Über
We are seeking a highly skilled and experienced professional to join our team as a Data Scientist. This role involves leading a team of data scientists to deliver AI and ML solutions for marketing and business engagement use cases. The position requires a strong background in data science, machine learning, and business analytics, particularly within the insurance or financial industry. Required Skills & Qualifications
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. Statistical Knowledge: A strong understanding of statistics and mathematics is essential for data analysis and prediction. Use predictive modeling or AI solutions to increase and optimize customer experience/communication, revenue generation, ad targeting, and other business outcomes. Very good presentation skills to present results clearly and effectively by creating presentations with storytelling, visualizations & results. Very good problem solver and excellent communication skills - both written and verbal. Prior work experience at client or in client's Industry. Applicants must be able to work directly for Artech on W2. Day-to-Day Responsibilities
Lead the solution and a team of data scientists delivering AI and ML solutions for marketing and business engagement use cases. Accountability for technical decisions, project outcomes, timelines, and production stability within a defined domain. Lead the planning and execution of data science use cases, ensuring alignment with business goals and objectives. 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). 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. Company Benefits & Culture
Competitive salary and performance-based bonuses. Comprehensive health, dental, and vision insurance plans. Opportunities for professional development and continuous learning.
Sprachkenntnisse
- English
Hinweis für Nutzer
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