Data Scientist

Job Description
DESCRIPTION:
Duties: Create data pipelines needed to deliver new analytics products. Create and deliver custom analyses of payments data's financial cost according to client request. Design repeatable analytics insights for product development. Optimize existing data pipelines. Write and update automated jobs to implement data pipelines. Measure data quality at all stages of data pipelines. Design and implement automatic data quality monitoring on all data pipelines. Adhere to rigorous analytics quality controls in all development and adhoc analysis work. Create and preserve auditable artifacts for analytics and development work processes. Meet with clients and stakeholders to elicit requirements for new data insights products. Maintain business data models needed to support simulation and counterfactual analyses. Create and update code. Own and maintain components and subject areas in analytics insights products. Assess complex interchange costs and optimality applications. Interpret vendor documentation to develop reference models and applied models of cost and routing decisions. Meet with internal stakeholders and external clients at all stages of analytics product development. Independently deliver complex analytics work supporting the needs of the business using statistical methods.
QUALIFICATIONS:
Minimum education and experience required: Master's degree in Information Technology and Management, Data Science, Computer Science, Mathematics, Analytics, Operations Research or related field of study plus 1 year of experience in the job offered or as Data Scientist, Software Developer, or related occupation.
Skills Required: Requires 1 year of experience with the following: Software development life cycle; Software architecture and design; utilizing SQL with big data including performance tuning, query optimization, analytic functions, window functions, CTEs (Common Table Expressions), and recursive queries; translating business requirements and producing technical solutions; interpreting technical specifications and producing analytical data models; using statistics and machine learning to perform hypothesis testing, regression analysis, and time series analysis; applied statistics in SQL or Python. Requires any amount of experience with the following: Distributed Computing in Hadoop using Hive and Spark; MapReduce; performance tuning and optimization with Snowflake; using machine learning algorithms and frameworks to develop and maintain simulation models for cost optimization, cost modeling, and financial analysis; writing and optimizing Python UDFs for data processing and analysis; deploying and maintaining UDFs in a production environment; utilizing techniques for optimizing the performance of data processing and querying; profiling and debugging performance issues; selection and use of appropriate hypothesis tests; analysis methods including ANOVA, factor analysis, and cluster analysis; linear, logistic and regularized regression; time series methods including ARIMA and exponential models; prediction and classification methods including Bayesian inference, decision trees, random forests, SVM, and GBM; simulation methods including rule-based, Monte Carlo, Markov chains, and HMMs; creating interactive dashboards and data visualizations with Tableau; ETL (Extract, Transform, Load) processes; data pipeline orchestration tool such as Apache Airflow; data cleaning, preprocessing, and transformation techniques; handling missing data, outliers, and data imputation methods; data warehousing concepts and architecture; Data Quality Monitoring techniques including profiling, validation, cleansing, auditing, lineage tracking, ongoing quality measurement, and anomaly detection; conveying technical concepts to non-technical stakeholders; writing comprehensive technical documentation including user guides, API documentation, and technical specifications; Code documentation including inline comments and docstrings; System documentation including operational and incident response run books; Process documentation including standard operating procedures and best practices; data documentation including dataflow diagrams, data dictionaries, and entity-relation diagrams; data security best practices and compliance requirements; implementing security measures to protect sensitive data; version control systems including Git, GitHub, or GitLab; collaborative coding practices including code reviews and pull requests; collaboration and project management tools such as Confluence, Slack, or Microsoft Teams.
Job Location: 8181 Communications Pkwy, Plano, TX 75024
About Us
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
About the Team
J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.