Data Science

JD Manager Data Science. At KAVI INDIA, we rely on insightful data to power our systems and solutions. Were seeking experienced data scientist to deliver insights daily. The ideal candidate will have mathematical and statistical expertise, along with natural curiosity and a creative mind. While mining, interpreting, and cleaning our data, this person will be relied on to ask questions, connect the dots, and uncover hidden opportunities for realising the datas full potential. As part of a team of specialists, the data scientist will slice and dice data using various methods and create new visions for the future


Objectives of this role. Collaborate with product design and engineering teams to develop an understanding of needs. Research and devise innovative statistical models for data analysis. Communicate findings to all stakeholders. Enable smarter business processes by using analytics for meaningful insights. Keep current with technical and industry developments. Responsibilities. Lead a team of data scientists to develop strategies for our products that serve global clientele
Drive analytics projects end-to-end in partnership with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy
Influence product direction through clear and compelling presentations to leadership
Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches
Contribute towards advancing the Data Science discipline at Kavi, including but not limited to driving data best practices
improving analytical processes, scaling knowledge and tools, and mentoring other data scientists
Execute analytical experiments to help solve problems across various domains and industries
Identify relevant data sources and sets to mine for client business needs and collect large structured and unstructured datasets and variables
Devise and utilize algorithms and models to mine big-data stores; perform data and error analysis to improve models; clean and validate data for uniformity and accuracy. Required Skills And Qualifications
12 or more years of experience in data science with higher pedigree. Proficiency with data mining, mathematics, and statistical analysis. Advanced experience in pattern recognition and predictive modelling. Experience with Excel, PowerPoint, Tableau, SQL, and programming languages (ex: Java/Python, SAS). Ability to work effectively in a dynamic, research-oriented group that has several concurrent projects Preferred skills and qualifications. Masters degree (or equivalent) in statistics, applied mathematics, or related discipline. 8 or more years of project management experienc. Show more Show less