Data Scientist

Data Scientist

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.

Preferred Skills & Qualifications

• Experience with employee benefits plans is a plus.
• Hands-on experience with cloud platforms (Azure/Databricks).
• Hands-on expertise with Retrieval-Augmented Generation (RAG) architectures, including integrating external data sources and vector databases to enhance LLM outputs.
• Strong understanding of prompt engineering, fine-tuning, and evaluation of generative models for real-world applications.
• Ability to build, optimize, and scale GenAI pipelines for tasks such as document Q&A, summarization, chatbots, and knowledge retrieval.

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.