Data Scientist, Innovation Lab (Ai)

TL;DR

Data Scientist (AI/ML): Developing analytical solutions and contributing to product prototypes using predictive modeling, machine learning, and deep learning to extract insights from diverse data sources. Focus on innovating with tools designed for data processing and information retrieval, validating performance scores and analyzing return on investment.

Location: Must be based in the United States

Salary: $133,109 - $239,596

Company

hirify.global is a global data and technology company, powering opportunities for people and businesses around the world.

What you will do

• Create advanced machine learning analytical solutions to extract insights from diverse structured and unstructured data sources.
• Refine data manipulation and retrieval through the design of efficient data structures and storage solutions.
• Innovate with tools designed for data processing and information retrieval.
• Dissect and document vast datasets, analyzing them to highlight patterns and insights.
• Solve complex challenges by developing impactful algorithms.
• Articulate model processes and outcomes, documenting and presenting findings and performance metrics.

Requirements

• Master's degree or higher in Machine Learning, Data Science, AI, Computer Science, or a related quantitative field.
• 1 or more years of experience in AI, data science, or predictive modeling.
• Proficiency in at least one programming language, with coding skills in Python.
• Experience with deep learning (CNN, RNN, LSTM, attention models), machine learning methodologies (SVM, GLM, boosting, random forest), graph models, or, reinforcement learning.
• Experience with open-source tools for deep learning and machine learning technology such as pytorch, Keras, tensorflow, scikit-learn, pandas.
• Experience with large data analysis using Spark (pySpark).
• Experience with LLMs and the relevant tools in the Generative AI domain.

Nice to have

• Experience with Hadoop and NoSQL related technologies such as Map Reduce, Hive, HBase, mongoDB, Cassandra.
• Experience modifying and applying advanced algorithms to address practical problems.

Culture & Benefits

• Great compensation package and bonus plan.
• Core benefits including medical, dental, vision, and matching 401K.
• Flexible work environment, ability to work remote, hybrid or in-office.
• Flexible time off including volunteer time off, vacation, sick and 12-paid holidays.