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
Skills: sql,ml,data science,aws,python for data analysis