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Founding Engineer (Data Science)

  • Full Time, onsite
  • ChurnPilot
  • San Francisco Bay Area, United States of America
Salary undisclosed

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As a Founding Engineer at ChurnPilot, you will play a pivotal role in developing our core predictive analytics platform. You’ll be responsible for designing, implementing, and scaling data-driven solutions that help our clients proactively identify and address churn risk, identify expansion opportunities, and maximize customer lifetime value. This is a unique opportunity to work in a startup environment where your insights and technical expertise will directly influence the direction of the company and its product offerings.

Key Responsibilities

Data Strategy & Modeling

  • Design and implement end-to-end data pipelines that ingest, clean, and process large volumes of customer data.
  • Develop advanced predictive models and machine learning algorithms to forecast churn and other key customer behaviors.

Product Development

  • Collaborate closely with product, engineering, and business teams to integrate data science solutions into ChurnPilot’s platform.
  • Translate business challenges into data-driven opportunities, ensuring model outputs drive actionable insights.

Research & Innovation

  • Stay abreast of emerging trends in data science, machine learning, and AI to continuously improve our models and techniques.
  • Experiment with new methodologies and tools to enhance predictive accuracy and scalability.

Technical Leadership

  • Mentor junior data scientists and engineers as the team grows, fostering a culture of learning and innovation.
  • Define best practices for data handling, modeling, and evaluation, setting the technical foundation for a high-performing team.

Cross-Functional Collaboration

  • Work with engineering to build robust infrastructure for model deployment, monitoring, and maintenance.
  • Partner with the business team to understand customer needs and iterate quickly based on feedback and performance metrics.
Qualifications

Educational Background

  • Master’s or PhD in Data Science, Computer Science, Statistics, Applied Mathematics, or a related field.

Technical Expertise

  • Proficient in programming languages such as Python or R; experience with libraries like Random Forest, XGBoost, LightGBM, scikit-learn, TensorFlow, or PyTorch.
  • Strong background in statistical analysis, machine learning algorithms, and data mining techniques.

Experience

  • Prior experience in a startup or fast-paced environment is a plus.
  • Demonstrated history of building and deploying scalable data products or models in production.

Analytical Skills

  • Ability to translate complex data sets into clear, actionable insights.
  • Strong problem-solving skills and a creative approach to addressing technical challenges.
Preferred Skills
  • Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and big data technologies such as Spark or Hadoop.
  • Experience with data visualization tools (e.g., Tableau, PowerBI, or similar).
  • Exposure to customer behavior analytics, marketing data, or churn prediction is highly desirable.
  • Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.
Benefits and Opportunities

Impact

  • As a founding team member, you will have a direct influence on the company’s strategy, culture, and growth trajectory.

Equity & Compensation

  • This role is equity compensation only until the company reaches either a revenue or funding milestone.

Professional Growth

  • Opportunity to work on groundbreaking projects in a high-growth startup, with plenty of room for personal and professional development.

Culture

  • A dynamic, inclusive, and collaborative work environment where innovation and initiative are celebrated.
  • Flexible work arrangements to help balance professional and personal priorities.
How to Apply

If you’re excited about leveraging data science to transform customer retention strategies and want to be a part of a startup that’s making a real difference, we’d love to hear from you.

Please submit your resume, a cover letter detailing your relevant experience, and any portfolio examples or case studies that demonstrate your expertise in data science and machine learning.

As a Founding Engineer at ChurnPilot, you will play a pivotal role in developing our core predictive analytics platform. You’ll be responsible for designing, implementing, and scaling data-driven solutions that help our clients proactively identify and address churn risk, identify expansion opportunities, and maximize customer lifetime value. This is a unique opportunity to work in a startup environment where your insights and technical expertise will directly influence the direction of the company and its product offerings.

Key Responsibilities

Data Strategy & Modeling

  • Design and implement end-to-end data pipelines that ingest, clean, and process large volumes of customer data.
  • Develop advanced predictive models and machine learning algorithms to forecast churn and other key customer behaviors.

Product Development

  • Collaborate closely with product, engineering, and business teams to integrate data science solutions into ChurnPilot’s platform.
  • Translate business challenges into data-driven opportunities, ensuring model outputs drive actionable insights.

Research & Innovation

  • Stay abreast of emerging trends in data science, machine learning, and AI to continuously improve our models and techniques.
  • Experiment with new methodologies and tools to enhance predictive accuracy and scalability.

Technical Leadership

  • Mentor junior data scientists and engineers as the team grows, fostering a culture of learning and innovation.
  • Define best practices for data handling, modeling, and evaluation, setting the technical foundation for a high-performing team.

Cross-Functional Collaboration

  • Work with engineering to build robust infrastructure for model deployment, monitoring, and maintenance.
  • Partner with the business team to understand customer needs and iterate quickly based on feedback and performance metrics.
Qualifications

Educational Background

  • Master’s or PhD in Data Science, Computer Science, Statistics, Applied Mathematics, or a related field.

Technical Expertise

  • Proficient in programming languages such as Python or R; experience with libraries like Random Forest, XGBoost, LightGBM, scikit-learn, TensorFlow, or PyTorch.
  • Strong background in statistical analysis, machine learning algorithms, and data mining techniques.

Experience

  • Prior experience in a startup or fast-paced environment is a plus.
  • Demonstrated history of building and deploying scalable data products or models in production.

Analytical Skills

  • Ability to translate complex data sets into clear, actionable insights.
  • Strong problem-solving skills and a creative approach to addressing technical challenges.
Preferred Skills
  • Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and big data technologies such as Spark or Hadoop.
  • Experience with data visualization tools (e.g., Tableau, PowerBI, or similar).
  • Exposure to customer behavior analytics, marketing data, or churn prediction is highly desirable.
  • Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.
Benefits and Opportunities

Impact

  • As a founding team member, you will have a direct influence on the company’s strategy, culture, and growth trajectory.

Equity & Compensation

  • This role is equity compensation only until the company reaches either a revenue or funding milestone.

Professional Growth

  • Opportunity to work on groundbreaking projects in a high-growth startup, with plenty of room for personal and professional development.

Culture

  • A dynamic, inclusive, and collaborative work environment where innovation and initiative are celebrated.
  • Flexible work arrangements to help balance professional and personal priorities.
How to Apply

If you’re excited about leveraging data science to transform customer retention strategies and want to be a part of a startup that’s making a real difference, we’d love to hear from you.

Please submit your resume, a cover letter detailing your relevant experience, and any portfolio examples or case studies that demonstrate your expertise in data science and machine learning.