• Advance signal detection and early alerting by leveraging new technologies to reduce false positives • Standardize signal review outputs and ensure consistent governance across diverse data sources • Maintain end-to-end signal tracking and lifecycle documentation • Continuously improve PV data quality and deliver dashboards, scorecards, automated reports • Enable leadership-ready insight delivery through regular updates and ad hoc escalations • Partner with PV leadership and digital/automation teams to evolve PV technology and capabilities

• Job Link : https://ziphire.hr/job/bd9d7121-4e31-40af-859e-578e8957eb14 ****Bending Spoons is seeking a motivated Junior Data Scientist to join our innovative team in the technology sector. In this pivotal role, you will contribute to the development of data-driven solutions that enhance our products and user experience. Your insights will play an essential part in shaping strategic decisions, making this an exciting opportunity for someone eager to start their career in data science within a dynamic and fast-paced environment. As a Junior Data Scientist, you will collaborate closely with cross-functional teams to analyze complex datasets and extract actionable insights. This role involves designing experiments, building predictive models, and interpreting data trends to inform product development and marketing strategies. You’ll have the chance to work with cutting-edge tools and technologies, ensuring that your contributions are both impactful and measurable. The ideal candidate will possess a degree in Data Science, Statistics, Computer Science, or a related field, along with a solid foundation in programming languages such as Python or R. A passion for problem-solving, strong analytical skills, and familiarity with machine learning concepts will set you apart. We're looking for someone who thrives in a collaborative environment and is eager to learn and grow. This is an exciting opportunity to join a forward-thinking company that values creativity and innovation. At Bending Spoons, you will not only develop your technical skills but also have the chance to make a tangible impact in a company that is revolutionizing the technology landscape. If you are ready to take the first step in your data science career and contribute to meaningful projects, we would love to hear from you.

• Design and develop ML models for outreach personalization, including contextual bandits, reinforcement learning, and classification models. • Design and develop AI agents that generate dynamic, personalized nudge content and conversational interventions. • Design and analyze large-scale A/B tests and experimentation frameworks to evaluate ML models, data-driven signals, nudges, and content strategies. Define success metrics and ensure statistically sound experimentation practices. • Collaborate on the design of data pipelines and event schemas that feed the product, ensuring high-quality data for real-time decisioning and offline analysis. • Define and implement robust monitoring frameworks for the product, including short-term engagement metrics, longer-term retention, opt-outs, and intervention fatigue. • Lead, mentor, and grow the data scientists of the team. Set technical direction, ensure high-quality delivery, and foster strong collaboration with Product and Engineering stakeholders. • Inspire and empower others by genuinely caring for your own wellbeing and your colleagues. Bring wellbeing to the forefront of work, and create a supportive environment where everyone feels comfortable taking care of themselves, taking time off, and finding work-life wellness.

• Perform scientific work associated with analytical, statistical, and programming skills to collect, analyze, and interpret large data sets. • Use large data sets to find opportunities for product and process optimization. • Use models to test the effectiveness of different courses of action. • Use predictive modeling to increase and optimize customer experience, efficiencies, process improvements, and other business outcomes. • Mine and analyze data using a variety of data tools. • Build and implement models using/creating algorithms and creating/running simulations. • Develop processes and machine learning-based tools to monitor and analyze model performance and data accuracy. • Assess the effectiveness and accuracy of new data sources and data gathering techniques. • Drive business results with data-based insights. • Ability to work independently and troubleshoot challenges. • Communicate analytic findings and recommendations to non-technical stakeholders, verbally and through written reports. • Provide support in capturing and defining any requirements for the deliverables/ solutions for the projects under this contract. • Provide expertise and implementation support for projects in data science, predictive analytics, machine learning, and artificial intelligence.