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The Senior Data Scientist role involves leveraging expertise in data science and machine learning to drive insights and uncover business opportunities. Candidates should have a strong background in statistics, predictive analytics, and programming languages such as Python and R. The position requires 7+ years of experience in a consulting environment, with responsibilities including data wrangling, model tuning, and stakeholder communication. A master's degree is preferred, and the role offers flexible work options.
Job Responsibility:
Driving new data insights to uncover business opportunities & revenue streams
Have a firm understanding of statistics and data visualization for communication
Has an understanding of business growth areas & how to utilize important data
Be responsible for identifying new analytic trends/ data needs and repeatable analytic solutions
Able to work with key stakeholders to generate hypotheses and create analytic models that answer impactful business questions
Identifies, analyzes and interprets trends or patterns in complex data sets using various supervised and unsupervised ML algorithms such as regression, classification or clustering ML approaches where applicable
Be experienced in Data Wrangling and Dynamic Model Tuning
Working on projects leveraging your expertise in data science, artificial-intelligence and machine learning
Assist in breaking down complex business problems, developing solutions, and delivering with a high degree of focus on client satisfaction
Conduct market research, develop a point-of-view and communicate effectively back to clients and stakeholders
Bring innovative thinking, resourcefulness leveraging best practices and creativity to achieve successful client outcomes
Establish relationships with our clients at the appropriate levels, gain an understanding of the project work and problems encountered
Work with data sets of varying degrees of size and complexity including both structured and unstructured data
Piping and processing massive data-streams in distributed computing environments
Implement batch and real-time model scoring
Assemble large, complex data sets that meet functional / non-functional business requirements
Apply business knowledge to analyze data, develop reports and solve problems
Perform ad hoc analyses of data depending on business needs
Participate in the analysis and resolution of issues related to information flow and content with data stakeholders
Requirements:
7+ years of experience supporting data science projects in a consulting environment
7+ years of experience participating in projects that focused on one or more of the following areas: Predictive Analytics, Data Design, Statistics, AI/ML, ML Ops
7+ years of experience using Python and/or R to analyze disparate datasets
Must have ability to both drive development as an individual developer as well as oversee more junior developers
Nice to have:
Master’s degree preferred
Exercises sound judgment with minimal support from practice executives through structured problem identification, mitigation, and resolution
You are a team player that is a consistent, dependable performer with an excellent work ethic, flexible "can-do" attitude, and a commitment to success
Professional verbal and written communication
Undergraduate or Graduate degree preferred
2+ years of experience architecting high-impact GenAI solutions for diverse clients