Key Skills
Java Programming, Analytical and Problem solving, Python Programming, SQL, PowerBI, Alteryx, Keras software library, PyTorch, Tableau, Scikit-learn, Natural Language Toolkit - NLTK, Informatica, Powerpoint, AWS Glue
Job Description
- Work with low to minimum supervision to solve business problems using data and analytics
- Work in multiple business domain areas including Customer Experience and Service, Operations, Finance, Sales and Marketing
- Work with various business stakeholders, to understand and document requirements
- Design an analytical framework to provide insights into a business problem
- Explore and visualize multiple data sets to understand data available for problem solving
- Build end to end data pipelines to handle and process data at scale
- Build machine learning models and/or statistical solutions
- Build predictive models
- 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
- Work collaboratively with other team members
Required Education, Business and Technical Skills and Experience:
- Must have a minimum of 2 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, and data science techniques
- Has used frameworks/libraries such as Scikit-learn, PyTorch, Keras, NLTK
- Highly proficient in Python
- Highly proficient in 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, Informatica
Experience with one or more of the following types of business analytics applications:
- Predictive analytics for customer retention, cross sales and new customer acquisition
- Pricing optimization models
- Segmentation
- Recommendation engines
- Experience in one or more of the following business domains
- Customer Experience and Service
- Finance
- Operations
- Good presentation skills and the ability to tell stories using data and Powerpoint/Dashboard Visualizations
- Excellent organizational, analytical and problem-solving skills
- Ability to communicate complex results in a simple and concise manner at all levels within the organization
- Ability to excel in a fast-paced, startup-like environment
Nice to have Education, Business and Technical skills and Experience:
- Consulting Experience with a premier consulting firm
- Advanced degree in a quantitative field (ex. Master’s, PhD)
- Additional Technical skills
- Familiar 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
Company Info.
Thomson Reuters Corporation
Thomson Reuters Corporation is a Canadian multinational media conglomerate. The company was founded in Toronto, Ontario, Canada, where it is headquartered at the Bay Adelaide Centre.
-
Industry
Media
-
No. of Employees
24,400
-
Location
Toronto, Ontario, Canada
-
Website
-
Jobs Posted
Get Similar Jobs In Your Inbox
Thomson Reuters Corporation is currently hiring Data Scientist Jobs in Bangalore, Karnataka, India with average base salary of ₹600,000 - ₹1,000,000 / Year.