Data Scientist

Charles Schwab • Westlake, TX

371d

About The Position

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.

Requirements

• 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 role.
• Software engineering and code versioning skills.
• Data visualization experience.

Nice To Haves

• Proactive, critical thinker, bias to action and a go-getter attitude.
• Experience with time series modeling.
• Experience with Bayesian statistics and modeling.
• Experience with marketing mix modeling techniques.
• Experience with optimization techniques.
• Enthusiastic quick learner who loves to code.
• Experience with Dataiku/Google Cloud Product and Big Query.
• Experience in financial services industry.

Responsibilities

• Work collaboratively with a team of data scientists, analytics leads, engineers, and product owners throughout a project lifecycle.
• 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 tools.
• Develop marketing mix model to measure channel efficiency and optimize marketing budget allocation.
• Use open-source tools and platforms like Anaconda Enterprise, Python, R and SAS to apply algorithms and analytic models to big data problems.
• Develop automated and algorithmic approaches to analyzing data and powering data products and predictions.
• Work closely with business stakeholders to understand their needs, articulate how data science can help achieve objectives, and deliver regular updates.
• Collaborate with Data Science Engineers to operationalize models.

What This Job Offers

• Industry: Securities, Commodity Contracts, and Other Financial Investments and Related Activities
• Education Level: Master's degree
• Number of Employees: 5,001-10,000 employees