Data Scientist 2

Description -

Job Summary

• This role is responsible for conducting advanced analytics to generate breakthrough insights enabling critical business decision making. The role works on researching, prototyping, building, testing, and improving high complexity analytics models involving advanced diagnostic, predictive and prescriptive statistical modelling. The role is involved in setting up model accuracy targets, and roadmap to improve the accuracy and reliability of the analytical models. The role provides opportunity to work on complex business problems and grow into SME. Responsibilities
• Mines data using modern tools and programming languages.
• Defines and implements models to uncover patterns and predictions creating business value and innovation.
• Incorporates predictive modeling, statistics and other analysis techniques for collecting, exploring, interpreting and extracting insights from structured and unstructured data.
• Performs descriptive statistical analysis, develops visualizations, applications, dashboards, or presentations and communicates insights in a clear and effective way to help the organization with better decision-making.
• Develops algorithms, performs large scale experimentation, builds data driven applications to translate data into intelligence, and develops solutions for solving business problems.
• Programs methods, processes, and systems to consolidate and analyze diverse big data sources, establishing standard methodologies for data science.
• Creates, enhances, and maintains technical documentation, and presents to senior scientists, and business leaders.
• Maintains proficiency within the data science domain by keeping up with technology and trend shifts.
• Collaborates and communicates with project team regarding project progress and issue resolution, and suggests changes or improvements.
• Works with project team to understand problem statements, initiatives and directions from business. Education & Experience Recommended
• Four-year or Graduate Degree in Mathematics, Statistics, Economics, Computer Science, Data Science, or any other related discipline or commensurate work experience or demonstrated competence.
• Typically has 2-4 years of work experience, preferably in data analytics, statistical modeling, machine learning, or a related field or an advanced degree with little or no work experience. Preferred Certifications
• Programming Language/s Certification (SQL, Python, or similar) Knowledge & Skills
• Algorithms
• Amazon Web Services
• Apache Spark
• Artificial Intelligence
• Big Data
• Computer Science
• Data Analysis
• Data Mining
• Data Science
• Data Visualization
• Deep Learning
• Machine Learning
• Natural Language Processing
• Predictive Modeling
• Python (Programming Language)
• R (Programming Language)
• SQL (Programming Language)
• Statistical Modeling
• Statistics
• Tableau (Business Intelligence Software) Cross-Org Skills
• Effective Communication
• Results Orientation
• Learning Agility
• Digital Fluency
• Customer Centricity Impact & Scope
• Impacts immediate team and acts as an informed team member providing analysis of information and limited project direction input. Complexity
• Responds to routine issues within established guidelines. Disclaimer
• This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.

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Equal Opportunity Employer (EEO)-

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