Overview
On Site
Full Time
Skills
Creative Problem Solving
Finance
Analytical Skill
Workflow
Reporting
Collaboration
Communication
Research
Training
Natural Language Processing
Artificial Intelligence
Data Science
Data Analysis
Business Analytics
SQL
Python
R
SAS
Data Visualization
Tableau
Business Objects
Statistics
Analytics
Data Wrangling
Data Management
Data Cleansing
Extract
Transform
Load
DDL
DML
Bitbucket
Git
Microsoft TFS
Statistical Models
Regression Analysis
Clustering
Machine Learning (ML)
Natural Language
Insurance
Job Details
Your Opportunity
At Schwab, you're empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us "challenge the status quo" and transform the finance industry together.
Duties: Develops analytic processes, data workflows, statistical models, analysis, reporting, and insights from data. The position requires collaboration and communication with colleagues and business stakeholders to provide analysis, explain trends, research data issues, and build solutions. Ongoing research and training in the latest data science tools and techniques including machine learning, natural language processing, and artificial intelligence.
What you have
Job Requirments: Bachelor's or Master's in Data Science, Data Analytics, Business Analytics, or related field and related experience (6 years with Bachelor's degree or 4 years with Master's degree). Experience must include some experience in each of the following skills. SQL, Python, R or SAS; Data visualization, such as Tableau or Business Objects; Statistics, Analytics, Data Wrangling, and Data Management, including data cleansing, data transformation/ETL, DDL, and DML; Code repositories such as BitBucket, Git, or TFS; and, Statistical modeling and techniques such as regression, classification, clustering, machine learning, natural language.
We offer competitive pay and benefits. Starting compensation depends on related experience. Annual bonus and other eligible earnings are not included in the ranges above. Benefits include: 401(k) w/ company match; employee stock purchase plan; paid vacation, volunteering, 28-day sabbatical after every 5 years of service for eligible positions; paid parental leave and family building benefits; tuition reimbursement; health, dental, and vision insurance; hybrid/remote work schedule available for eligible positions (subject to Schwab's internal approach to workplace flexibility).
At Schwab, you're empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us "challenge the status quo" and transform the finance industry together.
Duties: Develops analytic processes, data workflows, statistical models, analysis, reporting, and insights from data. The position requires collaboration and communication with colleagues and business stakeholders to provide analysis, explain trends, research data issues, and build solutions. Ongoing research and training in the latest data science tools and techniques including machine learning, natural language processing, and artificial intelligence.
What you have
Job Requirments: Bachelor's or Master's in Data Science, Data Analytics, Business Analytics, or related field and related experience (6 years with Bachelor's degree or 4 years with Master's degree). Experience must include some experience in each of the following skills. SQL, Python, R or SAS; Data visualization, such as Tableau or Business Objects; Statistics, Analytics, Data Wrangling, and Data Management, including data cleansing, data transformation/ETL, DDL, and DML; Code repositories such as BitBucket, Git, or TFS; and, Statistical modeling and techniques such as regression, classification, clustering, machine learning, natural language.
We offer competitive pay and benefits. Starting compensation depends on related experience. Annual bonus and other eligible earnings are not included in the ranges above. Benefits include: 401(k) w/ company match; employee stock purchase plan; paid vacation, volunteering, 28-day sabbatical after every 5 years of service for eligible positions; paid parental leave and family building benefits; tuition reimbursement; health, dental, and vision insurance; hybrid/remote work schedule available for eligible positions (subject to Schwab's internal approach to workplace flexibility).
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.