Data Scientist
Location: Remote - Remote
Category: Data
Employment Type: Contract
Job ID: 15701
Date Added: 08/14/2023
- *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.
- This position is 100% remote.
#LI-SM3 #LI-Remote #Dice #Remote
