Manager, Data Science

2 weeks ago

Golden Oak, United States Marriott Vacations Worldwide Full time

Job Summary

The Manager, Data Science is responsible for analyzing large and complex data sets to extract insights and make data-driven decisions.  The Manager uses statistical and analytical techniques to identify patterns, trends, and develop models that can predict outcomes or identify trends.

Relocation Assistance

Key Relationships

IT Data Services Team - To ensure that statistical models are deployed and integrated into production systems in a scalable way by optimizing the data pipelines and utilizing appropriate infrastructure.

Business Facing Analytics Product Owner - To ensure successful development and delivery of D&A products for business domains by developing statistical models to be used for predictions and forecasts.

Data Enablement Team – To ensure that the data used for modeling is of high quality and appropriate for analysis.  Also works to ensure that data is used appropriately and that analyses comply with data privacy regulations.

Responsibilities

  • Analyzes large volumes of data from various sources to identify patterns, trends, and insights.
  • Develops and implements statistical models to make predictions, forecasts, and recommendations based on data analysis.
  • Applies machine learning techniques to analyze data and develop models that can be used to automate business processes, identify anomalies, or optimize performance.
  • Uses data mining techniques to extract valuable insights from large and complex data sets.
  • Designs and conducts experiments to test hypotheses and validate models.
  • Works closely with other teams, such as IT, Data Engineers, Analytics Engineers, and Business Facing Analytics Product Owners, to ensure data is leveraged effectively across the organization.
  • Communicates data insights and findings to both technical and non-technical stakeholders, including executives and decision makers.
  • Stays up to date with the latest trends and technologies in data science and identifies opportunities to apply them to the organization’s needs.
  • Supports the development of business cases and recommendations. Owns delivery of project activity and tasks assigned by others. Supports process updates and changes. Solves business issues.
  • Understand the appropriate data set required to develop simple models by developing initial drafts. Supports the identification of the most suitable source for data. Maintains awareness of data quality.
  • Understands, articulates, and applies principles of the defined data strategy to routine business problems that involve a single function.
  • Selects the analytical modeling technique most suitable for the structured, complex data and develops custom analytical models. Conducts exploratory data analysis activities (for example, basic statistical analysis, hypothesis testing, statistical inferences) on available data. Defines and finalizes features based on model responses and introduces new or revised features to enhance the analysis and outcomes. Identifies the dimensions of the experiment, finalizes the design, tests hypotheses, and conducts the experiment. Perform trend and cluster analysis on data to answer practical business problems and provide recommendations and key insights to the business. Mentors and guides junior associates on basic modeling and analytics techniques to solve complex problems.
  • Supports efforts to ensure that analytical models and techniques used can be deployed into production. Supports evaluation of the analytical model. Supports the scalability and sustainability of analytical models.
  • Writes code to develop the required solution and application features by using the recommended programming language and leveraging business, technical, and data requirements. Test the code using the recommended testing approach.
  • Translates business problems to data related or mathematical solutions. Identifies what methods (for example, analytics, big data analytics, automation) would provide a solution for the problem. Shares use cases and gives examples to demonstrate how the method would solve the business problem.
  • Supports model fit testing and statistical inferences to evaluate performance. Assesses the impact of variables and features on model performance.
  • Generates appropriate graphical representations of data and model outcomes under guidance. Supports the understanding of customer requirements and designs data representations for simple data sets. Presents to and influences the team using the appropriate frameworks and conveys messages through basic business understanding.
  • Demonstrates up-to-date expertise and applies this to the development, execution, and improvement of action plans by providing expert advice and guidance to others in the application of information and best practices; supporting and aligning efforts to meet customer and business needs; and building commitment for perspectives and rationales.
  • Provides and supports the implementation of business solutions by building relationships and partnerships with key stakeholders; identifying business needs; determining and carrying out necessary processes and practices; monitoring progress and results; recognizing and capitalizing on improvement opportunities; and adapting to competing demands, organizational changes, and new responsibilities.

Specific Candidate Profile

Education/Experience

  • Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field with a minimum of two years’ of related analytics experience or commensurate experience
  • Master’s or PhD degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, or Econometrics preferred.
  • 5 years' experience in data science, machine learning, optimization models, or related field.

Skills & Attributes

  • Proven analytical skills with a high degree of energy, self-confidence, integrity, and self-motivation.
  • Proven ability to present data science insights to both technical and non-technical stakeholders.
  • Proven efficiency in Microsoft applications including Excel, Access, and Word.
  • Proven efficiency using open-source frameworks (i.e. scikit learn, TensorFlow, torch, etc.)
  • Successful completion of one or more assessments in Python, Spark, Scala, or R.

Marriott Vacations Worldwide is an equal opportunity employer committed to hiring a diverse workforce and sustaining an inclusive culture.

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