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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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