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.
More Information
- Salary Offer 0 ~ $3000
- Experience Level Senior
- Total Years Experience 0-5
- Dropdown field Option 1