Duties: Apply statistical and machine learning methodologies, including causal inference ... internships, or academic training. Skills Required: This position requires experience with the ...
Duties: Apply statistical and machine learning methodologies, including causal inference ... internships, or academic training. Skills Required: This position requires experience with the ...
Duties: Apply statistical and machine learning methodologies, including causal inference ... internships, or academic training. Skills Required: This position requires experience with the ...
Duties: Apply statistical and machine learning methodologies, including causal inference ... internships, or academic training. Skills Required: This position requires experience with the ...
Duties: Apply statistical and machine learning methodologies, including causal inference ... internships, or academic training. Skills Required: This position requires experience with the ...
Duties: Apply statistical and machine learning methodologies, including causal inference ... internships, or academic training. Skills Required: This position requires experience with the ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ... Past internship contributions include: Tensor-based complementary recommendations, published at ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ... Past internship contributions include: Tensor-based complementary recommendations, published at ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ... Past internship contributions include: Tensor-based complementary recommendations, published at ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ... Past internship contributions include: Tensor-based complementary recommendations, published at ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ... Past internship contributions include: Tensor-based complementary recommendations, published at ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ... Past internship contributions include: Tensor-based complementary recommendations, published at ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ... Past internship contributions include: Tensor-based complementary recommendations, published at ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ... Past internship contributions include: Tensor-based complementary recommendations, published at ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ... Past internship contributions include: Tensor-based complementary recommendations, published at ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ... Past internship contributions include: Tensor-based complementary recommendations, published at ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ... Past internship contributions include: Tensor-based complementary recommendations, published at ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ... Past internship contributions include: Tensor-based complementary recommendations, published at ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ... Past internship contributions include: Tensor-based complementary recommendations, published at ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ... Past internship contributions include: Tensor-based complementary recommendations, published at ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ... Past internship contributions include: Tensor-based complementary recommendations, published at ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ... Past internship contributions include: Tensor-based complementary recommendations, published at ...
Internship Causal Inference information
What types of projects and team collaborations can I expect during an Internship in Causal Inference?
As an intern in Causal Inference, you will typically work on projects focused on analyzing data to determine cause-and-effect relationships, such as assessing the impact of interventions or policy changes. You may collaborate with data scientists, statisticians, and domain experts, contributing to experimental design, data cleaning, and the application of statistical methods. Interns often participate in weekly team meetings, present findings, and receive mentorship from senior researchers. This hands-on experience provides valuable exposure to both technical skills and interdisciplinary teamwork, which are crucial for growth in quantitative research roles.
What are the key skills and qualifications needed to thrive as an Internship Causal Inference, and why are they important?
To thrive in an Internship Causal Inference role, you need a solid background in statistics, econometrics, and data analysis, typically supported by coursework or degrees in statistics, economics, or related quantitative fields. Familiarity with statistical programming languages such as R or Python, and experience with causal inference frameworks and tools like propensity score matching or regression discontinuity, are commonly required. Strong problem-solving abilities, attention to detail, and effective communication skills help interns interpret results and collaborate with research teams. These skills and qualities are essential to ensure rigorous and meaningful analysis that informs data-driven decisions.
What is the difference between Internship Causal Inference vs Data Analyst?
| Aspect | Internship Causal Inference | Data Analyst |
|---|---|---|
| Required Credentials | Undergraduate or graduate in statistics, economics, or related fields | Degree in statistics, data science, or related fields |
| Work Environment | Research-focused, often in academia or research institutions | Business, corporate, or consulting settings |
| Employer & Industry Usage | Universities, research labs, tech companies | Finance, marketing, healthcare, tech companies |
| Comparison Search Intent | Understanding causal inference techniques during internships | Analyzing data to inform business decisions |
Internship Causal Inference roles focus on applying statistical methods to identify cause-effect relationships, often in research settings. Data Analyst roles involve interpreting data to support business strategies. While both require analytical skills, causal inference internships emphasize research and advanced statistical techniques, whereas data analyst positions focus on data processing and reporting.
What is an Internship in Causal Inference?
An Internship in Causal Inference is a temporary position, typically for students or early-career professionals, that focuses on learning and applying methods to determine cause-and-effect relationships in data. Interns in this field work with statistical models, experimental designs, and software tools to analyze data and infer causal relationships, often in fields like economics, public health, or data science. These internships provide hands-on experience with real-world datasets, mentorship from experienced researchers, and opportunities to contribute to ongoing projects. Participants gain valuable skills in programming, statistical analysis, and research methodology, which are highly sought after in both academia and industry.
What are the most commonly searched types of Causal Inference jobs in Ohio? The most popular types of Causal Inference jobs in Ohio are:
What are popular job titles related to Internship Causal Inference jobs in Ohio? For Internship Causal Inference jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Internship Causal Inference jobs in Ohio look for? The top searched job categories for Internship Causal Inference jobs in Ohio are:
What cities in Ohio are hiring for Internship Causal Inference jobs? Cities in Ohio with the most Internship Causal Inference job openings:
![Applied AI ML [Multiple Positions Available]](https://www.ziprecruiter.com/svc/fotomat/public-nosensitive-ziprecruiter-logos/company/8ad231cf.png){kind=small}
Full-time
Medical, Retirement
Posted 22 days ago
JPMorgan Chase & Co. rating
8.0
Based on 486 frontline employees who took The Breakroom Quiz
54th of 144 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.
About Us
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
About the Team
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
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