Thomson Reuters Hiring Drive 2024 For Data Scientist | Location Bengaluru

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Thomson Reuters Hiring Drive 2024: Thomson Reuters Hiring Drive 2024 for its Data Scientist. Thomson Reuters Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a Bachelor’s degree in computer science, statistics, or a related field. if you are interested, please apply as soon as possible.

Company Name: Thomson Reuters

Role: Data Scientist

Location: Bengaluru

Experience: 2+ years

Qualification: Bachelor’s degree in computer science, statistics, or a related field.

Batch: Any

Job Type: Full Time

Salary: 10.5 LPA (Expected)

Thomson Reuters Hiring Drive 2024

Job Description:

  • As a Data Scientist within our Global Tax Technology organization, you will drive the integration of data science into our tax technology products and services.
  • Collaborating closely with business partners, you will identify requirements, design experiments, develop models, evaluate performance, and implement solutions.
  • This role involves engaging with various teams across the organization, including product management, development, QA, support, and external vendors.

Requirements:

  • Bachelor’s degree in computer science, statistics, or a related field.
  • 2+ years of experience in data science or applied mathematics.
  • Proficiency in SQL and experience working with large relational databases.
  • Familiarity with data warehousing concepts and dimensional data modeling.
  • Strong analytical skills with the ability to derive insights from complex datasets.
  • Experience developing machine learning models and evaluating their performance.
  • Proficiency in Python programming language.
  • Effective communication and presentation skills.
  • Passion for tackling complex challenges and creating business value through data.

Responsibility:

  • Apply statistical methods and machine learning algorithms to enhance complex systems and processes.
  • Utilize exploratory analysis techniques (e.g., regression, classification, clustering) to identify patterns within extensive datasets.
  • Construct predictive models (e.g., linear regression, decision trees, random forest) and assess their performance using metrics like accuracy, precision, and recall.
  • Conduct statistical tests to analyze datasets and identify significant differences between groups.
  • Communicate findings effectively through clear visualizations and reports.
  • Collaborate with cross-functional teams to align business objectives with analytical solutions.
  • Design and implement A/B testing strategies to measure the impact of interventions on key metrics.
  • Ensure timely and high-quality delivery of data science projects within scope.

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