This job will lead the development and implementation of advanced data science models and algorithms. You will work with stakeholders to understand requirements and deliver solutions. Your role involves driving best practices in data science, ensuring data quality, and mentoring junior scientists.
Essential Responsibilities:
- Lead the development and implementation of advanced data science models.
- Collaborate with stakeholders to understand requirements.
- Drive best practices in data science.
- Ensure data quality and integrity in all processes.
- Mentor and guide junior data scientists.
- Stay updated with the latest trends in data science.
Minimum Qualifications:
- Minimum of 5 years of relevant work experience and a Bachelor's degree or equivalent experience.
Preferred Qualification:
- Strong analytical and problem-solving mindset, with a degree in a quantitative field such as Data Science, Computer Science, Engineering, Statistics, Mathematics, Economics, or a related discipline
- 4+ years of experiencein Product Data Science, including A/B testing and experimentation, advanced analytics, and applied machine learning
- Proven track record of partnering with Product teamsin domains such as Payments, eCommerce, or SaaS to shape product strategy, inform roadmaps, and deliver impactful data-driven insights
- Advanced proficiency in SQL and Python, with expertise in working with large-scale, complex datasets to derive actionable insights
- Deep experience analyzing high-volume, high-dimensional real-world data, with a focus on scalability and business impact
- Hands-on experience with modern data tools and platformssuch as Jupyter Notebooks, BigQuery, Teradata, Hadoop, or Hive is highly desirable
- Exceptional communication and data storytelling skills, with the ability to distill complex findings for both technical and non-technical audiences and influence cross-functional decision-making
- Highly motivated and self-directed
Our Benefits:
Any general requests for consideration of your skills, please