Senior Manager - Data Science

Description:We are Asia’s fastest-growing skill-based gaming company and partner brand of Flutter, which is a multi-billion dollar global gaming organization. We are focused on providing our customers with the most innovative and exciting gaming experience possible. Our success has been driven by our commitment to excellence, our passion for gaming, and our ability to continuously innovate. We are driven by our strong value system, which encompasses an obsession with data, a hustler’s attitude, an owner's mindset, leading with love, and embracing change.As our Manager/Senior Manager of Data Science, you will oversee a team of data scientists and drive the development of advanced analytical solutions. You will be responsible for leveraging your technical expertise in Python, machine learning, and statistical modeling to guide projects from inception to implementation. This role requires strong leadership skills, a strategic mindset, and the ability to collaborate effectively across departments.Responsibilities:Lead and mentor a team of data scientists, providing guidance on technical approaches, best practices, and career development.Manage end-to-end data science projects, from problem definition and data exploration to model development and deployment.Collaborate with cross-functional teams to understand business objectives and translate them into actionable data science initiatives.Utilize Python programming skills to manipulate, analyze, and visualize complex datasets.Apply advanced machine learning and statistical modeling techniques to derive meaningful insights and predictions.Ensure the accuracy, reliability, and scalability of models through rigorous testing and validation.Present findings and recommendations to senior management and stakeholders in a clear and concise manner.Stay abreast of industry trends and advancements in data science, machine learning, and AI technologies.Requirements:Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related field.7-10 years of total experience in data science, with at least 1 year of experience in a managerial or team lead role.Minimum 4 years of hands-on experience in Python programming for data analysis and manipulation.Proven expertise in machine learning algorithms, statistical modeling, and data mining techniques.Strong project management skills with the ability to prioritize tasks and meet deadlines in a fast-paced environment.Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.Leadership qualities with a track record of building and managing high-performing teams.Preferred Qualifications:Experience with big data technologies (Hadoop, Spark, etc.) and cloud platforms (AWS, Azure, Google Cloud).Familiarity with data visualization tools such as Tableau, Power BI, or Matplotlib.Previous experience in SQL.About Junglee Games:Junglee Games is a leader in the skill-gaming space, with more than 100 million users. Founded in San Francisco in 2012, and part of the $30 Bn Flutter Entertainment Group, Junglee Games is the fastest-growing skill-gaming company in the world. Some of our notable games are Junglee Rummy, Howzat, Eatme.io, Carron Stars, and Solitaire Gold.Our mission is to build entertainment for millions of people around the world and connect people through high-quality games.Since we were founded, we've drawn 700 of the world’s most talented people into our ranks. Our team has worked on international AAA titles like Transformers, Star Wars: The Old Republic, Real Steel, Rio, Mech Conquest, and Dueling Blades. Our designers have worked on some of Hollywood’s biggest hits including the movie Avatar.Junglee is not just a gaming business - it is a blend of data science, innovation, cutting-edge technology, and, most importantly, a values-driven culture that is creating the next set of conscious leaders. Junglee Games is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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