Senior Analytics & Predictive ML Lead

DIRECTV; Sioux Falls (SD); Remote; USD 106,000 - 159,000; Full time

Job summary

DIRECTV is seeking a Sr. Specialist, Advanced Analytics to lead end-to-end modeling initiatives, from problem framing to deployment, delivering measurable business outcomes.

You’ll own models like customer lifetime value, churn, propensity, and segmentation, and mentor peers. You’ll translate complex outputs for executive audiences, ensure governance, collaborate with data engineers, and stay current with Snowflake, SQL, and Databricks.

Qualifications

• Bachelor's degree in Statistics, Mathematics, Computer Science, Data Science, Economics, or a related quantitative field required; Master's degree or equivalent experience preferred.
• 3–5 years of progressive experience in statistical modeling, predictive analytics, or data science, with a demonstrated track record of independently delivering complex analytical solutions.
• Advanced, demonstrated expertise in machine learning algorithms (e.g., gradient boosting, random forests, clustering, survival analysis) and statistical modeling techniques.
• Expert-level proficiency in R and/or Python, with strong SQL skills; experience with cloud-based or enterprise analytical infrastructure strongly preferred.
• Proven experience building and deploying customer lifetime value, churn, and segmentation models in a production business environment.
• Strong business acumen with the demonstrated ability to translate complex analytical findings into strategic, actionable business recommendations.
• Excellent communication and presentation skills, with experience engaging senior business stakeholders and non-technical audiences.
• Demonstrated experience mentoring or informally leading junior analysts or team members.
• Experience with DIRECTV's (or similar) analytical infrastructure and tools is a plus.

Responsibilities

• Lead the full analytical project lifecycle — from problem framing and data exploration through model development, validation, deployment, and ongoing performance monitoring.
• Partner directly with business stakeholders and cross-functional leaders to identify high-value analytical opportunities, scope projects, and align modeling approaches with strategic business objectives.
• Translate complex statistical and machine learning outputs into clear, non-technical narratives and actionable recommendations for executive and business audiences.
• Proactively identify data quality issues, model drift, or emerging risks in production models and lead remediation efforts.
• Independently design, develop, and deploy advanced predictive and machine learning models with minimal oversight.
• Establish and maintain model governance practices, including documentation, validation standards, and monitoring frameworks to ensure models remain accurate and reliable in production.
• Mentor and coach junior and mid-level analysts on statistical techniques, coding best practices, model validation methods, and business communication skills.
• Lead or significantly contribute to large, cross-team analytical initiatives, often coordinating work across multiple contributors and stakeholders.
• Stay current on emerging SnowFlake, SQL, Databricks, emerging AI and machine learning techniques, tools, and industry best practices, and champion their adoption where relevant.
• Collaborate with data engineering and IT teams to ensure analytical infrastructure, data pipelines, and tooling support scalable model development and deployment.
• Present findings, methodologies, and business impact to senior leadership and various cross-functional partners.

Skills

Statistical modeling

Machine learning

SQL

Python

R

Stakeholder communication

Education

Bachelor's degree in Statistics/Mathematics/Computer Science

Tools

Snowflake

Databricks

Job description

DIRECTV is seeking a Sr. Specialist, Advanced Analytics to lead end-to-end modeling initiatives, from problem framing to deployment, delivering measurable business outcomes.

You’ll own models like customer lifetime value, churn, propensity, and segmentation, and mentor peers. You’ll translate complex outputs for executive audiences, ensure governance, collaborate with data engineers, and stay current with Snowflake, SQL, and Databricks.