1

Manager Causal Inference Jobs in Tennessee (NOW HIRING)

... optimization, causal inference, and experimentation to solve high-value business problems ... Work with the IT Data Engineering team to integrate data from multiple sources including CRM, ERP, ...

Manager Causal Inference information

How does a Manager of Causal Inference typically collaborate with cross-functional teams to drive impactful business insights?

Managers of Causal Inference frequently work alongside data scientists, product managers, engineers, and business leaders to design and execute experiments that reveal the true impact of business decisions. They translate complex statistical findings into actionable recommendations, ensuring stakeholders understand both the methodology and implications. Regularly, they lead discussions on experiment design, data collection strategies, and result interpretation, fostering a culture of evidence-based decision-making across the organization.

What does a Manager Causal Inference do?

A Manager Causal Inference leads teams that analyze data to determine cause-and-effect relationships, often in business, healthcare, or technology settings. They design experiments or use statistical methods to understand how different factors influence outcomes, helping organizations make data-driven decisions. This role typically involves managing projects, overseeing analysts or data scientists, and communicating findings to stakeholders. Strong expertise in statistics, data analysis, and leadership is essential for success in this position.

What are the key skills and qualifications needed to thrive as a Manager of Causal Inference, and why are they important?

To thrive as a Manager of Causal Inference, you need a deep understanding of statistics, econometrics, and experimental design, typically supported by an advanced degree in a quantitative field. Proficiency with data analysis tools such as R, Python, SQL, and specialized causal inference libraries, along with experience using data visualization and project management platforms, is crucial. Strong leadership, communication, and critical thinking skills help you effectively guide teams and translate complex findings to stakeholders. These skills ensure rigorous, actionable insights that drive strategic decision-making and organizational impact.
What are the most commonly searched types of Causal Inference jobs in Tennessee? The most popular types of Causal Inference jobs in Tennessee are:
What are popular job titles related to Manager Causal Inference jobs in Tennessee? For Manager Causal Inference jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Manager Causal Inference jobs in Tennessee look for? The top searched job categories for Manager Causal Inference jobs in Tennessee are:
What cities in Tennessee are hiring for Manager Causal Inference jobs? Cities in Tennessee with the most Manager Causal Inference job openings:
senior manager, Data Science (Nashville, TN)

senior manager, Data Science (Nashville, TN)

Starbucks

Nashville, TN • On-site

Full-time

Posted 15 days ago


Starbucks rating

6.7

Company rating: 6.7 out of 10

Based on 3,576 frontline employees who took The Breakroom Quiz

3rd of 16 rated cafes


Job description

Job Summary:
Starbucks is a company known for celebrating coffee and fostering connections. They are seeking a Data Science Manager to lead a team of data scientists and analysts, focusing on building models and applying advanced analytics to solve business problems while ensuring best practices and scalability in insights and machine learning solutions.
Responsibilities:
• Lead and develop a high-performing team by coaching, creating development plans, and building a culture of strong execution, collaboration, and continuous learning.
• Drive end-to-end data science delivery from problem framing and data preparation through modeling, performance assessment, and operationalization of insights/models.
• Set and scale best practices across coding standards, version control, documentation, data security, and analytics/engineering practices—removing roadblocks and aligning cross-functional partners.
Qualifications:
Required:
• BA/BS (or equivalent experience)
• 5–7+ years of experience in data science, analytics, or a closely related field
• Proficiency with Python or R, SQL, and relational databases
• Working knowledge of machine learning/statistical techniques (e.g., regression, decision trees, classification, causal inference, clustering)
• Experience with cloud data/analytics solutions (e.g., Azure or AWS)
• Experience managing and coaching a team, with strong written/verbal communication skills and attention to detail
Preferred:
• MS in a quantitative field (e.g., Statistics, Math, Computer Science, Engineering, Economics, Psychology, Quantitative Social Science) or equivalent advanced experience
• 8+ years managing a small team (approximately 2–4 people) and developing technical talent
• Experience with production ML practices (shared codebases, package creation, repositories, SDLC best practices), plus distributed processing/modern platforms (e.g., Databricks or similar)
• Experience with hyperparameter tuning and ongoing model performance monitoring (measurement, drift, stability)
Company:
Starbucks is a restaurant chain that serves handcrafted ready-to-drink beverages, including coffee, tea, juices, and snack food items. Founded in 1971, the company is headquartered in Seattle, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Starbucks employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom