Senior Data Scientist

The Helper Bees•Austin, TX

just now•Remote

About The Position

Join our winning team, recently honored as on Forbes’ list of America’s Best Startup Employers for 2025! The Helper Bees (THB) was created to fill an obvious need in an underserved community. Inspired by love and brought to reality through passion and determination, The Helper Bees was founded to empower older adult citizens and their families in their search for quality, affordable in-home care providers. We do this by providing older adults the ability to easily review, choose, and access affordable quality in-home helpers. The Helper Bees mission is to be the best in the world at finding & fulfilling the needs of older adults. At THB, we define our company culture through our Core Values: Quickly iterate through solutions - We move at a fast pace which requires quick iterations to find a path to a repeatable solution Seek ways to create immediate impact - Be thoughtful and proactive in how you make an impact on your team. Actively look for ways to make a fast, positive impact. Bee the teammate you want to work with - We work as a team, help each other and encourage each other Ask questions, answer questions - You can't iterate through solutions if you don't ask the right questions which is why there is an expectation that questions should be asked. When you know the answer, being a good teammate means chiming in to get others up to speed. Take the time to celebrate wins - It's so easy for a team that is heads down to forget about all the great things they've accomplished. That's why we make it a priority to remind ourselves to create space to celebrate wins, big or small. Job Summary: The Senior Data Scientist is responsible for leading advanced data analytics initiatives to drive strategic business decisions. This role involves designing and implementing complex data solutions, mentoring junior team members, and serving as a technical expert in data analysis and visualization. The Senior Data Analyst transforms raw data into actionable insights while collaborating directly with senior stakeholders, including managers and clients, to influence organizational strategy and optimize business performance.

Requirements

Ability to thrive in a fast-paced environment while managing multiple high-priority initiatives
Expert-level analytical and problem-solving skills with ability to handle ambiguous business challenges
Advanced proficiency in SQL for complex query development and database optimization
Expert-level Python programming skills including pandas, numpy, scikit-learn, and data visualization libraries
Advanced expertise in BI tools (Power BI, Tableau) including dashboard development and data modeling
Exceptional verbal and written communication skills with ability to present to C-level executives
Proven ability to manage multiple complex projects and meet tight deadlines
Deep knowledge of enterprise business systems (CRM, ERP, data warehouses)
Experience with cloud platforms (AWS, Azure, GCP) and big data technologies
Strong leadership and mentoring capabilities
Passion for driving business impact through data-driven insights
Must be 18 years of age or older
5+ years of experience as a Data Analyst, Senior Business Analyst, or similar analytical role
Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, or related quantitative field

Nice To Haves

PhD or Master's degree in relevant field preferred
Experience in tech platform or SaaS industry strongly preferred
Proven track record of delivering high-impact data solutions for enterprise clients

Responsibilities

Lead complex data analysis projects from conception to delivery, working directly with senior management and external clients to define analytical requirements and strategic objectives.
Design and develop advanced SQL queries, data models, and automated reporting solutions to support enterprise-level decision-making.
Create sophisticated data visualizations and interactive dashboards using Power BI, Tableau, and other BI tools to communicate insights to executive stakeholders.
Architect and implement Python-based data analysis workflows, including statistical modeling, predictive analytics, and machine learning applications.
Evaluate and optimize existing data infrastructure, identifying opportunities for process automation and performance improvements.
Conduct advanced statistical analysis and A/B testing to measure business impact and validate strategic initiatives.
Serve as the primary technical liaison between business units, C-level executives, and external clients, translating complex data findings into actionable business recommendations.
Develop comprehensive technical documentation, including data dictionaries, analysis methodologies, and best practices guidelines.
Lead strategic planning for data initiatives, ensuring projects align with business objectives and deliver measurable ROI.
Drive change management efforts for data-driven processes, including training stakeholders on new analytics tools and methodologies.
Perform competitive intelligence analysis and market trend evaluation to inform executive-level strategic decisions.
Mentor junior staff and establish data analysis standards and protocols across the organization.
Other duties as assigned/necessary