Sr. Data Scientist

Vantaca just achieved unicorn status with a $1.25B valuation, so it's safe to say we're past the "scrappy startup phase." We're not just building a successful company – we're building the category-defining platform that will transform how an entire industry operates.

Here's the reality of our trajectory:

• Growing 100% year-over-year
• Our AI product (HOAi) went from $0 to millions in months
• Backed by Cove Hill Partners and JMI Private Equity
• 6M+ doors on our platform, displacing legacy systems

We are a winning team that believes in working together to make big ideas happen. We are a collaborative and visionary group that holds ourselves accountable for our results. Our ability to be nurturing and agile allows us to adapt to change and support each other through any challenges that come our way. We are customer-centric, meaning that we put our customers' needs and preferences at the heart of our work.

We are authentic game changers that are building something cool and people like it here.

Vantaca is looking for a Senior Data Scientist that wants to work in a high impact, fast-paced team that is ready to make a big impact.

This individual will be responsible for helping build data products, uncover valuable business insights, and communicate key discoveries. Your work will drive better decision-making for products and customers. You will develop strong partnerships with stakeholders and work cross-functionally with product management, engineering, finance, and business stakeholders to ensure alignment and success.

• Always Growing: Likes change and enjoys finding new ways to improve their knowledge and the product. Always ready to learn quickly, helping themselves and the team grow.
• Win as a Team: Builds trust and works together by making sure everyone communicates well. Actively involved in daily work, working closely with the team, listening to their ideas, and celebrating successes together.
• Accountability Starts with Me: Notices problems and takes personal action to solve them.
• Unwavering Commitment to Customer
  
  Experience:
  
  Regularly talks to customers, taking personal responsibility to understand what they need, address concerns, and make their experience better with improved Vantaca processes.
• Innovate Boldly: We challenge the status quo and push boundaries to create meaningful change. We act with urgency and purpose, knowing that innovation drives our success.

• Lead a team of data engineers to design, build, and maintain scalable data pipelines and ETL processes.
• Define and implement data governance, quality, and security best practices to support business units.
• Drive initiatives to enhance system reliability, scalability, and performance.
• Mentor and grow the engineering team, fostering a culture of collaboration, innovation, and continuous improvement.
• Partner with peers and stakeholders to define and execute roadmaps that can help the function scale.

• Lead advanced analytics initiatives to identify market opportunities, customer behaviors, and product optimization strategies.
• Establish predictive modeling and machine learning capabilities that enhance product features and service delivery.
• Help foster a culture of analytical rigor and continuous learning. Aid in the development of junior roles.
• Develop real-time analytics and reporting capabilities that support operational decision-making across the organization.
• Implement customer segmentation and personalization strategies that directly impact revenue and user engagement.
• Create high impact learnings that drive the business forward.
• Ability to understand business needs and deliver on detailed analysis with insights and forward-looking recommendations.

• Master's degree or PhD preferable with concentration in Computer Science, Data Science, Statistics, Applied Mathematics, or related analytical field.
• 2+ years of data science work with demonstrated impact on product development and business outcomes.
• Proven track record of using data science to define, enhance, or create analysis in technology-driven organizations.
• Proficiency in statistical analysis.
• Proficiency in data visualization tools such as Power
  
  BI.
• Strong experience with data science tools and platforms including Python, R, and SQL.
• Experience with cloud tools such as Azure (preferred), AWS, or GCP.
• Demonstrated ability to translate complex analytical findings into actionable business recommendations and product strategies.
• Strong background regression analysis, geospatial analysis, data visualization, and statistical inference methodologies.
• Excellent communication and presentation skills with the ability to influence product and business strategy at executive levels.

• Our eNPS is +68! (Google it, that is great).
• Benefits:
  Medical, Dental, and Vision kick in day one.
• Unlimited PTO (with a requirement for employees to take a minimum of one continuous week per year).
• 401K with Company Match.
• Remote Flexible - come to the office when needed.
• Great…