Senior Data Scientist 51 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.