Charles Schwab Corporation

  • Senior Manager, Data Scientist

    Job Locations US-CA-San Francisco | US-TX-Westlake | US-TX-Austin
    Requisition ID
    Posted Date
    2 months ago(10/11/2019 12:26 PM)
    Data, Analytics & Business Insight
    Position Type
    Full time
  • Your Opportunity

    Love using statistics to create insightful models, measure the effect of marketing activities, and make an impact on the quality of business decisions?  Then we want you!


    This is a great opportunity to apply your craft as a statistician/data scientist while working closely with business partners to deliver data-driven solutions.


    We are looking for qualified candidates to design, build, and implement marketing mix models to guide marketing investment decisions.   You will apply your statistical talent to develop quantitative models to measure and optimize cross channel marketing and promotional spending decisions. 


    Our large client base and multi-channel transaction volume offers a fertile data environment to uncover new insights and answers to key business questions. Our dynamic business generates many questions that provide lots of opportunity to get deep in data and have real impact.


    Analytics and Business Insight (ABI) is a smart, fun team of 140+ that provide quantitative decision support to multiple business units across Schwab. We help our business partners better understand the needs and behaviors of our prospects and clients through analytics, data science, market research, and business intelligence.

    What you’re good at

    You will work collaboratively with marketing partners, analysts, and data engineers to develop and automate marketing mix optimization solutions.   You’ll use your analytic, modeling, and consultation skills to help marketing leaders better understand what worked and guide them in making the best spending decisions going forward.  This role will require technical sophistication, marketing knowledge, and hands on expertise to create actionable solutions to solve real-world marketing problems.


    This role supports multiple marketing units across the Schwab enterprise.


    • Work with marketing and analytic partners to quantify the impact of marketing investment decisions
    • Get hands-on with big data to analyze time series leveraging the latest platforms, statistical modeling and optimization techniques
    • Formulate panel based time-series regression models using hierarchical Bayesian modeling techniques
    • Design, conduct, and analyze experiments to quantify the impact of marketing treatments
    • Analyze observational data to quantify the effect of promotional events and offers
    • Leverage tools and platforms like Anaconda Enterprise, Python, R and SAS to apply algorithms and analytic models to big and small data problems
    • Formulate fixed or mixed effect regression model specifications
    • Build regression models under a panel-based hierarchical Bayesian framework


    What you bring

    • Experience with conducting due-to and sensitivity analysis  
    • Explain your insights to a non-technical audience
    • Creatively think of original solutions for the real world
    • Thought leadership in using marketing mix models to improve marketing decisions
    • Experience in solving complex marketing problems using quantitative models


    Even better

    • Experience implementing STAN/MCMC R packages to estimate regression coefficients
    • Experience implement optimization algorithms using non-linear techniques


    Business acumen: Understanding how marketing and promotions grow acquisition and improve retention.  Quickly grasp the big picture.  Know how to probe beyond stakeholders’ stated requests to understand what is truly needed to capture and drive business value.

    What you have

    • B.S. degree in Statistics, Mathematics, Economics, Mathematics, Operations Research, or similar quantitative field
      • 5+ years’ of experience in statistical modeling and analytics
      • Expertise in R and SQL. Comfort in Python and SAS
      • Desire to learn all aspects of big data and analytics projects including scoping business requirements, wrangling data, approaching business problems with analytic rigor, developing reusable data products and visualizing data to surface insights that drive business value and impact.


      Even better

      • Enthusiastic quick learner who loves to model and code, has a solid statistical foundation and wants to expand their data science experience
      • Experience using statistics and machine learning to solve complex business problems
      • Experience in financial services is a plus but not a requirement


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    Why Schwab?

    At Schwab, “Own Your Tomorrow” embodies everything we do! We are committed to helping our employees unleash their potential and achieve their dreams. Our employees get to play a central role in disrupting a multi-trillion-dollar industry, creating a better, more modern way to build and manage wealth. We’re a modern financial services firm that stands apart from the industry, where you can go as far as your ambition takes you.

    Hear from employees: What’s it like to work at Schwab!

    The benefits of working at Schwab: a package designed to empower your health, wealth, career and life.
    Schwab is committed to building a diverse and inclusive workplace where everyone feels valued.

    As an equal employment opportunity employer, our policy is to provide equal employment opportunities to all employees and applicants without regard to any status that is protected by law. (Please click here to see policy.)

    Schwab is also an affirmative action employer, focused on advancing women, minorities, veterans, and individuals with disabilities in the workplace.
    We believe diversity and inclusion are part of our success as a company and our purpose of serving every client with passion and integrity.