Data Scientist

Job Overview: Pay Range: $65.00hr - $70.00hr Requirement/Must Have: Bachelor's or master's degree in computer science, Data Science, Engineering, Mathematics, or a related field. 8+ years of overall experience in AI/ML engineering and/or data science. 5+ years of insurance business and/or financial industry experience with sales, marketing, and/or customer engagement analytics. Proven experience designing, deploying, and operating production ML and/or GenAI solutions, including APIs, batch, and real-time inference. Experience in developing Machine Learning models using Python (preferably in the cloud). Familiarity with best practices for responsible AI, including data privacy, bias mitigation, and/or model monitoring. Strong SQL knowledge and data analysis skills for data anomaly detection and Exploratory Data Analysis. Experience with Dominos, Power BI, and/or Azure ML. Strong understanding of statistics and mathematics for data analysis and prediction. Ability to use predictive modeling or AI solutions to increase and optimize customer experience/communication, revenue generation, ad targeting, and other business outcomes. Excellent communication and presentation skills to present results clearly and effectively by creating presentations with storytelling, visualizations, and results. Strong problem-solving skills and ability to communicate effectively with stakeholders. Responsibilities: Take accountability for technical decisions, project outcomes, timelines, and production stability within a defined domain. Design, train, and optimize machine learning and deep learning models for a variety of marketing and business engagement use cases. Analyze complex data sets to identify trends, patterns, and actionable insights that can inform business strategies. Collaborate with stakeholders and cross-functional teams to develop and implement data-driven solutions. Enable seamless integration of AI capabilities into business applications and workflows through APIs, SDKs, and microservices. Visualize data, create reports, and present findings to senior management and cross-functional teams. Develop statistical models, analytics, and Machine Learning algorithms using Python and cloud tools (Azure). Research and stay up to date with the latest advances in AI, Data Science, and Machine Learning. Optimize platform components for efficiency, scalability, and reliability using best practices in distributed computing, resource management, and cloud-native architectures. Skills: Machine Learning. Artificial Intelligence. Python. SQL. GenAI. Azure ML. Power BI. Dominos. Predictive Modeling. ML-Ops. Data Analysis. Statistics. Qualification And Education: Bachelor's or master's degree in computer science, Data Science, Engineering, Mathematics, or a related field. Benefits Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.