... management, lending, and advisory, from problem framing with business stakeholders through ... Design, build, and deploy end-to-end ML and causal inference solutions: uplift and heterogeneous ...
... management, lending, and advisory, from problem framing with business stakeholders through ... Design, build, and deploy end-to-end ML and causal inference solutions: uplift and heterogeneous ...
... management, lending, and advisory, from problem framing with business stakeholders through ... Design, build, and deploy end-to-end ML and causal inference solutions: uplift and heterogeneous ...
... management, lending, and advisory, from problem framing with business stakeholders through ... Design, build, and deploy end-to-end ML and causal inference solutions: uplift and heterogeneous ...
Applied Artificial Intelligence/ Machine Learning Lead - Vice President
Jersey City, NJ · On-site
$171K - $260K/yr
... management, lending, and advisory, from problem framing with business stakeholders through ... Design, build, and deploy end-to-end ML and causal inference solutions: uplift and heterogeneous ...
Applied Artificial Intelligence/ Machine Learning Lead - Vice President
Jersey City, NJ · On-site
$171K - $260K/yr
... management, lending, and advisory, from problem framing with business stakeholders through ... Design, build, and deploy end-to-end ML and causal inference solutions: uplift and heterogeneous ...
Manager, Companion Animals Global On-market Clinical Studies & Outcomes Research
Parsippany, NJ · On-site +1
The Manager - Companion Animals Global On-market Clinical Studies & Outcomes Research will serve as ... Advanced training in epidemiology and biostatistics (e.g., causal inference, longitudinal/mixed ...
Manager, Companion Animals Global On-market Clinical Studies & Outcomes Research
Parsippany, NJ · On-site +1
The Manager - Companion Animals Global On-market Clinical Studies & Outcomes Research will serve as ... Advanced training in epidemiology and biostatistics (e.g., causal inference, longitudinal/mixed ...
Senior Director, Epidemiology, Real World Evidence
Florham Park, NJ · On-site
$180 - $240/hr
Serve as authority on epidemiologic methodologies, causal inference, database strategy, and vendor ... Directly manage U.S.-based Director and consultants; provide mentorship across global epidemiology ...
Senior Director, Epidemiology, Real World Evidence
Florham Park, NJ · On-site
$180 - $240/hr
Serve as authority on epidemiologic methodologies, causal inference, database strategy, and vendor ... Directly manage U.S.-based Director and consultants; provide mentorship across global epidemiology ...
Post-Doctoral Associate
Piscataway, NJ · On-site
$63K/yr
Expertise in causal inference and machine learning (in particular reinforcement learning), and ... Prospective employees should speak with their hiring manager to determine which policies apply to ...
Post-Doctoral Associate
Piscataway, NJ · On-site
$63K/yr
Expertise in causal inference and machine learning (in particular reinforcement learning), and ... Prospective employees should speak with their hiring manager to determine which policies apply to ...
Tenure Track - Instructor/Assistant Professor
New Brunswick, NJ · On-site
$115K/yr
... models, and causal inference in women's health. 2. Devote efforts to the development and ... Prospective employees should speak with their hiring manager to determine which policies apply to ...
Tenure Track - Instructor/Assistant Professor
New Brunswick, NJ · On-site
$115K/yr
... models, and causal inference in women's health. 2. Devote efforts to the development and ... Prospective employees should speak with their hiring manager to determine which policies apply to ...
... models, and causal inference in women's health. 2. Devote efforts to the development and ... Prospective employees should speak with their hiring manager to determine which policies apply to ...
... models, and causal inference in women's health. 2. Devote efforts to the development and ... Prospective employees should speak with their hiring manager to determine which policies apply to ...
Senior Principal Statistician, Biometrics
Parsippany Troy Hills, NJ · On-site
$191 - $225/hr
... life‑cycle management opportunities. * Conduct gap analyses to identify missing data or ... framework, applying causal inference methods). * Strong analytical thinking and ability to ...
New
Senior Principal Statistician, Biometrics
Parsippany Troy Hills, NJ · On-site
$191 - $225/hr
... life‑cycle management opportunities. * Conduct gap analyses to identify missing data or ... framework, applying causal inference methods). * Strong analytical thinking and ability to ...
New
... causal inference, and subgroup inference. * Integrate policy analysis into evidence generation ... Manage strategic external collaborations and vendor relationships: identify and evaluate data ...
... causal inference, and subgroup inference. * Integrate policy analysis into evidence generation ... Manage strategic external collaborations and vendor relationships: identify and evaluate data ...
As a Senior Manager, Advanced Analytics in the team, you will have the unique opportunity to ... Strong knowledge of experimentation, causal inference, and observational analytical methodologies.
As a Senior Manager, Advanced Analytics in the team, you will have the unique opportunity to ... Strong knowledge of experimentation, causal inference, and observational analytical methodologies.
... learning, causal inference, experimental design, predictive modeling, AI validation. • Deep ... It is a sub-organization of Meye Asset Management. Founded in 1996, the company is headquartered in ...
... learning, causal inference, experimental design, predictive modeling, AI validation. • Deep ... It is a sub-organization of Meye Asset Management. Founded in 1996, the company is headquartered in ...
... inference, causal ML, statistical learning, experimentation, and Gen-AI. * In Gen-AI, it is ... managed LLM gateways, development of retrieval-augmented generation-based LLM agents, model ...
... inference, causal ML, statistical learning, experimentation, and Gen-AI. * In Gen-AI, it is ... managed LLM gateways, development of retrieval-augmented generation-based LLM agents, model ...
Payments-Analytics Solutions Manager-Vice President
Jersey City, NJ · On-site
$133K - $205K/yr
As an Analytics Solutions Manager on the Digital & Design Domain Services team, you will analyze ... causal inference, and natural language processing) * Proven experience delivering timely, high ...
Payments-Analytics Solutions Manager-Vice President
Jersey City, NJ · On-site
$133K - $205K/yr
As an Analytics Solutions Manager on the Digital & Design Domain Services team, you will analyze ... causal inference, and natural language processing) * Proven experience delivering timely, high ...
As an Analytics Solutions Manager on the Digital & Design Domain Services team, you will analyze ... causal inference, and natural language processing) * Proven experience delivering timely, high ...
As an Analytics Solutions Manager on the Digital & Design Domain Services team, you will analyze ... causal inference, and natural language processing) * Proven experience delivering timely, high ...
As an Analytics Solutions Manager on the Digital & Design Domain Services team, you will analyze ... causal inference, and natural language processing) * Proven experience delivering timely, high ...
As an Analytics Solutions Manager on the Digital & Design Domain Services team, you will analyze ... causal inference, and natural language processing) * Proven experience delivering timely, high ...
As an Analytics Solutions Manager on the Digital & Design Domain Services team, you will analyze ... causal inference, and natural language processing) * Proven experience delivering timely, high ...
As an Analytics Solutions Manager on the Digital & Design Domain Services team, you will analyze ... causal inference, and natural language processing) * Proven experience delivering timely, high ...
... and programs Use causal inference methods (experimentation and models) to understand the ... non-Tech, manager to executive) - Develop compelling presentations and documents ABOUT AUDIBLE ...
... and programs Use causal inference methods (experimentation and models) to understand the ... non-Tech, manager to executive) - Develop compelling presentations and documents ABOUT AUDIBLE ...
Use causal inference methods (experimentation and models) to understand the incremental impact of ... non-Tech, manager to executive) - Develop compelling presentations and documents ABOUT AUDIBLE ...
Use causal inference methods (experimentation and models) to understand the incremental impact of ... non-Tech, manager to executive) - Develop compelling presentations and documents ABOUT AUDIBLE ...
... and programs Use causal inference methods (experimentation and models) to understand the ... non-Tech, manager to executive) - Develop compelling presentations and documents ABOUT AUDIBLE ...
... and programs Use causal inference methods (experimentation and models) to understand the ... non-Tech, manager to executive) - Develop compelling presentations and documents ABOUT AUDIBLE ...
Manager Causal Inference information
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 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.
What are the most commonly searched types of Causal Inference jobs in New Jersey? The most popular types of Causal Inference jobs in New Jersey are:
What are popular job titles related to Manager Causal Inference jobs in New Jersey? For Manager Causal Inference jobs in New Jersey, the most frequently searched job titles are:
What job categories do people searching Manager Causal Inference jobs in New Jersey look for? The top searched job categories for Manager Causal Inference jobs in New Jersey are:
What cities in New Jersey are hiring for Manager Causal Inference jobs? Cities in New Jersey with the most Manager Causal Inference job openings:
Applied Artificial Intelligence/ Machine Learning Lead - Vice President
Jersey City, NJ
Full-time
Medical, Retirement
Re-posted 5 days ago
JPMorgan Chase & Co. rating
8.0
Based on 493 frontline employees who took The Breakroom Quiz
73rd of 170 rated banks
Job description
As an Applied AI/ML Vice President within Global Private Bank, you'll own the full lifecycle of high-impact casual and predictive models serving clients across wealth management, lending, and advisory, from problem framing with business stakeholders through production deployment at scale. You will tackle some of the most data-rich, complex client problems in financial services, where rigorous casual reasoning not just predictive accuracy. Drives the decisions that matter.
Job Responsibilities:
- Frame ambiguous client and operational questions as causal problems - distinguishing prediction from intervention, identifying confounders, and designing the right estimand with Private Bank business leads.
- Design, build, and deploy end-to-end ML and causal inference solutions: uplift and heterogeneous treatment effect models, observational causal studies (DiD, IV, RDD, synthetic controls, doubly robust estimation), experimentation, and classical/generative ML where appropriate.
- Own model quality, identification assumptions, sensitivity analysis, evaluation frameworks, monitoring, and post-deployment iteration.
- Drive productionization and MLOps practices in collaboration with engineering across distributed data infrastructure.
- Track applied research in causal ML, double machine learning, and agentic/LLM systems; translate promising work into production-ready solutions.
- Mentor junior data scientists and set technical standards for causal rigor across the team.
- Partner with the broader JPMorganChase AI/ML community, model risk, compliance, and peer LOBs to align on standards and amplify firm-wide impact.
Required qualifications, capabilities, and skills:
- Master's or PhD in Computer Science, Statistics, Economics, Applied Math, Data Science, or a related quantitative field.
- At least 5 years of hands-on ML experience in production environments, with a substantial portion focused on causal inference.
- Deep expertise in causal inference methods: potential outcomes framework, propensity score methods, instrumental variables, difference-in-differences, regression discontinuity, synthetic controls, doubly robust and double/debiased ML estimators, and uplift / heterogeneous treatment effect modeling.
- Demonstrated experience designing and analyzing experiments (A/B tests, switchback, quasi-experiments) and reasoning carefully from observational data when experimentation is infeasible.
- Hands-on experience with LLMs and agentic AI - fine-tuning, RAG pipelines, prompt engineering, and the design and deployment of multi-step / tool-using agents in production.
- Strong Python skills; proficiency with causal libraries (DoWhy, EconML, CausalML) alongside PyTorch, scikit-learn, and modern LLM/agent frameworks.
- Experience with large-scale data processing: Spark, Hive, SQL.
Proven ability to communicate casual assumptions, limitations, findings to non-technical stakeholders.
Preferred qualifications, capabilities, and skills:
- Financial services experience - wealth management, lending, or advisory.
- Bayesian and hierarchical modeling; structural causal models; sequential decision-making / contextual bandits.
- Experience applying causal reasoning to LLM and agent evaluation - counterfactual eval, off-policy estimation, or treatment-effect framing of agent interventions.
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
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.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
What JPMorgan Chase & Co. employees say
Pay
Benefits
Hours and flexibility
Workplace
Get the full story on Breakroom
About JPMorgan Chase & Co
Sourced by ZipRecruiter
Industry
Finance and insurance and banking and credit intermediation
Company size
10,000+ Employees
Headquarters location
New York, NY, US