3 Rpython Jobs

The ideal candidate for the role of VP Data Science should have a strong background in data analytics, business intelligence, and management. As a visionary leader, you will drive the Data and Analytics, BI function to facilitate data-driven decision-making across the organization. Your responsibilities will include overseeing the development and implementation of machine learning predictive models, BI tools, and systems. It is crucial to ensure data accuracy and integrity while providing actionable insights to various departments. Effective communication, a strategic mindset, and the ability to collaborate with cross-functional teams are essential for success in this role, as you will play a critical part in helping the organization leverage data to achieve its business goals and objectives. Your key responsibilities will involve developing and implementing the overall Data and Analytics, BI strategy, as well as supervising the design, development, and maintenance of predictive models, BI tools, and systems. You will be accountable for ensuring data accuracy, integrity, and security, and providing actionable insights to support business decision-making. Collaboration with cross-functional teams to comprehend their data needs, managing and mentoring a team of data analytics professionals, setting performance goals, and conducting regular performance reviews are also part of your role. Staying updated with the latest trends and technologies, developing and maintaining data governance policies, and delivering presentations to senior management are critical responsibilities. Additionally, monitoring and reporting on key performance indicators (KPIs), identifying opportunities for process improvements, and ensuring compliance with data privacy regulations will be essential in this position. To qualify for this role, you should possess a Bachelor's degree in Computer Science, Information Systems, or a related field, with a Master's degree being preferred. Prior experience in business intelligence/data analytics and a leadership role is required. Proficiency in R/Python, Machine Learning, Databases, Dashboards, as well as a strong understanding of Data Science, Machine Learning, and Data Analytics, are necessary. Familiarity with BI tools and systems, excellent analytical and problem-solving skills, and strong communication and presentation abilities are also essential. Experience with data warehousing, ETL processes, SQL, and other database query languages is expected. The ability to work collaboratively with cross-functional teams, strong project management skills, and knowledge of data governance and data privacy regulations are crucial. Experience in Banking and Financial services, particularly in predictive modeling of regulatory and non-regulatory credit risk domain, would be advantageous. In conclusion, the VP Data Science role demands a dynamic individual who can effectively lead the Data and Analytics, BI function, drive strategic decision-making through data insights, and contribute significantly to the organization's success in achieving its business objectives.,

As a Product Analyst at Landmark Digital, you will play a crucial role in championing data-driven decision-making for the digital function. Your responsibilities will include owning the Ecommerce KPIs of the squad, preparing, monitoring, and reporting them regularly to relevant teams. You will also be tasked with tracking and measuring the incremental value derived from every feature launched by the squad. Your role will involve proactively engaging with product owners to identify high-value impact items on the backlog through data-driven analysis. Additionally, you will interact with business stakeholders to troubleshoot data issues and collaborate with both business and technical teams for quick resolutions. You will lead hypothesis testing of business impact decisions, conduct AB tests for feature launches, and analyze and report their performance regularly. A key aspect of your role will be to deep dive into metrics and issues, present clear recommendations based on data discovery, and collate data from various sources to generate insights for different audience groups, ranging from senior management to tech teams. You will work closely with squads to address any data-related impediments and ensure smooth workflow. To be successful in this role, you should have at least 5+ years of experience in a Product Analyst role within the consumer goods ecommerce sector. You must possess a thorough understanding of customer journeys on ecommerce platforms and be adept at analyzing user funnels, dropouts, conversions, traffic, NPS, reviews, and ratings. Your track record should demonstrate the ability to drive value and influence key business metrics through data-informed product innovation. Proficiency in data analysis tools such as SQL, Big Query, MS Excel Advanced, and Power BI is essential. Experience in data mining, scripting with R/Python, and familiarity with data science and analytics platforms like SAS and Azure Data Bricks will be beneficial. Your communication skills should be top-notch, enabling you to effectively educate stakeholders and motivate them to act on your data-driven recommendations. As a part of the Landmark Digital team, you will work in a dynamic environment where collaboration, innovation, and continuous learning are encouraged. Your role will involve working with cross-functional teams, requiring excellent organizational, time management, analytical, and problem-solving skills. Attention to detail, the ability to prioritize tasks, and meet deadlines will be crucial for success in this position.,

SOTI is committed to providing you with endless possibilities; learning new things, working with the latest technologies, and making a difference in the world. In this role, you will be responsible for designing, developing, and deploying interactive Power BI reports and dashboards to meet the needs of various business units. You will also develop and maintain data models to support business requirements, ensuring efficient data retrieval and reporting. Integration of data from various sources into SQL Server and Azure Synapse will be crucial to ensure data accuracy and consistency. Collaboration is key in this role as you will work closely with stakeholders, including business analysts, data scientists, and management, to gather requirements and deliver solutions that drive business insights. Additionally, you will be required to create and maintain comprehensive documentation for data models, reports, dashboards, and processes. Monitoring and optimizing the performance of BI solutions and providing support to end-users on Power BI functionalities and best practices will also be part of your responsibilities. To be successful in this role, you should possess excellent analytical, troubleshooting, problem-solving, and research skills. The ability to multitask and interact with a diverse internal user/customer base is essential. You must have 3-5 years of experience in SQL using SQL Server and Azure Synapse Analytics and 2-3 years of experience with Power BI report development and deployment. Experience in BI development and data analysis, as well as with Data Warehouse concepts and ETL tools, is required. Additionally, experience using Cloud architecture, NoSQL databases, R/Python, and building data pipelines to integrate with unstructured data sources is a plus. A background in Sales/Marketing business is also beneficial. Strong written, verbal, and interpersonal communication skills are necessary for this role. If you are passionate about bringing your ideas to life, apply at SOTI today.,