Machine Learning Engineer

As a Founding ML 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 & ModelingDesign 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 DevelopmentCollaborate 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 & InnovationStay 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 LeadershipMentor 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 CollaborationWork 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.QUALIFICATIONSEducational BackgroundMaster's or PhD in Data Science, Computer Science, Statistics, Applied Mathematics, or a related field.Technical ExpertiseProficient 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.ExperiencePrior 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 SkillsAbility to translate complex data sets into clear, actionable insights.Strong problem-solving skills and a creative approach to addressing technical challenges.PREFERRED SKILLSFamiliarity 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 & OPPORTUNITIESImpactAs a founding team member, you will have a direct influence on the company's strategy, culture, and growth trajectory.Equity & CompensationThis role is equity compensation only until the company reaches either a revenue or funding milestone.Professional GrowthOpportunity to work on groundbreaking projects in a high-growth startup, with plenty of room for personal and professional development.CultureA 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.

Created: 2025-03-08