Senior Data Scientist

Integrity Marketing Group • Dallas, TX

11h

About The Position

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.

Requirements

• 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.).
• 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.
• 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.
• Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related quantitative field.

Nice To Haves

• Master’s or Ph.D. preferred.

Responsibilities

• 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.
• 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.
• 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.
• 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.
• 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.

Benefits

• Integrity offers our people a competitive compensation package, including benefits that make work more fun and give you and your family peace of mind.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 251-500 employees