Sr Specialist, Data Scientist

ta, 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 AI and 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.

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 to design, build and deploy innovative AI & Machine learning solutions. This involves:

• Getting hands-on with large datasets as you hack through complex and messy data, analyze it leveraging the latest AI & Machine learning algorithms and tools.

• Use state of the art data science tools and packages like Python (Pandas, NumPy, Scikit-learn, etc.), SQL, data visualization tools (Matplotlib, Seaborn, Tableau/Power BI), familiarity with machine learning libraries (TensorFlow, PyTorch) and cloud platforms (GCP).

• 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 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 have

Required Qualifications:

• Graduate degree in a quantitative field (eg. Statistics, Mathematics, Computer Science, Engineering, Physics, Operations Research, etc.)

• 1+ years' experience in delivering data science/analytics solutions

• 1+ years' experience in Python, data engineering, analytics role

• Software engineering and code versioning skills

• Data visualization experience

Preferred Qualifications:

• Foundation in statistics, mathematics (probability, linear algebra, calculus), and data wrangling is essential.

• Good knowledge of software engineering practice.

• Proactive, critical thinker, bias to action and a go-getter attitude

• Enthusiastic quick learner who loves to code

• Experience with Dataiku/Google Cloud Product and Big Query

• Experience in financial services industry

In addition to the salary range, this role is also eligible for bonus or incentive opportunities.

What's in it for you

At Schwab, we're committed to empowering our employees' personal and professional success. Our purpose-driven, supportive culture, and focus on your development means you'll get the tools you need to make a positive difference in the finance industry. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis.

We offer a competitive benefits package that takes care of the whole you - both today and in the future:

• 401(k) with company match and Employee stock purchase plan
• Paid time for vacation, volunteering, and 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