Experience in time-series forecasting, causal inference, feature engineering, and advanced data ... Excellent analytical, communication, and stakeholder management skills. Roles & Responsibilities
Experience in time-series forecasting, causal inference, feature engineering, and advanced data ... Excellent analytical, communication, and stakeholder management skills. Roles & Responsibilities
Experience in time-series forecasting, causal inference, feature engineering, and advanced data ... Excellent analytical, communication, and stakeholder management skills. Roles & Responsibilities
Experience in time-series forecasting, causal inference, feature engineering, and advanced data ... Excellent analytical, communication, and stakeholder management skills. Roles & Responsibilities
Data Scientist
Balch Springs, TX · On-site
Experience in time-series forecasting, causal inference, feature engineering, and advanced data ... Excellent analytical, communication, and stakeholder management skills. Roles & Responsibilities
Data Scientist
Balch Springs, TX · On-site
Experience in time-series forecasting, causal inference, feature engineering, and advanced data ... Excellent analytical, communication, and stakeholder management skills. Roles & Responsibilities
Data Scientist
Duncanville, TX · On-site
Experience in time-series forecasting, causal inference, feature engineering, and advanced data ... Excellent analytical, communication, and stakeholder management skills. Roles & Responsibilities
Data Scientist
Duncanville, TX · On-site
Experience in time-series forecasting, causal inference, feature engineering, and advanced data ... Excellent analytical, communication, and stakeholder management skills. Roles & Responsibilities
Experience in time-series forecasting, causal inference, feature engineering, and advanced data ... Excellent analytical, communication, and stakeholder management skills. Roles & Responsibilities
Experience in time-series forecasting, causal inference, feature engineering, and advanced data ... Excellent analytical, communication, and stakeholder management skills. Roles & Responsibilities
Experience in time-series forecasting, causal inference, feature engineering, and advanced data ... Excellent analytical, communication, and stakeholder management skills. Roles & Responsibilities
Experience in time-series forecasting, causal inference, feature engineering, and advanced data ... Excellent analytical, communication, and stakeholder management skills. Roles & Responsibilities
Experience in time-series forecasting, causal inference, feature engineering, and advanced data ... Excellent analytical, communication, and stakeholder management skills. Roles & Responsibilities
Experience in time-series forecasting, causal inference, feature engineering, and advanced data ... Excellent analytical, communication, and stakeholder management skills. Roles & Responsibilities
Senior AI/ML Ops Engineer - Data & Reporting, Onsite - 69702
Austin, TX · On-site
$105K - $142K/yr
... Prompt Management, Model Routing, A/B Testing, Experimentation, Causal Inference, Knowledge Graphs, Monitoring, Alerting, Incident Response, RCA, and Production Observability. For immediate ...
New
Senior AI/ML Ops Engineer - Data & Reporting, Onsite - 69702
Austin, TX · On-site
$105K - $142K/yr
... Prompt Management, Model Routing, A/B Testing, Experimentation, Causal Inference, Knowledge Graphs, Monitoring, Alerting, Incident Response, RCA, and Production Observability. For immediate ...
New
... system management in decision-making. Develops, implements, and monitors reporting and analysis ... Applying modern statistical and causal-inference methods including time-to-event models ...
... system management in decision-making. Develops, implements, and monitors reporting and analysis ... Applying modern statistical and causal-inference methods including time-to-event models ...
... system management in decision-making. Develops, implements, and monitors reporting and analysis ... Applying modern statistical and causal-inference methods including time-to-event models ...
... system management in decision-making. Develops, implements, and monitors reporting and analysis ... Applying modern statistical and causal-inference methods including time-to-event models ...
... system management in decision-making. Develops, implements, and monitors reporting and analysis ... Applying modern statistical and causal-inference methods including time-to-event models ...
... system management in decision-making. Develops, implements, and monitors reporting and analysis ... Applying modern statistical and causal-inference methods including time-to-event models ...
... system management in decision-making. Develops, implements, and monitors reporting and analysis ... Applying modern statistical and causal-inference methods including time-to-event models ...
... system management in decision-making. Develops, implements, and monitors reporting and analysis ... Applying modern statistical and causal-inference methods including time-to-event models ...
Researcher, Kinder Institute for Urban Research
Houston, TX · Hybrid
$80K - $83K/yr
The ideal candidate has expertise in managing complex administrative datasets and applying advanced statistical methods-such as causal inference and quasi-experimental research designs-to answer ...
Researcher, Kinder Institute for Urban Research
Houston, TX · Hybrid
$80K - $83K/yr
The ideal candidate has expertise in managing complex administrative datasets and applying advanced statistical methods-such as causal inference and quasi-experimental research designs-to answer ...
Researcher, Kinder Institute for Urban Research
Houston, TX · On-site
$80K - $83K/yr
The ideal candidate has expertise in managing complex administrative datasets and applying advanced statistical methods-such as causal inference and quasi-experimental research designs-to answer ...
Researcher, Kinder Institute for Urban Research
Houston, TX · On-site
$80K - $83K/yr
The ideal candidate has expertise in managing complex administrative datasets and applying advanced statistical methods-such as causal inference and quasi-experimental research designs-to answer ...
Senior Data Scientist
Austin, TX · On-site +1
Medical
Dental
Vision
Retirement
PTO
Apply causal inference techniques (geo experiments, synthetic control, diff-in-diff, CausalImpact ... event data, CRM) and partner with data engineering to improve our data models where needed
Senior Data Scientist
Austin, TX · On-site +1
Medical
Dental
Vision
Retirement
PTO
Apply causal inference techniques (geo experiments, synthetic control, diff-in-diff, CausalImpact ... event data, CRM) and partner with data engineering to improve our data models where needed
Senior Data Scientist
Medical
Dental
Vision
Retirement
PTO
Apply causal inference techniques (geo experiments, synthetic control, diff-in-diff, CausalImpact ... event data, CRM) and partner with data engineering to improve our data models where needed
Senior Data Scientist
Medical
Dental
Vision
Retirement
PTO
Apply causal inference techniques (geo experiments, synthetic control, diff-in-diff, CausalImpact ... event data, CRM) and partner with data engineering to improve our data models where needed
Machine Learning Scientist III - Package Pricing
Austin, TX · On-site
$220K/yr
Medical
Dental
Vision
PTO
... managers, and operations analysts. You will contribute to an area of active scientific research: causal inference, mixed integer programming, and ML-based demand estimation. In this role, you will:
Machine Learning Scientist III - Package Pricing
Austin, TX · On-site
$220K/yr
Medical
Dental
Vision
PTO
... managers, and operations analysts. You will contribute to an area of active scientific research: causal inference, mixed integer programming, and ML-based demand estimation. In this role, you will:
Gen AI Lead
Dallas, TX · On-site
$138K - $170K/yr
AI, Causal Inference, Time series analysis, Forecasting, Anomaly detection, Hypothesis testing, A/B ... Management, Care areas for CSPs. * Knowledge on data integration for telecom industry B/OSS COTS ...
Quick apply
Gen AI Lead
Dallas, TX · On-site
$138K - $170K/yr
AI, Causal Inference, Time series analysis, Forecasting, Anomaly detection, Hypothesis testing, A/B ... Management, Care areas for CSPs. * Knowledge on data integration for telecom industry B/OSS COTS ...
... management system across all sales programs, and the real-time visibility layer that surfaces ... causal inference, experimentation platforms, or uplift modeling Experience building or leading ...
... management system across all sales programs, and the real-time visibility layer that surfaces ... causal inference, experimentation platforms, or uplift modeling Experience building or leading ...
... causal inference, and statistical analysis Experience working with large-scale data pipelines and production-level analytics systems Proven ability to drive measurable business impact through data ...
... causal inference, and statistical analysis Experience working with large-scale data pipelines and production-level analytics systems Proven ability to drive measurable business impact through data ...
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 Texas?
The most popular types of Causal Inference jobs in Texas are:
What are popular job titles related to Manager Causal Inference jobs in Texas?
For Manager Causal Inference jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Manager Causal Inference jobs in Texas look for?
The top searched job categories for Manager Causal Inference jobs in Texas are:
What cities in Texas are hiring for Manager Causal Inference jobs?
Cities in Texas with the most Manager Causal Inference job openings:
Job description
Required Skills
- 10+ years of hands-on experience in Applied Data Science, Analytics Engineering, and Systems Modeling.
- 5+ years of client-facing, consulting, or business development experience delivering analytics solutions.
- Expertise in statistical modeling, machine learning, and predictive analytics.
- Strong proficiency with Python, scikit-learn, statsmodels, PyTorch, and TensorFlow.
- Experience in time-series forecasting, causal inference, feature engineering, and advanced data sampling/resampling techniques.
- Strong expertise in geospatial analytics and LiDAR data processing.
- Hands-on experience with ArcGIS, PostGIS, GeoPandas, GDAL/OGR, PDAL, and related geospatial libraries.
- Experience working with vector, raster, point-cloud, and sensor datasets.
- Excellent analytical, communication, and stakeholder management skills.
- Design and develop advanced machine learning and statistical models to solve complex business problems.
- Build predictive models, time-series forecasting solutions, and causal inference frameworks.
- Perform feature engineering, data preparation, and advanced sampling techniques for large-scale datasets.
- Develop geospatial analytics and LiDAR processing solutions using industry-standard tools and libraries.
- Analyze vector, raster, point-cloud, and sensor data to generate actionable insights.
- Partner with business stakeholders to scope, design, and deliver data science solutions.
- Present analytical findings and recommendations to technical and business audiences.
- Optimize model performance, scalability, and deployment in production environments.
- Mentor data scientists and promote best practices in analytics and machine learning.
- Support innovation initiatives through advanced analytics and AI-driven solutions.
About Techvilla Solutions
Sourced by ZipRecruiter
Industry
It services
Company size
51 - 200 Employees
Headquarters location
CA, US
Year founded
2006