Senior Data Scientist

Responsibilities

• Data Science & Advanced Analytics
• Develop, enhance, and operationalize machine learning models and advanced statistical solutions to support a wide range of business initiatives.
• Support segmentation, agent lifecycle analytics, and acquisition modeling as part of a broader portfolio of initiatives.
• Apply predictive methods to understand behavior, performance, and engagement across customer and agent populations.
• Utilize leading ML libraries and frameworks, including scikit-learn, TensorFlow, and others.
• Business Insight & Strategy
• Partner with stakeholders across Operations, Marketing, Sales, Product, Distribution, and other business teams to deeply understand challenges and identify analytical opportunities.
• Translate complex analytical findings into clear, compelling, and actionable recommendations for both technical and non-technical audiences.
• Support strategic decision-making with predictive models, scenario analysis, and ROI assessments.
• Data engineering & Technical Execution
• Extract, clean, transform, and structure large datasets using SQL, Python, and cloud-based tools.
• Develop scalable analytics pipelines and reusable analytical assets.
• Collaborate with data science and engineering partners to influence data architecture, improve data capture, and enhance data quality.
• Cross-Functional Collaboration
• Serve as a subject matter expert in data science methodologies and best practices.
• Provide mentorship to analysts, data scientists, and cross-functional team members.
• Work closely with other analytics teams to align on methodologies, share knowledge, and ensure consistency across the organization.
• Contribute to the development of analytical standards, frameworks, and tools.
• Domain Analytics (Beyond Segmentation & Acquisition)
• Support segmentation, agent lifecycle analytics, and acquisition modeling as part of a broader portfolio of initiatives.
• Apply predictive methods to understand behavior, performance, and engagement across customer and agent populations.
• Deliver insights that guide strategic growth, operational efficiency, and business planning.
• Technical Skills
• Expertise in machine learning algorithms , including in‑memory processing (e.g., Pandas, PySpark, Dask) and ML frameworks such as scikit‑learn and TensorFlow .
• Strong Python or R skills for machine learning, statistical analysis, and automation.
• Proficiency in SQL for working with large-scale relational data.
• Experience with cloud platforms such as Snowflake, Azure, AWS, or GCP.
• Familiarity with modern data science workflows, feature engineering, MLOps concepts, and model lifecycle best practices.
• Experience building dashboards and interactive analytical tools (Power BI, Tableau, etc.).
• Business & Soft Skills
• Ability to convert technical analytics outputs into business-friendly insights and recommendations.
• Strong communication and data storytelling skills, including experience presenting to leadership.
• Collaborative mindset and ability to work closely with non-technical stakeholders.
• Strategic thinker with strong problem‑solving and critical reasoning capabilities.
• Comfort operating in fast-paced, dynamic environments.

Requirements

• 4-6 years of experience in data analytics preferably in insurance, financial services, agent‑driven businesses, or other data-rich industries.
• Prior work in acquisition analytics, segmentation, marketing science, or customer/agent lifecycle analytics.
• Familiarity with CRM systems, lead management tools, or marketing automation platforms.
• Understanding of acquisition funnel analytics, lead scoring, and conversion tracking.
• Education
• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
• Master's or Ph.D. preferred.
• About Integrity
• Integrity offers you the opportunity to start a career in a family-like environment that is rewarding and cutting edge. Why? Because we put our people first! At Integrity, you can start a new career path at compan

Benefits

Additional Information

We are looking for a highly skilled and motivated Sr. Data Scientist to join our Business Intelligence & Analytics team. In this role, you will serve as a key contributor in leveraging data, advanced analytics, and machine learning to solve high‑impact business challenges across Integrity. The ideal candidate is highly analytical, curious, collaborative, and proactive-someone who seeks out challenges, develops innovative analytical solutions, and communicates insights in ways that influence decision-making. This role requires both technical excellence and strong business acumen, with the ability to translate complex data into actionable recommendations.

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