Data Scientist

Role Bullets

Assess which AI/ML tools will be best suited to solve client problems using available data

Apply statistical techniques to select create and evaluate performance of AI/ML models

Prepare data for statistical modeling

Communicate with client stakeholders to ensure that AI/ML models are consistent with client needs

Assist in deep data exploration processes

Document implementation details for deployed AI/ML models

Job Description

The Data Scientist will apply statistical techniques and AI/ML modeling to data and problems as client needs and project specifications demand. Their responsibilities will include coordination with the Data Architect Data Analysts and Business Analyst in data exploration evaluation and analytic/AI/ML planning. Data Scientists will also coordinate data preparation/transformation for analytic processes with Data Engineers and AI/ML Engineers. They will primarily be responsible for creating evaluating and documenting AI/ML models.

Qualifications

Familiarity with any requisite data architecture or technologies used by the client (AWS)

Experience with AWS Sagemaker tools and ML model orchestration in the AWS platform in general

3 years of coding experience in Python for statistical modeling and/or data science

Experience writing and deploying statistical modeling tools and/or AI/ML models.

Experience and familiarity with common data science technologies (Torch SKLearn TensorFlow etc.)

Common Optional Qualifications

3 years of experience with SQL

Specific qualifications will likely need to be tailored to the exact kind(s) of statistical or AI/ML inference needed by the client