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Urgently Hiring Data Science Internships Jobs (NOW HIRING)

AppLovin

Data Scientist - Analytics

Palo Alto, CA

... data science (internships or projects count). Proficiency with SQL and at least one analytical programming language (Python preferred). * Ability to work with large datasets and translate findings ...

New

DEUNA

Data Science intern

San Francisco, CA · On-site

During the internship, you will support the Data team by analyzing data, building models ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

DEUNA

Data Science intern

San Francisco, CA

During the internship, you will support the Data team by analyzing data, building models ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

AppLovin

Data Scientist - Analytics

Palo Alto, CA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... science (internships or projects count). Proficiency with SQL and at least one analytical ... All hiring decisions are ultimately made by human reviewers. Please read our Global Applicant ...

Athena LLC

Interns leave with a strong understanding of industry-standard data science practices and potential references for your career.

Darkhorse Geospatial LLC

Data Scientist

Falls Church, VA · On-site

$120 - $180/hr

Darkhorse Geospatial is hiring Data Scientists to turn complex, high-volume data into mission-ready intelligence for our federal customer. You'll build analytics, AI/ML models, and data pipelines ...

Cypress HCM

Data Science Engineer

Austin, TX · Hybrid

$65 - $69.72/hr

Data Science Engineer Job Details * Data Science Engineer (Contract) * Location: Austin TX, 78758 ... This role is not suitable for entry-level candidates or interns. Compensation: * $65.00 to $69.72 ...

Evolver

Applied Data Science Intern

Palo Alto, CA · On-site

Applied Data Science Summer Internship About Us: Evolver is a rapidly growing enterprise AI company building advanced solutions for Fortune 500 organizations across finance, tax, risk, and audit. In ...

NCSU

Lecturer of Data Science

Raleigh, NC

$4.0K/wk

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Data Science Anticipated Hiring Range $4K per credit (additional compensation for course ... Data Internships Preparation for Social Impact * Exploring Machine Learning Appointments will be ...

State Farm

Lead Data Scientist - Gen AI

Bloomington, IL

  • Medical

  • Dental

  • Vision

  • Retirement

Lead/mentor other data scientists, interns, and other technical work teams * Make strategic ... our hiring team. This interview focus on roleplaying interactions with a data science business ...

NCSU

Lecturer of Data Science

Raleigh, NC

$4.0K/wk

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Data Science Anticipated Hiring Range $4K per credit (additional compensation for course ... Data Internships Preparation for Social Impact * Exploring Machine Learning Appointments will be ...

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Urgently Hiring Data Science Internships information

What is the difference between Urgently Hiring Data Science Internships vs Data Analyst Internships?

AspectUrgently Hiring Data Science InternshipsData Analyst Internships
Required CredentialsRelevant coursework, basic programming skills, possibly some experience in data science toolsStatistics, data analysis, proficiency in Excel, SQL, and visualization tools
Work EnvironmentTech companies, startups, research labs; focus on data modeling and machine learningBusiness environments, finance, marketing; focus on data reporting and insights
Employer & Industry UsageUsed across tech, finance, healthcare industries for data-driven projectsCommon in corporate, marketing, and finance sectors for operational analysis

Urgently Hiring Data Science Internships focus on developing advanced data models and machine learning skills, often requiring programming knowledge. Data Analyst Internships emphasize data reporting, visualization, and basic statistical analysis. Both roles are valuable entry points but serve different industry needs and skill sets.

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Data Scientist - Analytics

AppLovin

Palo Alto, CA

Full-time

Posted 3 days ago

New

Job description

We are seeking a Data Scientist - Analytics to join our team and help bridge the gap between engineering and business functions at AppLovin. In this role, you will work with petabyte-scale datasets across our ad and app ecosystem, analyzing high-velocity data streams generated by tens of millions of daily active users. You will support the development of analytics tools, monitoring systems, and reporting pipelines that improve visibility into product health, business performance, and model outcomes. You'll partner closely with research scientists, engineers, and business stakeholders to uncover insights, diagnose issues, and identify opportunities for growth.


This role is ideal for someone early in their data science career who enjoys solving ambiguous problems, has foundational statistical and modeling knowledge, and is excited to build impactful tools used across the organization.

Key ResponsibilitiesAnalytics, Monitoring & Tooling
  • Build and maintain dashboards, monitoring systems, and automated reporting to track product, business, and model performance.
  • Develop scalable analytics pipelines to surface key metrics, detect anomalies, and support timely issue diagnosis..
  • Define and refine KPIs, using structured, hypothesis-driven analysis to understand performance changes and long-term trends.
Insights Discovery & Model Evaluation
  • Analyze large datasets to identify trends, diagnose performance changes, and uncover growth opportunities.
  • Conduct exploratory analysis, root-cause investigations, and hypothesis-driven deep dives.
  • Support engineering and research science teams in evaluating model performance, including stability, calibration, and long-term health.
Experimentation & Measurement
  • Assist in designing A/B tests, computing key metrics, and interpreting results.
  • Apply basic statistical reasoning (e.g., variance, confidence intervals, significance testing) to support decision-making.
Cross-Functional Collaboration
  • Partner with engineering to integrate new data sources, refine data structures, and enable scalable analytics.
  • Work with product and business teams to understand analytical needs and translate them into actionable solutions.
Minimum Qualifications
  • Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, Engineering, or another quantitative discipline.
  • Basic understanding of core statistical concepts and introductory modeling techniques, with the ability to apply them in practical analysis
  • 0-3 years of experience in data analytics or data science (internships or projects count).
    Proficiency with SQL and at least one analytical programming language (Python preferred).
  • Ability to work with large datasets and translate findings into actionable recommendations.
  • Ability to translate business questions into analytical frameworks and communicate insights effectively to both technical and non-technical audiences.
  • Curious, proactive mindset with a desire to learn quickly and contribute meaningfully.
Preferred Qualifications
  • Master's degree in Data Science or a related quantitative discipline.
  • Experience with BI tools such as Looker, Tableau, Superset, Metabase, or similar.
  • Familiarity with cloud data warehouses (e.g., BigQuery, Snowflake) and workflow orchestration tools such as Airflow.
  • Exposure to A/B testing, experiment design, or statistical evaluation.
  • Understanding of digital advertising, performance marketing metrics, or online marketplace dynamics.
  • Experience collaborating with cross-functional teams (engineering, product, business).
What You'll Gain
  • Hands-on experience with real production analytics, monitoring systems, and model evaluation.
  • Opportunities to build foundational infrastructure that scales across teams.
  • Exposure to high-scale data challenges and real-world ML performance considerations.
  • A meaningful role in driving insights that inform product and business strategy.

Apply