job Type: Contract (W2) Start Date: ASAP Duration: 6 Months (with potential for extension) Work Location: Remote (US-based candidates only) Work Schedule/Hours: Monday-Friday, 8 hours per day (standard business hours) Compensation: $65.00 to $70.00 per hour NOTE: A pre-employment background check & drug screening will be required for this position. Overview: Our client is a global professional services organization supporting enterprise clients across technology, analytics, and digital transformation initiatives. This role sits within a data science and AI delivery team focused on advanced GenAI engineering and data-driven solution development for large-scale business problems. The Data Scientist – GenAI Engineering will be responsible for analyzing large and complex datasets, developing machine learning models, and building generative AI-enabled solutions to support business decision-making. This role requires strong technical expertise in data science, machine learning, and GenAI engineering, along with the ability to translate data insights into actionable business outcomes. The ideal candidate is highly analytical, detail-oriented, and experienced in building scalable AI/ML solutions in enterprise environments. Responsibilities: • Collect, process, and analyze large structured and unstructured datasets to identify trends, patterns, and actionable insights. • Develop, train, and deploy machine learning and GenAI models to solve complex business problems. • Design and implement generative AI engineering solutions aligned with enterprise use cases. • Build data visualizations, dashboards, and reporting tools to communicate insights to stakeholders. • Collaborate with cross-functional teams to define data requirements and deliver analytical solutions. • Perform data validation, cleansing, and quality assurance to ensure accuracy and integrity of datasets. • Translate business problems into data science and AI-driven solution approaches. • Support experimentation, model evaluation, and performance optimization of ML/AI systems. • Document methodologies, model logic, and analytical findings for stakeholder and technical audiences. Required Qualifications: • High school diploma (or GED) required. • 5 to 10 years of experience in data science, machine learning, and/or AI engineering. • Strong hands-on experience in GenAI engineering (primary skill requirement). • Experience working with large-scale datasets and advanced analytics techniques. • Proven experience developing and implementing machine learning models and algorithms. • Strong understanding of data preprocessing, feature engineering, and model evaluation. • Experience building dashboards and data visualizations for business stakeholders. • Strong programming skills (Python and/or related data science languages assumed). • Experience ensuring data quality, integrity, and validation processes. • Strong problem-solving, communication, and stakeholder collaboration skills. Preferred Qualifications: • A bachelor's (or advanced) degree in a relevant field of study. • Experience working in consulting or enterprise client-facing environments. • Experience with cloud-based data platforms (AWS, Azure, or GCP). • Experience with modern GenAI frameworks and tools (e.g., LLMs, prompt engineering, RAG systems). • Experience with BI tools such as Power BI or Tableau. • Experience deploying models into production environments. • Strong understanding of statistical modeling and experimental design. • Background in regulated or enterprise-scale industries.