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Physics Informed Machine Learning Jobs in Delaware

Lead the advanced analytics roadmap, incorporating predictive modeling and machine learning to ... Makes informed decisions. * Customer Centricity- Leads team to identify and improve customer ...

Sr Data Analyst

Wilmington, DE · Hybrid

$89.99K - $143.09K/yr

... informed decision-making related to financial performance. Duties will include financial ... Experience/Interest in Machine Learning and AI implementation. Demonstrated problem-solving skills ...

Medical Assistant

Dover, DE

$14 - $18/hr

... informed on their condition and care ... You will also be helping manage the inventory of medical supplies, setting up machines and testing ...

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Physics Informed Machine Learning information

What is a Physics Informed Machine Learning job?

A Physics Informed Machine Learning (PIML) job involves developing AI models that integrate physics-based principles to improve accuracy, interpretability, and generalization. Professionals in this role use machine learning techniques alongside domain knowledge in physics, engineering, or applied sciences to solve complex problems in areas like fluid dynamics, materials science, and climate modeling. Responsibilities often include designing algorithms, implementing simulations, and validating results against experimental or real-world data. Employers typically seek expertise in deep learning, numerical methods, and programming languages like Python.

What are the key skills and qualifications needed to thrive in the Physics Informed Machine Learning position, and why are they important?

To thrive in Physics Informed Machine Learning, you need a solid background in physics, strong mathematical and statistical skills, and experience with machine learning algorithms, typically supported by an advanced degree in a relevant field. Proficiency with programming languages like Python, frameworks such as TensorFlow or PyTorch, and familiarity with numerical simulation tools are commonly required. Effective problem-solving, clear communication, and the ability to collaborate with interdisciplinary teams make a significant impact in this role. These capabilities are essential for developing robust, interpretable machine learning models that leverage physical laws to solve complex, real-world problems.

What are the typical challenges faced by professionals working in Physics Informed Machine Learning roles?

Professionals in Physics Informed Machine Learning often encounter challenges integrating complex physical theories with advanced machine learning models, requiring deep domain knowledge and strong technical skills. Balancing model accuracy with computational efficiency and ensuring that models are both interpretable and generalizable can be demanding. Collaboration with domain experts, data scientists, and engineers is common, as projects often span multiple disciplines. Successfully navigating these challenges provides valuable experience and is highly regarded, often leading to further career advancement in research, engineering, or leadership positions.
What are popular job titles related to Physics Informed Machine Learning jobs in Delaware? For Physics Informed Machine Learning jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Physics Informed Machine Learning jobs in Delaware look for? The top searched job categories for Physics Informed Machine Learning jobs in Delaware are:
What cities in Delaware are hiring for Physics Informed Machine Learning jobs? Cities in Delaware with the most Physics Informed Machine Learning job openings:
Marketing Analytics Senior Associate - Card Data Analytics

Marketing Analytics Senior Associate - Card Data Analytics

JP Morgan Chase

Wilmington, DE • On-site

Full-time

Medical, Retirement

Posted 12 days ago


JPMorgan Chase & Co. rating

8.1

Company rating: 8.1 out of 10

Based on 467 frontline employees who took The Breakroom Quiz

45th of 141 rated banks


Job description

Join the Card Marketing Analytics team within Consumer Community Banking Data & Analytics and help shape the strategy of Chase's Credit Card marketing campaigns. This role offers the opportunity to influence multimillion dollar marketing spend, develop your analytics skills, and collaborate with talented colleagues. Grow your career in a dynamic environment that values innovation, strategic thinking, and impactful business decisions.

As a Marketing Analytics Senior Associate in the Card Data & Analytics team, you will focus on translating customer behavioral data into insights that drive marketing strategies to influence card acquisitions on digital channels. You will develop, plan, and execute analytical projects both individually and as part of a team. You will work closely with Analysts, Channel Marketing partners, Data Owners, and Product Owners to deliver capabilities that unlock the power of our data and drive business growth.

You will own end-to-end analytics for multiple campaign strategies, conduct research and recommend marketing strategies, and synthesize large volumes of data into actionable insights. Your work will support business growth targets and provide practical data insights to senior leadership through compelling presentations and visualizations.

Job Responsibilities
  • Own end-to-end analytics for multiple campaign strategies on digital channels, including campaign performance measurement, ad hoc analysis, A/B and incrementality test reads, and profitability and optimization analysis
  • Partner with marketing strategy managers across Card Digital channels to optimize campaigns, develop new strategies, and provide best-in-class analytics to influence and grow new card acquisitions
  • Conduct research and recommend marketing strategies in the digital space to the card business
  • Support business growth targets by providing concise, insightful, and timely analytics for key trends by analyzing large datasets
  • Synthesize large volumes of data into actionable insights to influence business and marketing strategies
  • Deliver practical data insights in a compelling manner actionable by senior leadership using presentations, discussions, and visualizations
Required qualifications, capabilities, and skills
  • Bachelor's and Master's degree in a quantitative discipline (Data Science/Analytics, Mathematics, Statistics, Physics, Engineering, Economics, Finance or related fields)
  • 3+ years of industry experience in business analytics roles (e.g., digital analytics, customer analytics, marketing analytics, sales analytics, business insights)
  • Advanced knowledge of querying databases using SQL
  • Experience across a broad range of modern data science and analytics tools (Hive, Python, R, Alteryx)
  • Experience with visualization techniques for data analysis and presentation (Tableau, Power BI)
  • Experience with web analytics tools (Google Analytics, Adobe Analytics)
  • Knowledge in modern data mining, quantitative research, and data science techniques (e.g., Machine learning)
  • Superior written, oral communication and presentation skills with experience communicating concisely and effectively with all levels of management and partners
Preferred qualifications, capabilities, and skills
  • Financial services background
  • Intellectually curious and eager to become subject matter expert in their focus area
  • A strategic thinker with the ability to focus on business goals
  • Highly organized and able to prioritize multiple tasks

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.

The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

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