Data Scientist/Engineer

Job Title: Data Scientist/Engineer

Location: Remote Role

Interview: Video Interview

Description:

Key Responsibilities:

• Supplement the ML model migration team focusing on migration of the existing 80+ ML models to the new cloud environment, deploy models, perform quality testing, and evaluation of models, and then retrain/tune models as required for production

• 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.

Basic Qualifications:

• 4+ years of experience supporting data science projects in a consulting environment.

• 4+ year(s) of experience participating in projects that focused on one or more of the following areas: Predictive Analytics, Data Design, Statistics, AI/ML, ML Ops

• 3+ years of experience using Python and/or R to analyze disparate datasets.

• Experience with Databricks, Pyspark, Azure Data Factory, GitHub, Azure Data Lake Storage (ADLS)

• Experience testing ML models

Preferred Skills:

• 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