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Senior Data Scientist 419 views

Job Description

 

Job Title: Senior Data Scientist

Experience: 15+

Job DescriptionProvide Data Analytics & Visualization solutions/support in line with the identified needs and expectations of Analytics & Insights practice.

Responsibilities

  • As a Senior Data Scientist, understands the client requirements for data science and AI/Client opportunities.
  • Applies data science acumen to architect end-to-end data science solutions that best fits the client needs.
  • Understands and considers all pertinent options in terms of data science and AI/Client algorithms, frameworks, solutions, and tools to utilize in architecting solutions.
  • Reviews proposals, develops PoCs, and performs data analysis as per project needs.
  • Provide data science resource and effort estimates as per requirements of projects.
  • Provide oversight to data science solution implementation, with ability to guide a team of data scientists on projects and be hands-on if needed.
  • Build data science and AI/Client solution frameworks, utilities, templates, and other demonstrable assets based on industry demand and client opportunities.
  • Ability to see the big picture and provide suggestions/ guidance for additional data science opportunities related to the problem at hand.
  • Foster a culture of engagement and growth in Data science practice through continuous learning, sharing ideas, adopting data science process improvements, and industry trends and best practices.

Qualifications

  • Skill Profile
  • At least 12-15 years of experience as a Senior Data Scientist in in at least one of the following industries/verticals:
  • Healthcare
  • Telecom
  • Manufacturing
  • Hi-Tech
  • Must have executed at least 3 large programs based on data sciences, with multiple teams to construct an integrated enterprise level solution with automation.
  • Excellent understanding of the end-to-end data science process.
  • Experience with descriptive, predictive, and prescriptive analytics.
  • Proficiency with AI/Client techniques with hands-on model building and solutioning experience using algorithms (Regression, Logistic Regression, SVM, Random Forest, Decision Trees, K-Means, Naive Bayes, Clustering, etc.), and Deep Learning (CNN, RNN, GRU, Beam Search etc.), NLP, NLG.
  • Well versed with at least one of the two programming languages – Python or R
  • Experience with programming packages like Scikit, Keras, Pandas, Numpy etc.
  • Experience with one or more visualization tools Tableau, Power BI, Spotfire, or Qlik.
  • Experience with packages like Matplotlib, Seaborn, D3.js, GGplot etc.
  • Proficiency in using SQL and additionally one of Hive or Pig would be helpful.
  • Experience with one or more NoSQL databases such as MongoDB, Cassandra, or HBase. Experience with unstructured file formats like JSON.
  • Familiarity with Elasticsearch and Kibana is a plus
  • Experience developing apps, dashboards, reports for data performance and utilization using data visualization tools (PowerBI, Tableau, Splunk. Etc.)
  • Customer engagement with strong communication, presentation, and articulation skills.
  • Team player with ability to work in a dynamic environment.

Educational Background

  • Bachelor’s in Mathematics, Statistics, Computer Science/ Engineering or equivalent.
  • Master’s in Predictive Analytics or Data Science from an accredited US university.

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