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Senior Data Scientist @ Thomson Reuters

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 Senior Data Scientist

Job Description

We are looking for a highly motivated individual with strong organizational and technical skills for the position of Senior Data Scientist. You will play a critical role working on cutting edge of analytics, leveraging predictive models, machine learning and generative AI to drive business insights and facilitating informed decision-making and help Thomson Reuters rapidly scale data-driven initiatives.
About the Role
In this opportunity as Senior Data Scientist, you will:
  • Engage with stakeholders, business analysts and project team to understand the data requirements.
  • Work in multiple business domain areas including Customer Service, Finance, Sales and Marketing.
  • Design analytical frameworks to provide insights into a business problem.
  • Explore and visualize multiple data sets to understand data available and prepare data for problem solving.
  • Build machine learning models and/or statistical solutions.
  • Build predictive models, generative AI solutions.
  • Use Natural Language Processing to extract insight from text.
  • Design database models (if a data mart or operational data store is required to aggregate data for modeling).
  • Design visualizations and build dashboards in Tableau and/or PowerBI.
  • Extract business insights from the data and models.
  • Present results to stakeholders (and tell stories using data) using power point and/or dashboards.
About You
You're a fit for the role of Senior Data Scientist if your background includes:
  • Experience 5-6 Years in the field of Machine Learning & AI
  • Must have a minimum of 3 years of experience working in the data science domain
  • Degree preferred in a quantitative field (Computer Science, Statistics, etc.)
  • Both technical and business acumen is required
  • Technical skills
  • Proficient in machine learning, statistical modelling, data science and generative AI techniques
  • Highly proficient in Python and SQL
  • Experience with Tableau and/or PowerBI
  • Has worked with Amazon Web Services and Sagemaker
  • Ability to build data pipelines for data movement using tools such as Alteryx, GLUE
  • Experience Predictive analytics for customer retention, upsell/cross sell products and new customer acquisition, Customer Segmentation, Recommendation engines (customer and AWS Personalize), POCs in building Generative AI solutions (GPT, Llama etc.,)
  • Hands on with Prompt Engineering
  • Experience in Customer Service, Finance, Sales and Marketing
  • Additional Technical skills include 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
  • Has worked with Snowflake extensively.
  • Good presentation skills and the ability to tell stories using data and Powerpoint/Dashboard Visualizations.
  • Ability to communicate complex results in a simple and concise manner at all levels within the organization.
  • Consulting Experience with a premier consulting firm.

Job Classification

Industry: Advertising & Marketing
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time

Contact Details:

Company: Thomson Reuters
Location(s): Hyderabad

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Keyskills:   python machine learning sql data science statistical modeling snowflake natural language processing sentiment analysis predictive analytics power bi artificial intelligence alteryx tableau ai techniques segmentation aws statistics

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