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.
Are you all about leveraging data to provide customers better products and grow business? We are looking for qualified candidates to design and implement scalable machine learning solutions for dynamic financial products, deliver business insights from unstructured data with clear narratives and creative visualizations, and partner closely with the data infrastructure and platform teams to develop tools and automation. We have a large and diverse set of data, sourced from our extensive client base and huge volume of transactions across multiple channels. This is a great opportunity to apply your craft as a data scientist while working directly with business partners to drive data-driven solutions.
Schwab's Schwab Data Science team is a hard-working, fun team of 40+ that supports multiple business units across the firm with quantitative-based decision support. Our mission is to help our business partners better understand the needs and behaviors of our prospects and clients through data science, analytics, and business intelligence.
What you'll do
The Data Scientist will work collaboratively with a team of data scientists, analytics leads, engineers, and product owners throughout a project lifecycle, including data extraction and preparation, feature engineering, model design and development and everything in between– this is a role that will requires hands on expertise to create value adding solutions that solve real business problems.
This role supports multiple business units across the Schwab enterprise.
Get hands-on with big data as you hack through complex and messy data, and analyze it leveraging the latest algorithms and state-of-the-art techniques and toolsDevelop marketing mix model to measure channel efficiency and optimize marketing budget allocationUse open-source tools and platforms like Anaconda Enterprise, Python, R and SAS to apply algorithms and analytic models to big data problemsDevelop automated and algorithmic approaches to analyzing data and powering data products and predictionsWork closely with business stakeholders to understand their needs, articulate how data science can help achieve objectives, and deliver regular updatesCollaborate with Data Science Engineers to operationalize models
What you bring
Statistical Methodology: Knowledge of advanced techniques and concepts (regression, properties of distributions, time series analysis and modeling, statistical tests and proper usage, etc.)
Machine Learning: Knowledge of and experience with designing and implementing algorithms (Gradient Boosting Trees, GLM/Regression, Random Forest, Neural Networks, etc.), and the ability to articulate their real-world advantages and drawbacks
Data Mining & Machine Learning: Knowledge and experience in advanced data mining & modeling techniques (GLM/Regression, K-Means Clustering, Decision Trees, Random Forest, GNBC, NLP, AI, Social Network Analysis, etc.), and the ability to articulate their suitability for a given challenge
Business acumen: Understanding the bigger picture for customers and the business and the know how to probe beyond stakeholders’ stated requests to understand what is truly needed to capture and drive business value
What you haveRequired Qualifications:
Graduate degree in a quantitative field (eg. Statistics, Mathematics, Computer Science, Engineering, Physics, Operations Research, etc.)2+ years’ of experience in delivering data science/analytics solutions 2+ years experience in Python, data engineering, analytics roleSoftware engineering and code versioning skillsData visualization experience
Preferred Qualifications:
Proactive, critical thinker, bias to action and a go-getter attitudeExperience with time series modelingExperience with Bayesian statistics and modelingExperience with marketing mix modeling techniquesExperience with optimization techniquesEnthusiastic quick learner who loves to codeExperience with Dataiku/Google Cloud Product and Big QueryExperience in financial services industry Options Apply for this jobApplyShareRefer a friendRefer Sorry the Share function is not working properly at this moment. Please refresh the page and try again later. Share on your newsfeed Why work for us?Own Your Tomorrow embodies everything we do! We are committed to helping our employees ignite their potential and achieve their dreams. Our employees get to play a central role in reinventing a multi-trillion-dollar industry, creating a better, more modern way to build and manage wealth.
Benefits: A competitive and flexible package designed to empower you for today and tomorrow. We offer a competitive and flexible package designed to help you make the most of your life at work and at home—today and in the future. Application FAQs
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