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Data Science Intern

  • Internship
    Full-time
    Summer Internship
  • Data
    Research & Development
  • 13d left

AI generated summary

  • You should be graduating in 2026 with a relevant graduate degree, have strong SQL skills, understand statistics and modeling, and have experience with experimental design and randomized control trials.
  • You will analyze large-scale data, collaborate with teams to identify opportunities, develop models, and communicate insights to stakeholders, focusing on product performance and strategy.

Requirements

  • Graduating in 2026 with a Graduate degree in statistics, applied mathematics, computer science, machine learning, economics or a related field.
  • Deep knowledge of SQL; experience using Python or R also a plus.
  • Deep understanding of statistics, math and modeling techniques.
  • Experience with randomized control trials, and experimental design.

Responsibilities

  • You will work with a team of hard-working data science and machine learning professionals as well as directly with cross-functional teams to identify business opportunities, optimize product performance, and/or develop operational strategy.
  • You will analyze large-scale structured and unstructured data and develop deep-dive analyses and models that drive value for our players and our games.
  • Have a “product first” mentality that aligns with our mission, values and strategy.
  • Translate quantitative findings in concise and clear messages to stakeholders and external partners.

FAQs

What is the duration of the internship?

The internship lasts for 12 weeks.

Where is the internship located?

The internship is based in the San Francisco Bay Area.

What are the educational qualifications required for the internship?

Candidates should be graduating in 2026 with a graduate degree in statistics, applied mathematics, computer science, machine learning, economics, or a related field.

Is prior experience with SQL necessary?

Yes, a deep knowledge of SQL is required for the internship.

Are there any preferred programming skills besides SQL?

Yes, experience with Python or R is a plus.

What kind of projects will interns be working on?

Interns will work on analyzing large-scale structured and unstructured data, developing analyses and models, optimizing product performance, and identifying business opportunities.

Will there be mentorship during the internship?

Yes, interns will be mentored by an experienced team of professionals in data science and machine learning.

What is the pay rate for the internship?

The pay rate for the Data Science Intern position is $60 per hour.

Does Niantic provide relocation assistance?

Yes, Niantic provides relocation assistance for interns.

Are there any fun activities planned during the internship?

Yes, the internship includes learning and social activities, as well as opportunities to network with other interns and Niantic employees.

Does Niantic have a commitment to diversity and inclusion?

Yes, Niantic is committed to hiring diverse voices and fostering an inclusive workplace.

What benefits are offered during the internship?

Benefits include in-office lunches and snacks, the opportunity to "dogfood" our games, and Niantic swag.

Is hands-on experience with data pipelines and models preferred?

Yes, hands-on experience building end-to-end data pipelines, ETL processes, and production models is a plus.

Building technologies and ideas that move us as the leaders in Augmented Reality

Technology
Industry
501-1000
Employees
2011
Founded Year

Mission & Purpose

Niantic Labs is a technology company that specializes in augmented reality (AR) experiences and location-based games. Their ultimate mission is to combine the virtual and real worlds to encourage exploration, social interaction, and physical activity. Niantic is best known for developing popular mobile games like Pokémon GO, Ingress, and Harry Potter: Wizards Unite, where players use their smartphones to interact with digital elements superimposed on the real world. The company's purpose is to create engaging and innovative AR experiences that promote outdoor activity, community engagement, and shared adventures, fostering a sense of exploration and connection among players.

Culture & Values

  • Start with a worthy goal

    We seek to build products that inspire people to see the world differently and to move, explore, and enjoy it together, using technology to enrich the lives of our users through exploration, exercise, and social interaction.

  • Invite everyone on board

    We want to create the best products. Doing that requires the best ideas from a diverse team — and those ideas will only emerge if we provide a safe and supportive environment where those different points of view can be shared.

  • Lead from the front

    We know that the best way for our leaders to inspire our teams is to be willing to roll up our sleeves and do whatever it takes to help the team and the company succeed.

  • Set waypoints, and then stay on course

    We welcome healthy debate that is supported by data and logic. Once we make a decision (often by consensus, or by a group leader when needed) we commit to it 100% so that we can move forward with speed and confidence to the next waypoint.

  • Speak the truth, to serve the mission

    We speak the truth to serve a constructive purpose, useful to the company and our goals. We don’t support speech which is cynical, untrue, or designed to harm others.

  • See it through

    We know accountability comes from finishing the job, not simply responding to email. When someone at Niantic says “I’ve got this,” you know they will see it all the way through.

  • Weather storms

    We won’t always succeed, and that’s OK. When we fail, we look for how to improve, not who to blame.

  • Summit mountains

    We recognize we’re taking on massive challenges that will bring us into competition with some of the largest and most powerful companies in the world. We are motivated by knowing that focus, agility, and perseverance are our advantages, even against the most formidable competition.

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