Yulu Bikes Hiring Drive 2023 For Data Scientist | Best Opportunity

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Yulu Bikes Hiring Drive 2023: Yulu Bikes Is hiring for a job role of  Data Scientist for Bangalore Location. Interested Jobseekers With 1-3 Years Of Experience candidates can apply for this job role ASAP. The detailed eligibility and application process is given below.

Company Name: Yulu Bikes

Role: Data Scientist

Location: Bangalore

Experience: 1-3 Years

Qualification: Any Graduate, Any Postgraduate

Batch: Any Batch

Salary: 8.8 LPA (Estimated)

Yulu Bikes Hiring Drive 2023

Job Description:

  • As a Data Scientist, You will undertake data collection, pre-processing and analysis to build models to address business problems and represent information using data visualization techniques, understanding human behaviour to determine what to look for in data.
  • You will be at the forefront as this role would require strong collaboration across various teams and be the focal point for all stakeholders nearly in all functions. 

Key Responsibilities 

  • Responsible for analysing and mining data to improve operational efficiency and drive optimization. 
  • Be highly data driven and customer/operations focussed to understand opportunities for improvement through deep analysis. 
  • Solving problems using statistical programming languages like Python/R to draw insights from large data sets. 
  • Ability to use predictive models to increase utilization/revenue and optimize customer experience. 
  • Build models for logistics optimization 
  • Build models for supply chain optimization 
  • Coordinate with different business verticals to implement new models and monitor outcomes. 
  • Assess the effectiveness of the data and data sources.

Key Requirements

  • 1-3 years of hands-on experience as a Data Scientist, working on real-world projects. 
  • Proficiency in Python programming and libraries such as Pandas, NumPy, and matplotlib for data manipulation, analysis, and visualization. 
  • Strong data visualization skills using tools such as matplotlib, Plotly, Folium, Streamlit to effectively communicate insights from complex datasets. 
  • Strong understanding of classical machine learning and deep learning algorithms. 
  • Experience with time series analysis and forecasting methods. 
  • Solid understanding of statistical concepts and their application to data analysis.
  • Knowledge of constraint optimization (OR-tools, python-pulp) is a plus. 

Skills Required

  • Python,
  • matplotlib,
  • pandas,
  • Numpy

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