Senior Business Intelligence Analyst

2 weeks ago

Pushkar, Rajasthan, India beBeeData Full time US$ 1,50,000 - US$ 2,50,000

Job Summary:

We are seeking a highly skilled and experienced Senior Data Scientist to join our team at Mitchell-Martin-Inc. has been replaced.

The ideal candidate will have a strong background in machine learning, deep learning, and artificial intelligence techniques. With expertise in large-scale experimentation, data-driven models, and analytics methods, they will extract value from business data.

Responsibilities:

  • Develop and implement Markov decision process models and healthcare economic models.
  • Visualize information and develop reports on results of data analysis.
  • Influence product teams through presentation of data-based recommendations.
  • Spread best practices to analytics and product teams.
  • Implement new tools to make data analysis more efficient.

Requirements:

  • Bachelor's degree in computer science, data science, information technology, or related field.
  • 3+ years of professional experience working with large datasets for drawing business insights.
  • 1+ years of experience in a data science role.
  • Professional working knowledge of machine learning; including solving complex business problems, predictive modeling, leveraging both structured and unstructured data sources, relational databases, and SQL.
  • Professional working knowledge of statistics and modeling techniques.
  • Fluent in Python or R programming.
  • Demonstrated ability to learn new technologies.
Data Science Job Description

A data scientist is someone who can analyze vast amounts of data to uncover patterns and trends that inform business decisions. They apply statistical and analytical techniques to identify opportunities and solve problems. A successful data scientist should be able to understand the organization's goals and objectives and provide actionable insights that align with those goals.

Key Skills and Qualifications

  1. Strong foundation in statistics, probability, and linear algebra.
  2. Experience working with data visualization tools such as Tableau, Power BI, or D3.js.
  3. Proficiency in one or more programming languages such as Python, R, or SQL.
  4. Familiarity with machine learning algorithms and their applications.
  5. Ability to communicate complex technical concepts to non-technical stakeholders.

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