Duties: Apply statistical and machine learning methodologies, including causal inference ... Develop presentations to summarize and communicate key messages to senior management sponsors and ...
Duties: Apply statistical and machine learning methodologies, including causal inference ... Develop presentations to summarize and communicate key messages to senior management sponsors and ...
Duties: Apply statistical and machine learning methodologies, including causal inference ... Develop presentations to summarize and communicate key messages to senior management sponsors and ...
Duties: Apply statistical and machine learning methodologies, including causal inference ... Develop presentations to summarize and communicate key messages to senior management sponsors and ...
... causal inference basics). • Experience building classification/ranking/segmentation models and translating them into decision rules and routing strategies. • Proficiency in Python (and/or R) and ...
... causal inference basics). • Experience building classification/ranking/segmentation models and translating them into decision rules and routing strategies. • Proficiency in Python (and/or R) and ...
You will manage a team of three and own end-to-end delivery - from problem framing and ... causal inference basics). * Experience building classification/ranking/segmentation models and ...
You will manage a team of three and own end-to-end delivery - from problem framing and ... causal inference basics). * Experience building classification/ranking/segmentation models and ...
You will manage a team of three and own end-to-end delivery-from problem framing and implementation ... causal inference basics). * Experience building classification/ranking/segmentation models and ...
You will manage a team of three and own end-to-end delivery-from problem framing and implementation ... causal inference basics). * Experience building classification/ranking/segmentation models and ...
You will manage a team of three and own end-to-end delivery-from problem framing and implementation ... causal inference basics). * Experience building classification/ranking/segmentation models and ...
You will manage a team of three and own end-to-end delivery-from problem framing and implementation ... causal inference basics). * Experience building classification/ranking/segmentation models and ...
You will manage a team of three and own end-to-end delivery-from problem framing and implementation ... causal inference basics). * Experience building classification/ranking/segmentation models and ...
You will manage a team of three and own end-to-end delivery-from problem framing and implementation ... causal inference basics). * Experience building classification/ranking/segmentation models and ...
Proven senior leadership experience managing and developing multidisciplinary analytics teams in a ... Causal inference and experimentation at scale (A/B testing, robust testing frameworks)
Proven senior leadership experience managing and developing multidisciplinary analytics teams in a ... Causal inference and experimentation at scale (A/B testing, robust testing frameworks)
Proven senior leadership experience managing and developing multidisciplinary analytics teams in a ... Causal inference and experimentation at scale (A/B testing, robust testing frameworks)
Proven senior leadership experience managing and developing multidisciplinary analytics teams in a ... Causal inference and experimentation at scale (A/B testing, robust testing frameworks)
Consumer Banking American Dream Analytics Director
Columbus, OH · On-site
$161K - $245K/yr
Proven senior leadership experience managing and developing multidisciplinary analytics teams in a ... Causal inference and experimentation at scale (A/B testing, robust testing frameworks)
Consumer Banking American Dream Analytics Director
Columbus, OH · On-site
$161K - $245K/yr
Proven senior leadership experience managing and developing multidisciplinary analytics teams in a ... Causal inference and experimentation at scale (A/B testing, robust testing frameworks)
Proven senior leadership experience managing and developing multidisciplinary analytics teams in a ... Causal inference and experimentation at scale (A/B testing, robust testing frameworks)
Proven senior leadership experience managing and developing multidisciplinary analytics teams in a ... Causal inference and experimentation at scale (A/B testing, robust testing frameworks)
Deep learning, Natural language processing (NLP), Causal inference, Reinforcement learning and ... Experience collaborating with data engineering and data management teams to deploy models in ...
Deep learning, Natural language processing (NLP), Causal inference, Reinforcement learning and ... Experience collaborating with data engineering and data management teams to deploy models in ...
Lead Data Scientist
Columbus, OH · On-site
Deep learning, Natural language processing (NLP), Causal inference, Reinforcement learning and ... Experience collaborating with data engineering and data management teams to deploy models in ...
Lead Data Scientist
Columbus, OH · On-site
Deep learning, Natural language processing (NLP), Causal inference, Reinforcement learning and ... Experience collaborating with data engineering and data management teams to deploy models in ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works alongside world-class engineers, data scientists, and product managers to shape the future of search ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works alongside world-class engineers, data scientists, and product managers to shape the future of search ...
... them to discover, manage, and scale partnerships across the entire customer journey. From ... Strong grasp of causal inference and experiment design in online, delayed-feedback environments ...
Quick apply
... them to discover, manage, and scale partnerships across the entire customer journey. From ... Strong grasp of causal inference and experiment design in online, delayed-feedback environments ...
... them to discover, manage, and scale partnerships across the entire customer journey. From ... Strong grasp of causal inference and experiment design in online, delayed-feedback environments ...
... them to discover, manage, and scale partnerships across the entire customer journey. From ... Strong grasp of causal inference and experiment design in online, delayed-feedback environments ...
... them to discover, manage, and scale partnerships across the entire customer journey. From ... Strong grasp of causal inference and experiment design in online, delayed-feedback environments ...
... them to discover, manage, and scale partnerships across the entire customer journey. From ... Strong grasp of causal inference and experiment design in online, delayed-feedback environments ...
... manage, and scale partnerships across the entire customer journey. They are seeking a Senior Data ... Strong grasp of causal inference and experiment design in online, delayed-feedback environments ...
... manage, and scale partnerships across the entire customer journey. They are seeking a Senior Data ... Strong grasp of causal inference and experiment design in online, delayed-feedback environments ...
... discover, manage, and scale partnerships across the entire customer journey. The Senior Data ... of causal inference and experiment design in online, delayed-feedback environments (auction ...
... discover, manage, and scale partnerships across the entire customer journey. The Senior Data ... of causal inference and experiment design in online, delayed-feedback environments (auction ...
... manage, and scale partnerships. The Senior Data Scientist will design and deploy machine learning ... of causal inference and experiment design in online, delayed-feedback environments (auction ...
... manage, and scale partnerships. The Senior Data Scientist will design and deploy machine learning ... of causal inference and experiment design in online, delayed-feedback environments (auction ...
Manager Causal Inference information
See salary details
$29K - $37.1K
1% of jobs
$37.1K - $45.2K
5% of jobs
$45.2K - $53.3K
3% of jobs
$53.3K - $61.4K
3% of jobs
$61.4K - $69.5K
3% of jobs
$69.5K - $77.5K
1% of jobs
$77.5K - $85.6K
1% of jobs
$85.6K - $93.7K
1% of jobs
$93.7K - $101.8K
1% of jobs
$101.8K - $109.9K
1% of jobs
$110.3K is the 25th percentile. Wages below this are outliers.
$109.9K - $118K
79% of jobs
$29K
$104.6K
$118K
How much do manager causal inference jobs pay per year?

Full-time
Medical, Retirement
Posted 27 days ago
JPMorgan Chase & Co. rating
8.0
Based on 491 frontline employees who took The Breakroom Quiz
58th of 149 rated banks
Job description
DESCRIPTION:
Duties: Apply statistical and machine learning methodologies, including causal inference methodologies, and perform advanced analytics to solve business problems. Perform quantitative and statistical analysis of datasets to identify trends, patterns, and correlations that can be used to improve business performance. Generate insights through data analysis and understanding of business processes and turn insights into actionable recommendations using algorithms. Build and deploy prototype solutions to demonstrate ideas and prove concepts. Collaborate with others in the organization to develop new ideas and brainstorm potential solutions. Develop presentations to summarize and communicate key messages to senior management sponsors and colleagues. Act as a subject matter expert and advisor in the analytics discipline and mentor junior team members.
QUALIFICATIONS:
Minimum education and experience required: PhD in Quantitative Psychology, Statistics, Mathematics, Economics, or related field of study. The employer will alternatively accept a Master's degree in Quantitative Psychology, Statistics, Mathematics, Economics, or related field of study plus 3 years of experience in the job offered or as Applied AI ML or related occupation. Experience in the occupation may be gained through professional work experience, graduate work experience, internships, or academic training.
Skills Required: This position requires experience with the following: Making predictions and inferences using analytical methods including generalized linear models, non-linear models, ML frameworks including tree-based models, nonparametric models, time series, causal inference and causal estimation including Structural Equation Modeling, and conditional likelihood approaches such as Bayesian analysis; Conducting data interpolation for estimation and inference; Performing heterogeneous data management and programming using a programming language such as R; Writing academic-style documentations. Experience in the skills may be gained through professional work experience, graduate work experience, internships, or academic training.
Job Location: 1111 Polaris Pkwy, Columbus, OH 43240.
Full-Time.
Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
Equal Opportunity Employer/Disability/Veterans
Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.What JPMorgan Chase & Co. employees say
Pay
Benefits
Hours and flexibility
Workplace
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About JPMorgan Chase & Co
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Industry
Finance and insurance and banking and credit intermediation
Company size
10,000+ Employees
Headquarters location
New York, NY, US