Senior Data Scientist

Grow your career with a growing organization

Whether they’re helping people reach their long-term financial goals or providing personal wealth management strategies, every associate contributes to changing the lives of those we serve for the better. When it comes to job satisfaction, that’s hard to beat. And from a personal satisfaction perspective, you’ll enjoy the freedom to support causes that matter to you and experience a truly inclusive work environment. Your future starts now.

As a Senior Data Scientist, you will play a key role in driving the analysis, development and implementation of AI and ML models, advanced analytical models, and algorithms to solve complex business problems. You’ll work closely with other teams, including data engineers, AI/ML engineers, and architects, to drive data analysis and AI/ML solutions.

What you will do:

• Execute data science initiatives within the enterprise technology group to optimize onboarding flows (for product), and to identify leads (in freemium model), convert leads to clients and in client retention
• Maintain and improve production implementation of existing models (Git + Jenkins + Argo + Sagemaker)
• Design and develop data pipelines and machine learning models, including all pre-processing and output validation
• Respond to evolving and changing security conditions. Implement and contribute to security guidelines
• Assess a variety of third-party and open-source models and technologies
• Execute data-driven projects and provide insights and recommendations to key stakeholders
• Collaborate with other teams, including data engineers, software engineers, and business analysts, to ensure that data is being used effectively to drive decision-making
• Develop and implement advanced analytical models and algorithms to drive decision making and answer critical business questions
• Experiment with emerging AI, ML, and data analysis techniques and technologies, with a rigorous focus on business value (specifically, uplift models, neural networks, reinforcement learning AND potential agentic workflows with third-party API's)

What you will bring:

• 6+ years of professional data science experience
• Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field of study. (or equivalent experience)
• Direct experience in designing, building, and delivering AI/ML solutions using agentic LLM's, uplift models, neural networks and reinforcement learning
• Strong experience with data analysis and machine learning tools such as Python, R, and SQL
• Solid understanding of data storage and retrieval technologies such as RDS, DynamoDB, and ElastiCache
• Experience with data visualization tools such as Quick Sight, Tableau or Power BI
   

What will set you apart:

• Experience with emerging technologies, such as Generative AI, Machine Learning and Advanced Analytics
• Experience with modern cloud solutions 

• Experience with agile, iterative development methodologies
• Experience with data-driven decision-making and experimentation culture
• Self-motivated individual that thrives in a team environment
• Direct experience applying data science, AI, ML techniques to solve real customer or business problems

***Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time, including CPT/OPT.***

What we offer you

We offer an array of diverse and inclusive benefits regardless of where you are in your career. We believe that providing our employees with the means to lead healthy balanced lives results in the best possible work performance.

• Medical, dental, vision and life insurance
• Retirement savings – 401(k) plan with generous company matching contributions (up to 6%), financial advisory services, potential company discretionary contribution, and a broad investment lineup
• Tuition reimbursement up to $5,250/year
• Business-casual environment that includes the option to wear jeans
• Generous paid time off upon hire – including a paid time off program plus ten paid company holidays and three floating holidays each calendar year
• Paid volunteer time — 16 hours per calendar year
• Leave of absence programs – including paid parental leave, paid short- and long-term disability, and Family and Medical Leave (FMLA)
• Business Resource Groups (BRGs) - internal networks that rally around common interest, experiences and identities such as race, ethnicity, gender, ability, military status and sexual orientation. BRGs play a vital role in educating and engaging our people and advancing our business priorities.