Senior Data Scientist

1 week ago

gurugram, India Navvyasa Consulting 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

 4+ 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)

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