Data Scientist

Location: Remote - Remote
Category: Data
Employment Type: Contract
Job ID: 15701
Date Added: 08/14/2023

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REMOTE Data Scientist Requirements/Responsibilities:
  • *MUST be a USC or Green Card Holder. NO C2C*
  • Exploring new analytical technologies and evaluate their technical and commercial viability.
  • Working across entire pipeline: data ingestion, feature engineering, ML model development, visualization of results, and packaging solutions into applications/production ready tools.
  • Working across various data mediums: text, audio, imagery, sensory, and structured data.
  • Working in (6) 2-week sprint cycles to develop proof-of-concepts and prototype models that can be demoed and explained to data scientists, internal stakeholders, and clients.
  • Testing and rejecting hypotheses around data processing and ML model building.
  • Experimenting, fail quickly, and recognize when you need assistance vs. concluding a technology is not suitable for the task.
  • Building ML pipelines that ingest, clean data, and make predictions.
  • Focusing on AI and ML techniques that are broadly applicable across all industries.
  • Staying abreast of new AI research from leading labs by reading papers and experimenting with code.
  • Developing innovative solutions and perspectives on AI that can be published in academic journals/arXiv and shared with clients.
  • Applying ML techniques to address a variety of problems (e.g. consumer segmentation, revenue forecasting, image classification, etc.).
  • Understanding ML algorithms (e.g. k-nearest neighbors, random forests, ensemble methods, deep neural networks, etc.) and when it is appropriate to use each technique.
  • Understanding open-source deep learning frameworks (PyTorch, Keras, Tensorflow).
  • Understanding text pre-processing and normalization techniques, such as tokenization, POS tagging and knowledge of Named Entity Extraction, Document Classification, Topic Modeling, Text summarization and concepts behind application.
  • Building ML models and systems, interpreting their output, and communicating the results.
  • Moving models from development to production; conducting lab research and publishing work.
  • Demonstrates thorough abilities and/or a proven record of success in the Essential 8: AI, Blockchain, Augmented Reality, Drones, IoT, Robotics, Virtual Reality and 3D printing in addition to:
    • Demonstrating knowledge in Programming languages: Python, R, Java, JavaScript, C++, Unix.
    • Demonstrating knowledge in Data Storage Technologies: SQL, NoSQL, Postgres, Neo4j, Hadoop, cloud-based databases such as GCP BigQuery, and different storage formats (e.g. Parquet, etc.).
    • Demonstrating knowledge in Data Processing Tools: Python (Numpy, Pandas, etc.), Spark, cloud-based solutions such as GCP DataFlow.
    • Demonstrating knowledge in Machine Learning Libraries: Python (scikit-learn, genism, etc.), TensorFlow, Keras, PyTorch, Spark MLlib, NLTK, spaCy.
    • Demonstrating knowledge in NLU/NLP domain: Sentiment Analysis, Chatbots & Virtual Assistants, Text Classification, Text Extraction, Machine Translation, Text Summarization, Intent Classification, Speech Recognition, STT, TTS.
    • Demonstrating knowledge in Visualization tools: Python (Matplotlib, Seaborn, bokeh, etc.), JavaScript (d3), third party libraries (Power BI, Tableau, Data Studio).
    • Demonstrating knowledge in productionization and containerization technologies: GitHub, Flask, Docker, Kubernetes, Azure DevOps, GCP, Azure, AWS.
  • Minimum Degree Required: Bachelor Degree.
  • Additional Educational Requirements: Bachelor's degree or in lieu of a degree, demonstrating, in addition to the minimum years of experience required for the role, three years of specialized training and/or progressively responsible work experience in technology for each missing year of college.
  • Degree Preferred: Master Degree.
  • Preferred Fields of Study: Computer and Information Science, Mathematics, Computer Engineering, Artificial Intelligence and Robotics, Mathematical Statistics, Statistics, Economics, Operations Management/Research.
  • Additional Educational Preferences: PhD highly preferred.

REMOTE Data Scientist Benefits:
  • Collaborative team environment.
  • Opportunity for growth in a Big 4 Consulting Firm.
  • Long term opportunity.
  • Working on a Global Project.
REMOTE Data Scientist Additional Information: 
  • This position is 100% remote.
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