Founding Engineer (Data Science)
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 ResponsibilitiesData 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.
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.
- 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.
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.
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 ResponsibilitiesData 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.
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.
- 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.
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.
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.