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Senior Data Scientist

4 months ago

Gurugram, India ZIGRAM Full time

Job requirements:

  • Lead and manage a team of data scientists that is innovative, collaborative, and customer-focused
  • Hands on involvement in development and deployment of data science components
  • Identify and develop strategies and solutions to solve business problems
  • Customer focused product development by using programmatic logic, data driven approaches and machine learning algorithms
  • Actively deploying machine learning models in real-world production environments, ensuring scalability, performance, and reliability
  • Analytically approach problems and quantify KPI’s statistically  Spots and manages data development challenges in the organization
  • Responsible for data science professional development of the team and training in the use of modern data science tools.
  • Create models to understand and help the business create improved customer journeys, better go-to-market plans, and product changes
  • Performs research and builds core understanding of the company performance metrics to qualitatively inform and interpret models.
  • Standardizes methods and algorithms used across the business unit.
  • Develops and maintains standard software libraries and associated documentation
  • Collaborate cross-functionally with product teams, engineering teams, and key stakeholders dedicated to improving our customer experience


Background of the candidate:

  • Degree in Computer Science, Data Science, Mathematics, Statistics or similar field
  • 5+ years of progressive relevant work  Demonstrated capacity to lead/manage and mentor teams Expertise in traditional and advanced data science techniques and tools, including machine learning (supervised/unsupervised learning), and statistical analyses
  • In-depth knowledge of theoretical and computational methods in statistics, mathematics, and machine learning
  • Hands on experience in end-to-end module development including data collation, data munging, model training, model selection, analytics & delivery
  • Experience in dealing with large volumes of textual data and using NLP models and techniques at scale
  • Experience architecting data integrations and running data flows to support complex data initiatives
  • Proficient in the use of relational database systems (MS SQL, SQL Lite, MySQL), comfortable with Postgres, as well as good understanding how the DB engine works
  • Knowledge of cloud technologies (Google Cloud Platform, AWS, Azure, etc.)
  • Experience with one or more machine learning and NLP frameworks such as Scikit Learn, PyTorch, Spacy, Huggingface, Tensorflow, Pyspark, NLTK
  • Experience with ML interpretability packages (Eli5, SHAP, LIME and so on)
  • Experience with data visualization software and techniques (Power BI, Tableau, Seaborn)