Key Responsibilities: - Manage end-to-end delivery of data science projects. - Develop and validate predictive models using analytical tools - Collaborate with BD team, product managers, data engineers, and other teams to deploy analytical solutions. - Support internal teams in developing in-house products / analytical solutions - Build models for descriptive and predictive analytics, explore natural language understanding, conversational AI, forecasting and automation. - Provide expertise in data wrangling, exploratory data analysis and feature engineering with large data sets. - Support the development of proofs of concept to demonstrate the application of analytical capabilities in solving customer problems in collaboration with product and other development teams. - Align the technology solution with a business goal. Qualifications: - Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or other quantitative fields. - Familiarity with Agile methodologies and software development project management. - Excellent written and verbal communication skills, with experience presenting complex technical information to non-technical audiences. - Demonstrated flexibility, creativity, and patience in adapting to new situations and changing needs. - Strong business acumen. Skills: - Proven skills in translating analytics output to actionable recommendations and delivering the same to key stakeholders. - Experience with extracting and aggregating data from large datasets. - Experience in understanding and analyzing data using statistical software (e.g., Python, R, SQL, PySpark or others). - Competence in Excel, PowerPoint, and BI tools such as Tableau, PowerBI, etc. - Assess the effectiveness and accuracy of new data sources and data gathering techniques. - Develop custom data models and algorithms to apply to datasets. - Use predictive modeling to increase and optimize customer experiences, revenue generation, data insights, and other business outcomes. - Develop processes and tools to monitor and analyze model performance and data accuracy. - Partner with key stakeholders/clients to understand the problem statement and convince them with data. - Extract and understand data to form an opinion on how to best help our partners and derive relevant insights. - Develop visualizations to make complex analyses accessible to a broad audience. - Leadership and Stakeholder Management. - High attention to detail and quality. - Highly adaptive, comfortable working within a complex environment.

Delhi

Lemon Tree Hotels - Data Scientist 

Job Description for Lemon Tree Hotels - Data Scientist  in Lemon Tree Hotels in  Delhi for (2-10) years of experience. Apply Now!