Data Scientist

Headquartered in New York City, Take-Two Interactive Software, Inc. is a leading developer, publisher, and marketer of interactive entertainment for consumers around the globe. We develop and publish products principally through Rockstar Games, 2K, and Zynga. Our products are designed for console gaming systems, PC, and mobile, including smartphones and tablets. We deliver our products through physical retail, digital download, online platforms, and cloud streaming services. The Company’s common stock is publicly traded on NASDAQ under the symbol TTWO. For more corporate and product information please visit our website at http://www.take2games.com.

While our offices (physical and virtual) are casual and inviting, we are deeply committed to our core tenets of creativity, innovation and efficiency, and individual and team development opportunities. Our industry and business are continually evolving and fast-paced, providing numerous opportunities to learn and hone your skills. We work hard, but we also like to have fun, and believe that we provide a great place to come to work each day to pursue your passions.

The Challenge:

Join our dedicated team as a Data Scientist where you will play a pivotal role in driving data-driven decisions that craft the future of interactive entertainment. This is an outstanding opportunity to work with world-class data sets and powerful machine learning techniques to make impactful changes. Collaborate with hard-working colleagues and contribute to our proven success in delivering flawless gaming experiences.

What You’ll Take On:

• 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.

What You Bring:

• 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).

Great 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).

What We Offer You:

• Great Company Culture. Ranked as one of the most creative and innovative places to work, creativity, innovation, efficiency, diversity and philanthropy are among the core tenets of our organization and are integral drivers of our continued success.
• Growth: As a global entertainment company, we pride ourselves on creating environments where employees are encouraged to be themselves, inquisitive, collaborative and to grow within and around the company.
• Work Hard, Play Hard. Our employees bond, blow-off steam, and flex some creative muscles – through corporate boot camp classes, company parties, game release events, monthly socials, and team challenges.
• Benefits. 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!
• Perks. Fitness allowance, employee discount programs, free games & events and stocked pantries.

The pay range for this position in New York City at the start of employment is expected to be between $85,700 and $126,860 per Year. However, base pay offered is based on market location, and may vary further depending on individualized factors for job candidates, such as job-related knowledge, skills, experience, and other objective business considerations. Subject to those same considerations, the total compensation package for this position may also include other elements, including a bonus and/or equity awards and eligibility to participate in our 401(K) plan and Employee Stock Purchase Program. Regular, full-time employees are also eligible for a range of benefits at the Company, including: medical, dental, vision, and basic life insurance coverage; 14 paid holida