Job Description
The Senior Data Scientist will lead the strategy, design, and implementation of advanced analytics solutions across AI, ML, and Generative AI (GenAI) domains. This role involves end-to-end ownership of data science initiatives, from ideation to production, and requires deep technical expertise, strategic thinking, and cross-functional collaboration to drive innovation and business impact.
________________________________________
Key Responsibilities:
• Lead discovery sessions with business stakeholders to identify opportunities for data science applications.
• Own the full lifecycle of AI/ML/GenAI projects—from problem definition and experimentation to deployment and monitoring.
• Design and conduct statistical experiments, perform hypothesis testing, and generate actionable insights.
• Build and deploy ML-enabled products using techniques such as classification, clustering, regression, NLP, time series forecasting, and boosting.
• Develop deep learning models using TensorFlow, PyTorch, and Keras.
• Build and deploy GenAI solutions using LLMs, vector databases, API integrations, and observability tools.
• Implement MLOps and LLMOps practices to automate pipelines and scale enterprise-grade solutions on cloud platforms.
• Collaborate with Data Engineers to enhance data infrastructure and ensure scalable data processing.
• Establish and promote best practices in modeling, automation, and solution design.
• Communicate findings and recommendations effectively to both technical and non-technical audiences.
• Lead cross-functional teams and manage multiple initiatives simultaneously.
• Drive strategic planning and influence decision-making across the organization.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Required Skills & Experience
• 8–12+ years of experience in Digital, Data, Analytics, or Statistics.
• 7+ years of hands-on experience in Applied AI/ML and Data Science.
• Proven experience with large, complex datasets and ML product development.
• Expertise in statistical modeling and machine learning techniques.
• Proficiency with distributed computing tools (e.g., Azure Databricks, Spark, MySQL).
• Experience with GenAI tools and frameworks, including LLM deployment and monitoring.
• Strong understanding of MLOps/LLMOps practices and cloud-based deployment.
• Excellent communication, presentation, and interpersonal skills.
• Demonstrated leadership in managing complex systems and driving data-driven change.
• Strong time management and attention to detail in managing data-intensive projects.
Nice to Have Skills & Experience
• Advanced degree (MS/PhD) in Data Science, Computer Science, Statistics, or related field.
• Experience in strategic planning and stakeholder engagement.
• Familiarity with enterprise-scale AI/ML applications and governance.
Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.