Senior Data Scientist Position at Thomson Reuters
4 days ago
Senior Data Scientist Opportunity at Thomson Reuters
We are looking for a highly skilled Senior Data Scientist to join our Data & Analytics organization at Thomson Reuters. As a Senior Data Scientist, you will play a critical role in working on cutting-edge analytics, leveraging predictive models, machine learning, and generative AI to drive business insights and facilitate informed decision-making.
About the Role
- Engage with stakeholders, business analysts, and project teams to understand data requirements.
- Work in multiple business domain areas, including Customer Service, Finance, Sales, and Marketing.
- Design analytical frameworks to provide insights into business problems.
- Explore and visualize multiple data sets to understand available data and prepare data for problem-solving.
- Build machine learning models and/or statistical solutions.
- Develop predictive models and generative AI solutions.
- Apply Natural Language Processing to extract insights from text.
- Design database models to aggregate data for modeling.
- Develop visualizations and build dashboards in Tableau and/or PowerBI.
- Extract business insights from data and models.
- Present results to stakeholders using PowerPoint and/or dashboards.
About You
- Experience in machine learning and AI, with 6-10 years in the field.
- Minimum 3 years of experience in the data science domain.
- Quantitative degree (Computer Science, Statistics, etc.).
- Technical and business acumen required.
- Proficient in machine learning, statistical modeling, data science, and generative AI techniques.
- Highly proficient in Python and SQL.
- Experience with Tableau and/or PowerBI.
- Worked with Amazon Web Services and Sagemaker.
- Ability to build data pipelines for data movement using Alteryx and GLUE.
- Experience in predictive analytics for customer retention, upsell/cross-sell products, and new customer acquisition.
- Familiarity with Natural Language Processing, including feature extraction techniques, word embeddings, topic modeling, sentiment analysis, classification, sequence models, and transfer learning.
- Knowledgeable of AWS APIs for machine learning.
- Experience with Snowflake.
- Good presentation skills and ability to communicate complex results simply and concisely.
- Consulting experience with a premier consulting firm.
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