Intern: Data Analytics / Data Science (Fall 2024) (2024)

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At Rockstar Games, we create world-class entertainment experiences.

A career at Rockstar Games is about being part of a team working on some of the most creatively rewarding and ambitious projects to be found in any entertainment medium. You would be welcomed to a dedicated and inclusive environment where you can learn, and collaborate with some of the most talented people in the industry.

Rockstar NYC is on the lookout for an intern who has a passion for data analysis and the insights that data provide to help build an immersive game experience.

This is a paid, in-office, fixed term contract position running for 15 weeks from late August 2024 to early December 2024. This is a full-time position, with the expectation of a 40-hour work week. The successful candidate will work in Rockstar’s unique game development studio in the heart of downtown Manhattan.

WHAT WE DO

  • The Rockstar Analytics team provides insights and actionable results to a wide variety of stakeholders across the organization in support of their decision making.
  • We innovate as a global team to develop cutting-edge data products, reports, analyses, and machine learning applications.

RESPONSIBILITIES

  • Provide strategic insight and predictive modeling on player behavior.
  • Deliver reports and analysis projects using player, game, and platform data.
  • Achieve well scoped goals based on guidance and support from Leads and team members.
  • Work autonomously and proactively communicate progress and concerns while in the work from home environment.
  • Experiment with and explore new opportunities for machine learning applications while contributing to existing models & pipelines.
  • Collaborate with fellow interns on Research and Development projects.

QUALIFICATIONS

  • This internship is intended for undergraduate students, graduate students, or recent graduates who have completed coursework in data science, data analytics, or a related field.
  • Applicant must be eligible to work in the US.

SKILLS

  • Exposure to statistical methods, including distributions, predictive modeling, data validation, and hypothesis testing.
  • Ability to understand a business problem and translate it into a technical problem.
  • Ability to communicate results and present findings to a variety of stakeholders.
  • Excellent problem-solving ability.
  • Exposure to Python or another programming language.
  • Curiosity in how to use machine learning and advanced analytical methods to solve problems.
  • Great team communication skills.
  • Excellent writing skills.

PLUSES

Please note that these are desirable skills and are not required to apply for the position.

  • Experience querying data from a database using SQL (or an equivalent).
  • Familiarity with cloud computing and big data technologies.
  • Familiarity with Rockstar Products.

HOW TO APPLY

Please apply with a resume and cover letter demonstrating how you meet the skills above. If we would like to move forward with your application, a Rockstar recruiter will reach out to you to explain next steps and guide you through the process.

Rockstar is committed to creating a work environment that promotes equal opportunity, dignity and respect. In line with this commitment, Rockstar will provide reasonable accommodations to qualified job applicants with disabilities during the recruitment process in order for such applicants to be considered for the position for which they are applying, as well as to qualified employees to enable them to perform the essential functions of their roles. If you need more information about Rockstar’s reasonable accommodation policies or process, or need to request an accommodation, please contact the Human Resources Department.

If you’ve got the right skills for the job, we want to hear from you. We encourage applications from all suitable candidates regardless of age, disability, gender identity, sexual orientation, religion, belief, race, or any other protected category.

The pay range for this position in New York State (inclusive of New York City) at the start of employment is expected to be between the range below* per hour. 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, in addition to a full range of medical, financial, and/or other benefits. Details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employee will be in an “at-will position” and the company reserves the right to modify base salary (as well as any other discretionary payment or compensation or benefit program) at any time, including for reasons related to individual performance, company or individual department/team performance, and market factors.

Intern: Data Analytics / Data Science (Fall 2024) (2024)

FAQs

Is data science still in demand in 2024? ›

Data science continues to be a vital field in 2024, driving innovation across industries. Even with the tech layoffs of 2023, data science jobs were largely spared, highlighting their importance to business growth.

Is a data analyst a good career in 2024? ›

Yes, data analyst is considered a good career choice for the future. Here are some reasons why: Increasing Demand: The demand for skilled data analysts is growing across industries as organizations recognize the importance of data-driven decision-making.

Is it easy to get internship in data science? ›

Learning data science from scratch and securing an internship within one year is feasible with dedication and focus. Concentrate on building a strong foundation in Python, statistics, and machine learning, and actively work on projects to build a portfolio. Networking and applying for internships early can also help.

How to crack a data science internship? ›

Data science internship requirements
  1. A grasp of programming languages, such as Python, Java, or C++
  2. An understanding of scripting languages, such as SQL, Python, and R.
  3. An ability to work with others in a fast-paced environment.
  4. Research experience.
May 8, 2024

Is data science dead in 10 years? ›

In the grand tapestry of technological progress, data science stands as a resilient thread answering your question: is data science dead in 10 years? As long as data continues to be generated and challenges require insightful solutions, data science will flourish.

Will AI replace data scientists? ›

Therefore, the crux of the matter is AI can aid data science to improve its efficiency but it is not equipped yet to replace data science and data scientist jobs completely. Therefore, can data science be replaced AI? is yet not a relevant question or theory to be answered in the present situation.

Is 35 too old to become a data scientist? ›

A professional aged 35 years can make a career in data science as long as they have good writing, leadership, and communication skills. Some of the technical skills that are mandatory for data scientists are mathematics and programming knowledge.

How saturated is data analytics? ›

In conclusion, while some may argue that the market for data analysts is oversaturated, the evidence suggests otherwise. With the demand for data analysts continuing to grow and companies reaping the financial rewards of data analytics, it's clear that the future is bright for data analysts everywhere.

Is data science still in demand in 2025? ›

The data science market will reach USD 178 billion by 2025, while AI will rise 13.7% to USD 202.57 billion by 2026. Today, Data analytics and AI benefit companies across industries.

How much do Netflix data science interns make? ›

Netflix Data Scientist Intern Salaries | $80.00 / hr | Levels.

How much do data science interns make at Google? ›

Average Google Data Science Intern salary in India is ₹6.9 Lakhs per year for employees with less than 1 year of experience to 2 years. Data Science Intern salary at Google ranges between ₹5 Lakhs to ₹8.6 Lakhs per year. Salary estimates are based on 6 latest salaries received from various employees of Google.

What is the highest salary for a data science intern? ›

Data Science Intern Salary
Annual SalaryMonthly Pay
Top Earners$66,500$5,541
75th Percentile$51,000$4,250
Average$46,809$3,900
25th Percentile$36,000$3,000

What should a data analyst intern know? ›

Data analyst internship skills and qualifications
  • Statistical analytics and probability. ...
  • Data cleaning and preprocessing skills. ...
  • Communication and teamwork skills. ...
  • Technical and terminological skills. ...
  • Gain knowledge. ...
  • Build an online portfolio. ...
  • Do your research. ...
  • Compile all available positions.
Jun 27, 2024

How to get your first data science internship? ›

Buckle up; your internship-hunt is going to get simplified into 7 simple steps!
  1. Acquire skills. Start going after the skills right now! ...
  2. Create (at least) one demonstrable project. Do you what you need to. ( ...
  3. Stop applying online. ...
  4. Get referred. ...
  5. Prepare and practice for interviews. ...
  6. Ask for feedback. ...
  7. Don't give up. ...
  8. Before you go.

Will data science be in demand in next 5 years? ›

Data science and related jobs have a great future, at least for the next ten years. According to the US Bureau of Labour Statistics, data scientist jobs will experience a 36% growth between 2021 and 2031. Operations research analyst jobs are also expected to have a 23% during that time span.

Will data science be in demand in 2026? ›

According to the US Bureau of Labour statistics, the rise of Data Science will create roughly 11.5 million job openings by 2026, and by 2022, Data Scientists and Analysts will become the number one emerging role in the world, according to the World Economic Forum.

Will data science be in demand in 2040? ›

Safe: data scientist

By 2040, AI will likely be churning out vast amounts of code and creating algorithms based on datasets that it also conceived. But don't be fooled: there'll still be a strong demand for human training data experts who'll oversee the work done by AI to check for mistakes.

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