Data Scientist - Starcom consulting limited

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

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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.)

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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