Senior Data Scientist

hace 3 días

Bogotá, Colombia 8020rei A tiempo completo

What is 8020REI?

8020REI is a pioneering B2B data and SaaS platform that empowers professional real estate investors to generate consistent leads from Cold Calls, SMS, and Direct Mail without spending more. We leverage AI, machine learning, and advanced analytics to identify homeowners likely to sell at a discount, plus a proven strategy to maximize our client's ROI. As part of our network, we also operate alongside three sister companies: DMForce, 8020Recruit, and 8020CRM, each contributing specialized services to the real estate sector.

Core Values at 8020REI:

  • 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 a 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 Senior 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.

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.
️ Desirable Skills:
  • Industry expertise in real estate.
  • Business acumen to align data initiatives with organizational goals.
  • A fast learner with a commitment to continuous improvement.
  • Experience with agile methodologies such as SCRUM.

Why Join Us?

At 8020REI, you’ll play a key role in shaping the future of data analytics for the real estate investment industry. As a Senior Data Scientist, you’ll have the opportunity to lead data initiatives, work with cutting-edge technologies, and collaborate with a dynamic team passionate about innovation and results.

What We Offer:

  • Competitive Base Compensation
  • Profit Share Bonus
  • Flex PTO (up to 25 days per year)
  • Home Office Upgrade Bonus
  • HMO Bonus
  • Full-time Remote Work
  • Opportunity for growth and team-building potential
  • Ongoing support and budget to develop new skills

Join us at 8020REI and contribute directly to revolutionizing the real estate investment landscape

#J-18808-Ljbffr

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