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Accountabilities
- Design, build, and deploy advanced analytical models to drive insights and decision-making across teams.
- Develop predictive models for forecasting, churn, lead scoring, pipeline health, and customer lifetime value.
- Translate business questions into data science problems and experimentation strategies.
- Build scalable data pipelines to support model training and real-time analytics.
- Create experimentation frameworks and run A/B tests for marketing and product optimization.
- Implement causal inference and attribution models for measuring campaign effectiveness.
- Lead data quality and validation efforts to ensure trust in analytical outputs.
- Mentor junior data scientists on best practices for modeling and experimentation.
- Collaborate with engineering teams to productionize models and embed intelligence in business systems.
- Other duties as needed.
- Bachelor’s or Master’s degree in Computer Science, Statistics, Engineering, or a related field.
- 10+ years of experience in data science, machine learning, and advanced analytics.
- Expert proficiency in Python and SQL for data analysis and production workflows.
- Strong foundation in statistical modeling, machine learning, experimentation, and causal inference.
- Hands-on experience with production ML systems in cloud environments (AWS, Azure).
- Flexible working options with remote capabilities.
- Comprehensive benefits package including medical, dental, and vision insurance.
- 401(k) plan to support your financial future.
- Unlimited paid time off to prioritize work-life balance.
- Opportunities for professional growth and advancement.
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Key Skills
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