Senior Data Scientist

Senior Data Scientist page is loaded## Senior Data Scientist locations:
Dallas, TXtime type:
Full time posted on:
Posted Yesterday job requisition :
JR3858

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.
** Key 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, Tensor Flow, 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
** Tensor Flow**.
* 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.
** Experience**
* ** 4-6 years of experience
** in data analytics preferably in insurance, financial…