Accolite Digital

Data Scientist - M & T_She Codes

Job description

Develop Code
  • Discuss with C-level leadership, Engineers, Product Managers to formulate hypotheses, solutions and desired outcomes.
  • Act as Subject Matter Expert on ML, Data and AI statistical models and how they apply to business problems.
  • You will help to implement models in Machine Learning, Optimization, Neural Networks, Artificial Intelligence (Natural Language Processing), and other quantitative approaches.
  • Familiarity with Data Engineering techniques to gather, prepare, cleanse and transform data for analysis and AI automation, including data pipelines.
  • Familiarity with getting data from social media - twitter, instagram, reddit, facebook, etc.
  • Create prototypes, minimally viable products
  • Deliver meaningful insights and predictions
  • Demonstrate business value
  • Mentor and coach others in the team

Must Have:
  • A Bachelor/Master/PhD degree in Computer Science Engineering/Data Science/ Operations Research/Statistics/or a related technical degree.
  • Overall 8+ years of working experience
  • 2+ years of hands-on working experience as Data Scientist with deep understanding of Machine Learning and AI algorithms- Linear Regression, Logic Regression, Decision Trees, K-Nearest Neighbors, Neural Networks, Random Forests, NLP/NLU, etc
  • 1+ years of experience with different frameworks such as Tensor flow, PyTorch, Keros, SparkML.
  • 2+ years of hands-on coding experience with languages such as Python, R, Scala, Go, etc.
  • Good experience with source control systems such as git

Good to Have:
  • Experience in microservices with container technologies like Docker/Kubernetes
  • Working experience with deploying and running services in Kubernetes
  • Experience with the AWS services (Examples: SageMaker, Comprehend, Lex, Rekognition, Transcribe, EKS, Lambda, S3, etc)
  • Experience with troubleshooting production systems.
  • Good understanding and use of CICD systems such as Jenkins, Gitlab, etc.

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