Job Description

CricViz is seeking a talented Data Scientist to join our dynamic team. In this role, you will leverage our extensive cricket data to generate valuable insights, develop predictive models, and create fan engagement tools that drive revenue growth across our key verticals. You will collaborate closely with the Data Science and Product teams, and other stakeholders to support the data-driven growth of the business. Responsibilities Data Analysis & Modeling: Analyze complex cricket datasets to extract meaningful insights and support business decisions. Develop and implement predictive models using machine learning and statistical techniques. Collaborate with the team to enhance existing models and develop new analytical tools Product Development: Work with the Product team to integrate data science solutions into our product offerings. Contribute to the creation of performance analysis tools for clients in Professional Cricket teams and the Broadcast and Media sectors. Assist in the development of data-driven features for clients in the Fantasy and Gaming space. Best Practices & Continuous Improvement: Adhere to industry best practices in data science, including model development, validation, and documentation. Stay updated with the latest advancements in machine learning and AI to incorporate into CricViz s offerings. Participate in code reviews and contribute to maintaining high-quality standards within the data science team. Experience & Education: Bachelor s or Master s degree in Data Science, Statistics, Computer Science, Mathematics, or a related field. 2+ years of professional experience in Data Science or equivalent academic experience demonstrating relevant skills, preferably with some exposure to the sports sector. Technical Skills: Proficiency in Python (especially the PyData stack: pandas, numpy, scikit-learn, XGBoost), and experience with Git for version control is essential. Strong understanding of machine learning algorithms including linear/logistic regression, decision trees, random forests, unsupervised methods, and neural networks. Experience with Bayesian and mixed models is a plus. Experience in building, validating, and deploying predictive models, ensuring they meet business objectives. Experience with data visualisation tools such as Matplotlib, Tableau, Plotly, Dash. Familiarity in leveraging automation and AI tools for coding and writing purposes is a plus. Analytical & Problem-Solving Skills: Ability to work with large, complex datasets and derive actionable insights. Proven track record of developing models that simplify data for non-technical audiences. Collaboration & Communication: Excellent communication and interpersonal skills to effectively collaborate with team members and stakeholders. Ability to present complex information clearly and concisely to diverse audiences. Industry Knowledge: A strong understanding and passion for cricket is highly desirable. Familiarity with the fantasy and gaming space within sports is a plus. Benefits 25 days holiday plus bank holidays Hybrid role with an expectation to work from our new office in Mumbai Flexible Employee Benefits