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As a Data Science Manager at Sylndr, you will lead a team of data professionals to implement advanced analytics, BI solutions, and data engineering processes. Your role involves overseeing data projects, ensuring data integrity, and aligning initiatives with business goals, while communicating insights to stakeholders. You will also manage the deployment of machine learning models and optimize data systems.

The operations specialist manages daily operations, tracks KPIs, optimizes processes, performs SWOT analysis, reports on performance, and collaborates with stakeholders to improve operational efficiency and customer experiences.

The Senior Data Science Engineer will analyze vast amounts of data to solve pricing problems, develop advanced analytics and machine learning models, and collaborate with teams to leverage data for business solutions. Responsibilities include designing experiments, ensuring data quality, deploying machine learning models, and maintaining documentation.

The Refurbishment Engineer is responsible for overseeing all refurbishment activities for incoming cars, conducting quality checks, planning work cycles with engineers, and optimizing job orders while ensuring deadlines are met and standards are maintained.

As a QA Engineer, you will execute exploratory tests, write comprehensive test cases, document bugs, perform regression testing, analyze test results, and collaborate with developers to address issues affecting product quality.

As a Senior Mobile Software Engineer, you will develop new features for mobile applications using React Native, collaborate with cross-functional teams, release apps on iOS and Google Play stores, and participate in agile ceremonies. You will utilize modern tools and stay updated on mobile development trends.

The Performance Marketing Lead at Sylndr will strategize, implement, and optimize marketing campaigns across paid social channels to enhance traffic and ROI. Responsibilities include managing budgets, analyzing campaign performance, collaborating with growth teams, and identifying growth opportunities. The role requires data-driven decision making and strong communication skills.