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Manager Causal Inference Jobs in Kentucky (NOW HIRING)

$98 - $158/hr

... causal inference, to gain insights, optimize, and generate measurable business value.* Become ... with the technical project leader, manager, and business partners.**What You Will Have:

Head of Data Science

London, KY · On-site

$128.45 - $148.73/hr

... manage their entire operations with an intuitive business software and financial technology ... A/B testing infrastructure, causal inference, automated experimentation for optimisations * Build ...

$100 - $140/hr

... manage, and optimize the best large language models across providers without lock-in, capacity ... You think in distributions, causal inference, and experimental design, not just averages and ...

New

$210 - $245/hr

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:

$76 - $130/hr

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 ...

... causal inference experimentation * Partner with our product, strategy, and research teams to ... hiring managers. Abridge will never ask for financial information or payment, or for personal ...

$180 - $270/hr

... managing the adversarial feedback loop to ensure high evasion-resistance and directly drive ... Deep experience with causal or econometric methods to model the business impact of false positives ...

$67 - $101/hr

Key Responsibilities Investigates product problems, understands causal mechanisms, recommends ... Obtains input from stakeholders such as technical managers, project leaders, other product and ...

Showing results 21-34

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:

$98 - $158/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago


Job description

## Data ScientistApplylocations: Chicago, Illinois: Peoria, Illinoistime type: Full timeposted on: Posted Todayjob requisition id: R0000386933**Career Area:**Technology, Digital and Data**Job Description:****Your Work Shapes the World at Caterpillar Inc.**When you join Caterpillar, you're joining a global team who cares not just about the work we do – but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here – we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.*Cat Digital is the digital and technology arm of Caterpillar Inc., leveraging the latest technologies to build industry leading digital solutions for our customers and dealers. With over 1.5 million connected assets worldwide, our teams use data, technology, advanced analytics, telematics and AI capabilities to help our customers build a better, more sustainable world.***Job Summary:**Advanced Diagnostics team within the Analytics & Applied AI department of Cat Digital is looking for a talented and motivated Data Scientist to help solve business challenges using advanced analytical methods. The Data Scientist will be tasked with enabling service experiences by collaborating with other Cat Digital and Global Service business teams to maximize the value extraction of our digital products and services. The Data Scientist will be part of a team using service offerings from fluids analysis data domain (oils and coolants from equipment), as well dealer, customer, and equipment information. Candidates for this position will be expected to exhibit strong technical and communication skills, an ability to explain complex concepts and draw conclusions, present to the analytics team and leadership and business partners, a penchant for innovation, strong initiative with an ability to work independently, and interpersonal and collaboration skills. **What You Will Do:*** Act as a technical individual contributor on a small multi-person analytics team with work directed by the technical project leader who reviews methods and results.* A blend of independent work and collaboration with the autonomy to lead specific tasks of the project while also working alongside team members for larger challenges.* Leverage existing expertise in data cleaning, analysis, quantitative analytic methods, and modeling to tackle complex issues.* Utilize various data science methods, such as machine learning, statistical modeling, and causal inference, to gain insights, optimize, and generate measurable business value.* Become familiar with the company’s processes, products, governance and organization.* Challenges include meeting expectations in delivering results, learning to refine solutions to better fit complex situations, making timely decisions, and communicating effectively with the technical project leader, manager, and business partners.**What You Will Have:*** **Analytical Thinking:** Extensive ability to determine the root cause of organizational problems and create alternative solutions that resolve these problems; Knowledge of techniques and tools that promote effective analysis.* **Data Cleaning, Analysis, and Preparation:** Working knowledge in conducting exploratory data analysis to extract meaningful patterns, trends, and insights from complex datasets, including data mining and cleaning initiatives and writing, debugging and implementing queries involving multiple tables or databases.* **Machine Learning**: Knowledge of principles, technologies and algorithms of machine learning; ability to develop, implement and deliver related systems, products and services. Experience completing specific tasks and initiatives utilizing machine learning technologies, such as classification, regression, or optimization and specific tools and techniques to process descriptive and inferential statistics.* **Programming Languages:** Experience and fluency with data querying languages (SQL), scripting languages (Python), and statistical/mathematical software packages.* **Collaboration & Effective Communication:** Experience working closely with cross-functional teams, providing data-driven insights and collaborating on projects to solve business challenges.**Considerations For Top Candidates:*** Bachelor's degree with 5+ years with proven technical data science experience or a Master's degree with 3+ years proven technical data science experience, preferably in statistics, applied mathematics, data science, analytics, engineering, computer science, or a similar field with quantitative coursework* Proven experience using: + Python for data analysis and modeling, including Jupyter Notebooks and common libraries & packages + Version control systems such as Git + Database technologies such as SQL and NoSQL + Processes large quantities of detailed information with high levels of accuracy* Practical experience with cloud computing and software development for building solutions in cloud environments (AWS, Snowflake, etc.)* Practical experience developing, deploying, and productionizing predictive and/or prescriptive analytics solutions and machine learning models* Experience with advanced data analysis and the application of machine learning and statistical techniques, including classification, regression, clustering, collaborative filtering, and hypothesis testing* Experience developing and implementing natural language processing (NLP) algorithms and models to extract insights from textual data, utilizing advanced text mining techniques* Strong technical and problem-solving skills with a focus on continual learning in the analytics field, demonstrating initiative to research and apply new methods to exceed customer expectations* Strong communication skills, with the ability to explain conclusions to technical leaders, managers, and business partners, and to collaborate effectively with team members* Experience operating in an Agile environment with ownership, initiative and the ability to complete tasks* Experience with API development to integrate with digital applications and extract and process data efficiently* Ability to work independently with strong attention to detail and a focus on delivering customer through business partner requirements* Demonstrated interest in understanding, experimenting with, or applying emerging AI and GenAI techniques to real-world data problems, with a willingness to continuously learn and adapt as the field evolves### ### **Summary Pay Range:**$97,530.00 - $158,480.00Compensation and benefits offered may vary depending on multiple individualized factors, job level, market location, job-related knowledge, skills, individual performance and experience. Please note that salary is only one component of total compensation at Caterpillar.**Benefits:**Subject to plan eligibility, terms, and guidelines. This is a summary list of benefits.* Medical, dental, and vision benefits\** Paid time off plan (Vacation, Holidays, Volunteer, etc.)\** 401(k) savings plans\** Health Savings Account (HSA)\** Flexible Spending Accounts (FSAs)\** Health Lifestyle Programs\** Employee Assistance Program\** Voluntary Benefits and Employee Discounts\** Career Development\** Incentive bonus\** Disability benefits* Life Insurance* Parental leave* Adoption benefits* Tuition Reimbursement \* These benefits also apply to part-time employees### ### ### Visa Sponsorship is not available for this position.**Posting Dates:**August 13, 2026 - August 23, 2026Any offer of employment is conditioned upon the successful completion of a drug screen.Caterpillar is an Equal Opportunity Employer, Including Veterans and Individuals with Disabilities. Qualified applicants of any age are encouraged to apply. #J-18808-Ljbffr