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

Youre a fit for the role of Senior Data Scientist if your background includes:

Experience- 6-5 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), POC s 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.

Senior Data Scientist

Job Description

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