Chief Analytics Officer

1 week ago

Meerut, Uttar Pradesh, India beBeeDataScience Full time ₹ 15,00,000 - ₹ 20,00,000

Job Description:

We are seeking a seasoned professional to join our team as a Senior Data Scientist. In this role, you will be responsible for applying machine learning, deep learning, and artificial intelligence techniques to drive business growth.

As a Senior Data Scientist, you will utilize advanced analytics methods to extract valuable insights from large datasets. You will perform large-scale experimentation and build data-driven models to answer complex business questions.

Key Responsibilities:

  • Apply machine learning, deep learning, and artificial intelligence techniques to drive business growth.
  • Utilize advanced analytics methods to extract valuable insights from large datasets.
  • Perform large-scale experimentation and build data-driven models to answer complex business questions.
  • Create hypotheses and experiments to identify hidden relationships and construct new analytics methods.
  • 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.
  • Ability to communicate complex results to technical and non-technical audiences.
  • Excellent verbal and written communication skills.
  • Support and comply with company policies and procedures.

Requirements:

To succeed in this role, you must have the following qualifications:

  • 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.
  • Proficient in Microsoft Office.

Preferred Qualifications:

While not required, the following qualifications would be beneficial:

  • Master's degree in science, technology, engineering, mathematics, or related field.
  • Experience in cloud environments.
  • Professional working knowledge of distributed computing and big data technologies, such as Spark or related technologies.
  • Professional working knowledge of statistical methodologies and tools (R, SAS, SPSS, etc.), mathematical optimization, control theory, and time-series analysis.
  • Professional working knowledge of Natural Language Processing, Information Retrieval, or Recommender Systems.

What We Offer:

We offer a competitive salary and benefits package, including health insurance, retirement savings plan, and paid time off.

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