Lemon Tree Hotels - Principal Data Scientist - Python/PySpark

Lemon Tree Hotels


Date: 11 hours ago
City: Delhi, Delhi
Contract type: Full time
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 :
  • 8-10 years of experience in related data science fields.
  • Preferred : Masters 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 :
  • 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, Power BI, 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.

(ref:hirist.tech)
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