Data Scientist (AI)

TL;DR

Data Scientist (AI): Applying data science, machine learning, and AI to decrease costs and improve decision-making in interactive entertainment. With an accent on statistical analysis, data visualization, and model development to monitor key performance indicators. Focus on building optimization models predictive of profit throughout the product life cycle.

Location: New York City

Salary: $85,700 to $126,860 per Year

Company

hirify.global, Inc. is a leading developer, publisher, and marketer of interactive entertainment.

What you will do

• Apply data science, machine learning, and AI to decrease costs and improve decision-making.
• Collaborate with business partners to understand needs, formulate objectives, and implement actionable solutions.
• Perform statistical analysis and data visualization to explore data and identify patterns.
• Develop models to monitor key performance indicators across different segments.
• Build optimization models predictive of profit throughout the product life cycle.

Requirements

• 2+ years of experience in DevOps/MLOps and machine learning pipelines.
• 3+ years of Python coding experience.
• Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related field, or equivalent experience.
• Strong experience with AWS or GCP cloud environments.
• Passion for automation and working with large-scale data (e.g., Apache Spark, Snowflake, Databricks).

Nice to have

• Familiarity with Pytorch, Tensorflow, Sklearn, XGBoost.
• Knowledge of time series analytics, text-processing, NLP, and analytical techniques applied to language.
• Experience with Large Language Models and programmatic uses.
• Skills in Pythonic dashboarding or web-application frameworks (e.g., Streamlit, Dash, Flask, Django).

Culture & Benefits

• Ranked as one of the most creative and innovative places to work.
• Encouraged to be inquisitive, collaborative and to grow within and around the company.
• Medical (HSA & FSA), dental, vision, 401(k) with company match, employee stock purchase plan, commuter benefits, in-house wellness program.
• Broad learning & development opportunities, a charitable giving platform with company match and more!
• Fitness allowance, employee discount programs, free games & events and stocked pantries.