Data Scientist

Drury Hotels Company, LLC

$80K — $110K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Strong grasp of data analytics methods and statistical modeling
  • Familiarity with data science techniques and tools
  • Experience with SQL Server for managing large datasets
  • Proficient in analytic technologies like R and Python
  • Understanding of AI applications in analytics

Responsibilities

  • Collaborate with team members to apply data science methods
  • Provide recommendations based on data analysis insights
  • Identify business opportunities through trend analysis
  • Conduct and formulate analysis using data science tools
  • Ensure accurate interpretation of data for stakeholders
  • Explore and understand emerging concepts in data analytics
  • Identify appropriate data sources and management techniques

Benefits

  • Collaborative team environment
  • Access to advanced data science tools and technologies
  • Opportunities to explore and implement AI and machine learning
  • Involvement in shaping business decisions through data insights
  • Professional development within a growing company
Full Job Description
Property Location:
13075 Manchester Rd - St. Louis, Missouri 63131

Summary

The Data Scientist works closely with Drury team members to support their objectives through the application of data science and analytic methods, tools, and techniques. The Data Scientist is looked upon to provide recommendations and direct input to, and works with stakeholders to gain insights, identify trends, identify business opportunities, test hypothesis, and measure and analyze business outcomes. The Data Scientist is responsible for working with stakeholders and consumers of this analysis, data and reporting to ensure consistent and accurate interpretation of the information.

The Data Scientist is responsible for formulating and conducting appropriate and applicable analysis and is responsible for identifying and employing appropriate data science tools and techniques including Artificial Intelligence, exploratory data analysis, data engineering, visualization, A/B testing, data mining, predictive modelling and other data analytics techniques. The Data Scientist must also determine appropriate data sources and the tools, techniques and methodologies to obtain, extract and manage the data required to produce meaningful results.

Strong skills in study design and analysis are key. The Data Scientist will be looked upon to explore and understand emerging concepts, tools and techniques including understanding of artificial intelligence, machine learning and "big data" trends, tools and opportunities - and will identify applications for these within the business.

Qualifications

To perform this job successfully, an individual must have a strong grasp of data analytics, including selection of appropriate statistical methods and modelling at both theoretical and technical levels. A working knowledge of common data science techniques. Experience with SQL Server to generate and evaluate very large datasets, a working knowledge of analytic technologies such as R/Python, and the application of Artificial Intelligence in the analytics space is also highly desired.

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