Job highlights

- 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 .

About the Role

- 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





About You

- 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.)

- 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

- Proficient in machine learning, statistical modelling, and data science techniques

- Experience with one or more of the following types of business analytics applications:

- Predictive analytics for customer retention, cross sales and recent customer acquisition

- Pricing optimization models

- Segmentation

- Recommendation engines

- Experience in one or more of the following business domains

- Customer Experience and Service

- Finance

- Operations

- 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

📌 Sr. Data Scientist (Bengaluru)
🏢 Thomson Reuters
📍 Bengaluru