Job Summary

As a Data scientist you will solve some of the most impactful business problems for our clients using a variety of AI and ML technologies. You will collaborate with business partners and domain experts to design and develop innovative solutions on the data to achieve predefined outcomes.

Job Location

Roles & Responsibilities

• Engage with clients to understand current and future business goals and translate business problems into analytical frameworks
• Develop custom models based on in-depth understanding of underlying data, data structures, and business problems to ensure deliverables meet client needs
• Create repeatable, interpretable and scalable models
• Effectively communicate the analytics approach and insights to a larger business audience
• Collaborate with team members, peers and leadership at Tredence and client companies

Qualification & Experience

1. Bachelor's or Master's degree in a quantitative field (CS, machine learning, mathematics, statistics) or equivalent experience.
2. 2-4  years of experience in data science, building hands-on ML models
3. Experience leading the end-to-end design, development, and deployment of predictive modeling solutions.
4. Excellent programming skills in Python. Strong working knowledge of Python’s numerical, data analysis, or AI frameworks such as NumPy, Pandas, Scikit-learn, Jupyter, etc.
5.  Advanced SQL skills with SQL Server and Spark experience.
6. Knowledge of predictive/prescriptive analytics including Machine Learning algorithms (Supervised and Unsupervised) and deep learning algorithms and Artificial Neural Networks
7. Experience with Natural Language Processing (NLTK) and text analytics for information extraction, parsing and topic modeling.
8. Excellent verbal and written communication. Strong troubleshooting and problem-solving skills. Thrive in a fast-paced, innovative environment
9. Experience with data visualization tools — PowerBI, Tableau, R Shiny, etc. preferred
10. Experience with cloud platforms such as Azure, AWS is preferred but not required