Sr. Data Scientist -Fulltime-Equity only compensation
Website Fact Finders Pro
Combating Disinformation
Key Responsibilities:
- Collecting data through means such as analyzing business results or by setting up and managing new studies.
- Transferring data into a new format to make it more appropriate for analysis.
- Creating new, experimental frameworks to collect data.
- Building tools to automate data collection.
- Searching through large data sets for usable information.
- Creating reports and presentations for business uses.
- Correlating similar data to find actionable results. Perform statistical analysis of results and refine models.
Qualifications:
- A Master’s or advanced degree in Data Science, Computer Science, Statistics, or a related field.
- A minimum of 5 years of experience in data exploration, data cleaning, data analysis, data visualization, and data mining.
- Mandatory to have 6months -1 yr of LLM experience in projects.
- Experience with Python for at least 5 years developing basic level prediction model
- Deep understanding of Machine Learning & Deep Learning algorithms
- Knowledge of most of the following quantitative fields: Natural Language Processing, Information Retrieval, Machine Comprehension, Question Answering/Conversational AI, Reinforcement Learning, Knowledge Graph, Causal Inference, and Design of Experiment
- Statistical and data science programming skills, such as Python and R
- SQL expertise for data extraction, transformation, and analysis
- Experience in Big Data, search, NLP, and chatbot technologies such as Elasticsearch and Solr
- Knowledge of Deep Learning and related tools such as TensorFlow, Keras, MXNET, or H2O is preferred
- Experience deploying NLP solutions in a commercial environment.
- Extensive experience with Microsoft Azure, including certification in machine learning
- Experience with machine learning pipelines (Azure ML)
- Experience in an Agile working environment and related project management tools (Jira, Azure DevOps, etc.)
- Public AI-related projects you have developed available on GitHub
- What You’ll Do:
- Work closely with software and business teams to build, integrate and deliver successful algorithms in a modern SaaS platform.
- Contribute to advancing NLP and its applications, to create highly innovative products and customer experiences, ranging from text understanding and classification to information extraction.
- Build end-to-end products from the ground up, from data exploration through feature generation and model construction and deployment.
- Own design, implementation, and deployment of your models and see them deliver business impact.
- Mentor other team members and continuously further the Data Science organization.
- Guide design, architecture, tooling, and processes at the organization level.