Lead analytics strategy for JPMorgan Chase Freedom Portfolio, driving insights and decision-making across product, finance, risk, and technology teams.
Responsibilities
Own analytics strategy and performance measurement framework
Deliver executive-ready insights and standardized reporting
Lead structured deep dives across acquisition, activation, spend, retention, engagement, and profitability
Serve as trusted advisor to partners across Marketing, Product, Finance, Risk, and Data and Technology
Drive prioritization across competing initiatives
Requirements
Bachelor’s degree in a quantitative field (e.g., computer science, mathematics, engineering, econometrics, or statistics)
Lead scientific innovation in AI-enabled biologics, antibody discovery, protein engineering, and protein design, translating complex drug‑discovery challenges into AI opportunities and partnering with cross‑functional teams to develop and evaluate AI methods for protein structure prediction and generative molecular design.
Responsibilities
Lead scientific innovation in AI-enabled biologics, antibody discovery, protein engineering, and protein design
Translate complex drug‑discovery challenges into well‑defined AI opportunities with clear hypotheses, evaluation methods, and success criteria
Develop and evaluate rigorous AI methods for protein structure prediction, biological foundation models, and generative molecular design
Assess emerging AI models, datasets, and technologies for scientific maturity, differentiation, limitations, and drug‑discovery value
Lead cross‑functional proof‑of‑concept studies connecting computational performance with experimental validation and meaningful scientific outcomes
Requirements
Doctoral degree in machine learning, computational biology, bioinformatics, structural biology, protein engineering, or a related discipline
Develop and modify software applications for the Ohio Department of Public Safety, performing testing, debugging, and analysis under the guidance of an Information Technology Supervisor.
Compensation
$34.53 per hour
Responsibilities
Develop and modify programs for computer applications
Perform testing and debugging
Assist with analysis and design
Read, write, extract, and report from individual files
Create and modify existing program modules
Requirements
Associate core program in computer science or information systems
Undergraduate core program in computer science or information systems
Prepare and analyze large loan, deposit, and financial datasets using Structured Query Language or similar tool. Perform regressions, programming routines, and other statistical analyses. Collect and analyze benchmarking data. Serve as liaison between stress testing, model validation, and business lines. Maintain model documentation. Support regulatory reviews and ensure compliance with regulatory guidance and Enhanced Prudential Standards.
Compensation
salary: $134,500.00 per year plus benefits.
Responsibilities
Prepare and analyze large loan, deposit, and financial datasets using Structured Query Language or similar tool
Perform regressions, programming routines, and other statistical analyses
Collect and analyze benchmarking data
Serve as liaison between stress testing, model validation, and business lines
The Data Scientist joins the Audience Revenue Science Team to support product development related to in-depth data analysis, machine learning, AI, optimization methods, and statistical model building.
Compensation
New York Pay Range: $103,361.11 - $155,041.67
Responsibilities
Collaborating with cross-functional teams to define data analysis problems and design experiments
Engineering software solutions and algorithms for data cleansing, integration, and analysis
Utilizing advanced statistical methods and machine learning to derive actionable insights from big data
Implementing statistical and mathematical models to address complex business challenges
Constructing data mining frameworks and conducting trend analysis for strategic decision-making
Lead and empower a team of Product Managers to deliver measurable outcomes while ensuring alignment with the organization’s strategic objectives and driving operational excellence across complex global initiatives.
Responsibilities
Lead and empower a team of Product Managers to deliver measurable outcomes by fostering ownership, accountability, and innovation.
Mentor Product Managers on best practices for product discovery, agile development, and customer‑centric solutions.
Partner with business, product, and digital teams to align priorities and execution plans with enterprise objectives while embedding GDPR‑compliant data handling processes.
Lead operational governance and execution management across strategic products, platforms, transformation initiatives, and cross‑regional programs, ensuring alignment with GDPR and EU AI Act standards.
Encourage a culture of evidence‑based decisions and experimentation, emphasizing continuous learning over rigid solutions.
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