Tredence : Data scientist / Sr Data Scientist

Brief Description of position:

As a Data scientist / Sr 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.

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


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

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