Data Scientist [Multiple Positions Available]

Archer; Plano (TX); On-site; USD 140,000 - 210,000; Full time

Job summary

Archer is seeking a Senior Data Scientist to provide technical leadership, conduct design reviews, and set standards while leveraging diverse datasets to deliver scalable analytics. Build and maintain backend data pipelines, cloud architecture, and ML ops to embed insights into enterprise initiatives.

You will lead and mentor a data science team, manage project roadmaps, and ensure compliance and data integrity, delivering actionable insights across financial and operational domains.

Qualifications

• Master's degree in Analytics, Data Science, Data Analytics, or related field of study plus 5 years of experience.
• Five years of experience with financial analysis (ROI/NPV) and data manipulation and SQL query optimization.
• Three years of experience with Alteryx, coaching/mentoring analysts, and geospatial analytics integration.

Responsibilities

• Provide technical leadership by conducting design reviews, setting coding and modeling standards, and ensuring analytical rigor and compliance.
• Design and implement scalable analytical methods and data pipelines using diverse datasets.
• Focus on backend data engineering, API development, and model deployment over visualization.

Skills

SQL

Python

Big data analysis

NLP

Machine learning

Predictive modeling

Data visualization

Anomaly detection

Cohort analysis

Coaching

Education

Master's degree in Analytics/Data Science

Tools

Snowflake

Tableau

Alteryx

Job description

Archer is collaborating with J.P. Morgan to connect them with exceptional professionals for this role.

Description

JOB DESCRIPTION

Duties: Provide technical leadership and oversight by conducting design reviews, setting coding and modeling standards, and ensuring analytical rigor, validation, and compliance. Design and implement scalable analytical methods and tools leveraging diverse datasets from disparate sources, utilizing advanced modeling techniques to generate insights while ensuring data integrity, accuracy, and efficient processing at scale. Focus on purely technical infrastructure, such as building and maintaining data pipelines, cloud architecture, or ML Ops to embed data-driven insights into enterprise initiatives. Focus on internal proprietary data pipelines or IoT/sensor data and enhance financial insights in alignment with regulatory and compliance standards. Focus on backend data engineering, API development, or model deployment rather than visualization for high- impact business decisions and public-facing presentations. Perform targeted hands‑on analytics and prototyping for high‑priority initiatives and complex problem‑solving scenarios. Drive the analysis and categorization of transaction descriptions to enhance insights, while monitoring customer cash flows, including inflows and outflows to focus on a completely different domain such as cybersecurity analytics, supply chain optimization, or healthcare, manufacturing, or telecommunications. Focus on real‑time streaming analytics, natural language processing (NLP), or computer vision, and root‑cause analysis, to identify clients risks and opportunities within portfolios. Lead and manage a data science team, including hiring, onboarding, coaching, performance management, and career development of direct reports. Lead data science projects to evaluate customer financial behavior across deposit accounts, credit cards, and lending products, and focus on operational metrics, engineering performance indicators, or scientific research metrics to generate comprehensive customer profiles and inform strategic decision‑making. Own end‑to‑end delivery of analytics and data science initiatives, including planning, prioritization, roadmap definition, and risk management across a portfolio of projects.

Qualifications

Minimum education and experience required: Master's degree in Analytics, Data Science, Data Analytics, or related field of study plus 5 years of experience in the job offered or as Data Scientist, Business Analyst, or related occupation.

Skills Required: This position requires five (5) years of experience with the following: Financial analysis such as Return on Investment or Net Present Value to find value of a financial product; data manipulation, data structuring, data design flow and query optimization using SQL; visualizations and business intelligence in Tableau; performing tasks automation, data design flow and statistical analysis using Python v3.8 for advanced data manipulation and visualization; Big data analysis of account transaction text descriptions; data handling and query optimization with Snowflake; Using techniques Multivariate regression, logistic regression, decision trees, cohort analysis for Predictive modeling and Anomaly detection. This position requires three (3) years of experience with the following: Alteryx for building scalable data preparation and analytics workflows; Coaching, mentoring, and reviewing analysts and data scientists, including guidance on methodologies, data sources, and validation of code and outputs; Integrating geospatial analytics into financial datasets to derive location‑based insights; Designing random and stratified sampling frameworks to enable unbiased analysis and balanced comparison groups; Leading analytical projects including problem framing, execution planning and stakeholder management; applying machine learning and AI techniques to large datasets and generate predictive and actionable insights.

Job Location: 8181 Communications Pkwy, Plano, TX 75024.

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.