Senior Data Scientist

Senior Data Scientist

What You Will Do: Key Responsibilities

• Apply and/or develop statistical modeling techniques

  such as deep neural networks, Bayesian models, Generative AI, and Forecasting, along with other Machine Learning (ML) techniques.

• Synthesize complex problems into data question(s)

  , guiding the analytical approach.

• Convert raw data into practical and actionable insights

  that drive business value.

• Analyze and investigate data quality

  for identified data, communicating findings to Product Owners, Business Analysts, and other relevant stakeholders.

• Collect, explore, and perform analysis on data

  to extract information suitable for business needs. Identify data gaps, aggregate data as per business requirements, and design and perform

  Data Analysis, Data Validation, Data Transformation, and Feature Extraction

  .

• Decide on the approach for addressing business needs

  with Data & Analytics. Understand end-user needs and work accordingly to identify new features in the data.

• Develop Data Science and Engineering Infrastructure & Tools

  .

• Derive key metrics suitable for the use-case

  and present the analysis to key stakeholders effectively.

What You Will Bring: Required Qualifications

• A

  Bachelor's or higher degree

  in Computer Science, Statistics, Mathematics, or related disciplines.
• Ability to

  analyze data and communicate outcomes to key stakeholders

  , exploring new data sources.

• Excellent coding skills in Python, R, SQL

  , etc.
• Understanding of

  cloud services

  .
• Evidence of

  academic training in Statistics

  .

• Deep/broad knowledge of machine learning, statistics, optimization

  , or a related field.
• A genuine

  curiosity about new and applied technology and software engineering

  , coupled with a high degree of business understanding.
• Experience in

  Generative AI and Large Language Models (LLMs)

  .

Preferred Qualifications

• Experience in

  large-scale product development

  is a plus.