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Manager Causal Inference Jobs in Kentucky (NOW HIRING)

... for change management and collaborate with business leads, data stewards and power users to ... causal inference projects to measure the direct impact of product changes and model performance.

... manage multiple tasks, meet timelines, and work effectively in collaborative team environments ... Experience with causal inference methods (e.g., propensity score methods, weighting, marginal ...

Feature management and experimentation have converged into a single market, and the buying dynamic ... Deep, operator-level fluency in experimentation methodology: causal inference, variance reduction ...

Select and manage external vendors, academic collaborators, and CROs, holding them to timeline ... Working command of causal inference methods for observational data, including propensity score ...

Partner with product managers, engineers, and designers to validate hypotheses and guide feature ... Familiarity with systems thinking frameworks, causal inference, or econometric modeling

New

$111K - $222K/yr

Your solutions will impact tens of millions of customers, influencing how they manage their health ... Strong background in one or more of the following: reinforcement learning, causal inference ...

... management and observability platform that processes trillions of evaluations daily. This role sits ... Funnel analysis, causal inference, or Bayesian experimentation experience. Pay: Target pay ranges ...

$147K - $190K/yr

Design and analyze experiments and other tests for causal inference, in collaboration with engineers, applied scientists, and economists * Partner with product managers, designers, engineers, and ...

New

Job Category Software Engineering Job Details About Salesforce Salesforce is the #1 AI CRM, where ... causal inference, or operations research. You're proficient in Python and standard ML tooling (for ...

Additionally, we assist members with SNAP enrollment and management, providing tangible access to ... The technical bar here is causal inference and ROI methodology, not data engineering. You will:

You will collaborate with product ,managers, logistic operators and software engineers to turn ... and causal inference***** ****Strong Python skills with experience in libraries such as: pandas ...

$190K - $253K/yr

Partner closely with product management, design, and other engineering teams to build intuitive ... Background in experimentation or causal inference (Nice to have) Pay Range Transparency Databricks ...

Showing results 41-60

Manager Causal Inference information

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 causal inference?

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.

How does a manager 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 are the most commonly searched types of Causal Inference jobs in Kentucky?

The most popular types of Causal Inference jobs in Kentucky are:

What are popular job titles related to Manager Causal Inference jobs in Kentucky?

For Manager Causal Inference jobs in Kentucky, the most frequently searched job titles are:

What job categories do people searching Manager Causal Inference jobs in Kentucky look for?

The top searched job categories for Manager Causal Inference jobs in Kentucky are:

What cities in Kentucky are hiring for Manager Causal Inference jobs?

Cities in Kentucky with the most Manager Causal Inference job openings:

Skechers USA Ltd.
Retail • 10K+ employees

Other

Posted 25 days ago


Skechers rating

6.5

Company rating: 6.5 out of 10

Based on 177 frontline employees who took The Breakroom Quiz


Job description

## Data ScientistApplylocations: Manhattan Beach, CAtime type: Full timeposted on: Posted Todayjob requisition id: JR131647Job Description WHO WE ARE: Headquartered in Southern California, Skechers—the Comfort Technology Company—has spent over 30 years helping men, women, and kids everywhere look and feel good. Comfort innovation is at the core of everything we do, driving the development of stylish, high-quality products at a great value. From our diverse footwear collections to our expanding range of apparel and accessories, Skechers is a complete lifestyle brand. ABOUT THE ROLE: The Data Scientist will join our Data and Analytics team, reporting to Sr. Director, BI and Reporting. This role will focus on building advanced analytics solutions utilizing data science, AI and ML solutions and technology, building the intelligence that powers our core data products. The Data Scientist will be a hybrid professional who combines deep statistical rigor with an engineering first mindset, with a mission to translate complex business challenges into an end-to-end machine learning solution that can thrive in production. They will build, test and document new or improved data science applications and machine learning techniques, develop innovative analytic reports, maintain best practices for change management and collaborate with business leads, data stewards and power users to creatively solve real-life business problems utilizing large-scale data supporting all areas of our business.**WHAT YOU’LL DO:*** End to end ML development: Evaluate, implement, and improve machine learning techniques to solve real world problems and aid business decision making.* Contribute extensively to the full model development lifecycle, from ideation, analysis, model creation and operation.* Leverage large language models (LLMs) and RAG (retrieval augmented generation) frameworks to enhance data product reach and automate internal workflows.* Write production-grade, clean, maintainable, and scalable code for running experiments and proofs-of-concept. Collaborate with Data Engineers to build robust data pipelines and deploy models.* Monitor model drift and bias in production, ensuring our AI solutions remain ethical, accurate and high performing over time.* Lead Experimental Design, A/B testing and causal inference projects to measure the direct impact of product changes and model performance.* Translate model outputs into actionable business strategies for non-technical leadership, utilizing storytelling as a vehicle to make analytics & insight deliverables accessible and memorable.* Perform ad hoc analysis to uncover business insights and opportunities, exploring data to discover patterns, meaningful relationships, anomalies, and trends across different formats and platforms.* Employ quick prototyping to gather feedback and adjust to user asks in an agile fashion.* Follow best practices to build scalable enterprise BI and analytics solutions, ensuring data and reports are thoroughly tested before production release.* Document objectives and solutions in summary as well as technical details.* Collaborate with data and BI engineers, data product managers and business users to explore and create solutions for relevant business problems.**WHAT YOU’LL BRING:*** Proficiency with programming and data analysis using Python, Spark, and ML frameworks (NumPy, Pandas, Sci-kit Learn, XGBoost, TensorFlow, PyTorch).* Strong mathematical foundation in statistics, probability, optimization algorithms, linear algebra and AI technologies.* Working knowledge of statistical and machine learning techniques including classification, regression, clustering, and multivariate methods.* Expertise with relational data modeling and advanced SQL for data manipulation and performance optimization.* Experience working in an Agile/SCRUM environment* Strong problem-solving, analytical, and communication skills (written, verbal, and interpersonal).* Strong organizational skills, attention to detail, and ability to prioritize workload.* Professional presence with ability to take initiative, be creative, curious, and collaborative in a flexible, team-oriented environment.* Ability to independently conduct in-depth data analysis.**REQUIREMENTS:*** Bachelor's/Master's/Ph.D. in quantitative field (Computer Science, Statistics, Mathematics, Physics) or equivalent industry experience.* 3+ years in a professional data science role with proven track record of moving models from research to production* 5+ years experience in professional data science role with advanced analytics applications preferred.* Strong communication and presentation skills – ability to articulate technical challenges and solutions to diverse audiences.* Familiarity with retail, supply chain, digital & financial analysis, predictive analytics, and BI visualization toolsets.* Experience with DSML Automation platforms and MLOps tools.* Experience with Data Engineering/Cloud tools (Snowflake, BigQuery, AWS SageMaker), GenAI tools (Hugging Face, LangChain, LlamaIndex, OpenAI/Gemini APIs), and cloud-based BI and Analytics technologies.* Ability to work with minimal oversight while ensuring timely, accurate task completion.Pay range for this position is $95.000 – $130,000/year USD.**About Skechers**Skechers, a global Fortune 500 company, develops and markets a diverse range of lifestyle and performance footwear, apparel, and accessories. Serving over 180 countries and territories, Skechers connects customers to products through department and specialty stores, e-commerce and digital stores, and through our more than 5,300 Skechers retail locations.**Equal Employment Opportunity** Skechers is committed to providing a safe, inclusive, and respectful work environment. Skechers provides equal employment opportunities for all employees and applicants for employment without regard race, color, religion, gender, gender identification and expression, national origin, marital status, age, disability, genetic information, military status, sexual orientation, or any other protected characteristic established by local, state or federal law.**Reasonable Accommodation** Applicants for employment who require a reasonable accommodation to apply for a job should request appropriate accommodation by emailing benefits@skechers.com. To perform this job successfully, an individual must be able to perform each job responsibility satisfactorily. The skills, abilities and physical demands described are representative of those duties that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities, who are otherwise qualified for the job position, to perform the essential functions. #J-18808-Ljbffr

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