Fact Finders Pro is a platform dedicated to combating disinformation in order to promote informed, responsible decision-making. Our product is designed to provide users with the tools and knowledge necessary to navigate a sea of information without being misled or manipulated. We're committed to safeguarding the integrity of information channels and promoting transparency and empowerment for all.

Job Description

• 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.

-Deep understanding of Machine Learning & Deep Learning algorithms

-Extensive experience with Microsoft Azure, including certification in machine learning

-Experience with machine learning pipelines (Azure ML)

-Experience in Big Data, search, NLP, and chatbot technologies such as Elasticsearch and Solar

-Knowledge of Deep Learning and related tools such as TensorFlow, Keras, MXNET, or H2O is preferred

-Experience deploying NLP solutions in a commercial environment.

-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

-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

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.