ABOUT US

We are a pioneering B2B data and SaaS platform that empowers professional real estate investors to generate consistent leads through Cold Calls, SMS, and Direct Mail without increasing expenditure. We leverage AI, machine learning, and advanced analytics to identify homeowners likely to sell at a discount, maximizing our clients' ROI. Our company culture is rooted in approachability and collaboration, where everyone is willing to help and engage with the best attitude.

We maintain a horizontal structure, allowing open communication with leadership, including our CEO, who is known for his generosity and respected presence in the industry. As a remote company, we offer the flexibility to work from anywhere, supported by daily team huddles and fun activities like Fun Fridays.

We also host annual impact moments, where our team gathers to contribute to community projects through volunteering, such as building houses.. Our startup-like culture allows for agility and quick implementation of new ideas, while our profitability ensures stability and resources for growth. This year, we were recognized as one of the 5,000 fastest-growing companies in the U.S., ranking 1100.

We are eagerly seeking a talented full-time Senior Data Scientist to lead and advance our data science initiatives at our organization. In this pivotal role, you will design, implement, and fine-tune machine learning models tailored to our business needs, ensuring they are robust and scalable through rigorous testing.

Our Core Values:

• Lead with Innovation: We constantly seek innovative solutions to improve our services and operations.
• We’ve Got Your Back: Our dedication to surpassing expectations ensures we deliver outstanding support and forge lasting partnerships.
• Our Word is Our Bond: We maintain a foundation of integrity, fulfilling promises and upholding transparency.
• We are Limitless: Our culture encourages continuous personal and professional growth, empowering each team member to excel.
• Bring Your A-Game: We believe in prioritizing wellness and family, enabling our team to perform at their best for our clients and each other.

JOB SUMMARY

We are seeking an organized, communicative and innovative Senior Data Scientist to lead and advance our data science initiatives. This role is pivotal in driving the development, deployment, and continuous improvement of machine learning models that support strategic decision-making for our clients. The Data Scientist will take ownership of data-driven solutions, mentor junior team members, and contribute to the overall growth of our data capabilities.

This is a leadership role that requires technical expertise as well as the ability to collaborate across teams and communicate insights effectively to stakeholders.

WHAT WE OFFER

• Competitive Salary: Starting Salary of $165,000 to $200,000 a year
• Health Insurance: Fully covered health insurance plan
• Home Office Setup Allowance: Provided in the first, second, and fourth years of employment, ranging from $500 to $1,000 depending on seniority.
• Training and Development: We cover the costs of specific courses, books, or topics employees wish to pursue for continuous learning.
• Profit Share Bonus: After one year of service, employees are eligible for a profit share bonus based on performance.
• Impact Moments: An annual event where employees participate in community-building activities, such as building houses.

ESSENTIAL DUTIES AND RESPONSIBILITIES

Model Development and Deployment:

• Design, implement, and fine-tune machine learning models tailored to business needs.
• Ensure models are robust and scalable through rigorous testing (e.g., cross-validation, A/B testing).
• Deploy models into production environments with high efficiency.

Model Evaluation and Improvement:

• Monitor and evaluate the performance of deployed models using advanced metrics (e.g., accuracy, precision, recall, F1 score, MAE, MAPE).
• Identify areas for improvement and update models with new data or methodologies.
• Propose and integrate new data sources or modeling techniques to enhance overall effectiveness.

Data Analysis and Visualization:

• Conduct exploratory data analysis (EDA) to uncover trends, anomalies, and actionable insights.
• Develop and maintain dashboards and reports, making data accessible to non-technical stakeholders.
• Communicate complex findings in a clear, concise manner to drive data-informed decisions.

Leadership and Mentorship:

• Lead and mentor junior and mid-level data scientists, fostering a collaborative learning environment.
• Guide best practices for data science projects and ensure adherence to high-quality standards.

Big Data Integration and Management:

• Work with big data tools and platforms like PySpark and Databricks to process and analyze large datasets.
• Collaborate with data engineering teams to optimize data pipelines and effectively manage structured and unstructured data sources.
  
  

QUALIFICATIONS

Educational Background:

• Bachelor’s degree in Computer Science, Mathematics, Statistics, or a related field from a top university.
• A Master’s degree or higher is strongly preferred.
  
  

Experience:

• Minimum 4+ years of data science experience, focusing on machine learning and analytics.
• Proven track record of leading projects and teams in a professional setting.Proven Leadership experience.
  
  

Technical Expertise:

• Proficiency in Python (preferred) or R for data analysis and modeling.
• Strong knowledge of data manipulation libraries (pandas, NumPy) and platforms
• (Jupyter Notebooks).
• Expertise in machine learning techniques, including supervised and unsupervised
• learning, ensemble methods, and neural networks.
• Advanced SQL skills and experience with NoSQL databases for unstructured data.
• Hands-on experience with big data tools such as PySpark, Databricks, or equivalent.
  
  

Soft Skills:

• Exceptional analytical and problem-solving skills.
• Strong communication skills, capable of translating technical insights for non-expert
• stakeholders.
• Ability to work autonomously and lead cross-functional teams effectively.
• Language Proficiency:
• Advanced English proficiency (C1 or higher) is required.
• Spanish proficiency is an asset.
  
  

Language Proficiency:

• Advanced English proficiency (C1 or higher) is required.
• Spanish proficiency is an asset.