Save time and effort sourcing top tech talent
hackajob is partnering with JPMorganChase to fill this position. Create a profile to be automatically considered for this role—and others that match your experience.
DESCRIPTION:
Duties: Build data solutions and extract insights from big data environments to design metrics and conduct in-depth analyses that drive business decisions. Partner with leaders across the business of Sales, Marketing, Finance and Account Management to deliver high-impact analytics. Establish strong partnerships with our stakeholders across Chase Payment Solutions. Collaborate with analytics and non-analytics groups to design solutions and provide actionable insights. Drive the execution of analytics and data science initiatives. Analyze data from a variety of data sources and identify key insights. Demonstrate strong analytical ability through understanding and implementation of various analytical and statistical techniques to answer high-priority business questions. Interpret analytical results and present findings to stakeholders. Build data visualization and provide ongoing enhancements to business dashboards. Experiment, develop, and produce high-quality machine learning models that drive business growth.
QUALIFICATIONS:
Minimum education and experience required: Bachelor's degree in Data Science, Business Analytics, or related field of study plus 1 year of experience in the job offered or as Data Scientist, Business Analyst, or related occupation.
Skills Required: This position requires any amount of experience with the following: Creating and maintaining dynamic and interactive dashboards using Tableau and Looker leveraging ETL automation, ODBC connector; creating advanced visualizations including heat maps, drill-down charts and tools including parameters, and LOD (Level of Detail) expressions; Conducting in-depth exploratory data analysis within large enterprise databases (Terabytes- scale) using SQL via CTE and window functions; transforming raw data into actionable insights using Python libraries including Pandas and NumPy for data manipulation, scikit-learn for machine learning, matplotlib, and seaborn for data visualization; Presenting data findings, model results, and performance metrics to cross- functional teams and translating complex analyses into strategic recommendations for business growth; Designing and building robust, scalable data processing and model training pipelines by leveraging Random Forest and K-Nearest Neighbors (KNN) machine learning algorithms; Developing, optimizing, and producing predictive modeling pipelines by Tree-based Pipeline Optimization Tool (TPOT) python libraries that automate hyperparameter tuning and model selection to enhance prediction performance and model efficiency; Automating and streamlining ETL workflows in order to produce recurring reports and data updates leveraging Excel and Alteryx workflows; Leverage advanced Excel functionalities including vlookup, index match, and pivot tables; PySpark and Snowpark data science libraries in Python; and data engineering pipelines for big data.
Job Location: 3223 Hanover St, Palo Alto, CA 94304.
Full-Time. Salary: $148,699 - $170,000 per year.
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
hackajob is partnering with JPMorganChase to fill this position. Create a profile to be automatically considered for this role—and others that match your experience.