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Internship Night Shift Data Science Jobs in Kansas

B.Tech/BS in Computer Science, Statistics, Math, Physics or other quantitative disciplines * 2+ ... Comfort working quickly in a live-service environment where priorities shift, data is imperfect ...

Industrial Controls Technician - Night Shift

Newton, KS · On-site

$25 - $33.25/hr

Night Shift Premium. What we do at Weir We are a global leader in mining technology for a ... We do this by combining our deep customer insights, world-class engineering, materials science ...

The exact shift and hours will be determined at hire. The internship will be on a yearly basis for ... Data Science, or Engineering. Must have Junior or Senior standing at the time of the internship. 6 ...

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Internship Night Shift Data Science information

What is the difference between Internship Night Shift Data Science vs Data Analyst?

AspectInternship Night Shift Data ScienceData Analyst
Required CredentialsTypically pursuing or recent graduate in Data Science, Computer Science, or related fieldsOften holds a degree in Statistics, Mathematics, or related fields
Work EnvironmentNight shift, often in tech or finance companies, focusing on data modeling and analysisDay shift, in various industries, focusing on data reporting and visualization
Employer & Industry UsageUsed in tech, finance, and e-commerce sectors for data-driven projectsCommon across multiple industries including marketing, healthcare, and finance

Internship Night Shift Data Science roles focus on developing models and analyzing large datasets during night hours, often requiring programming skills. Data Analysts typically handle data reporting and visualization during regular hours. Both roles require strong analytical skills but differ in scope, environment, and timing.

What cities in Kansas are hiring for Internship Night Shift Data Science jobs? Cities in Kansas with the most Internship Night Shift Data Science job openings:

Data Analyst - Marvel Strike Force

Scopely

On-site, Remote

Other

Posted 21 days ago


Job description

Scopely is looking for a Data Analyst to join our Marvel Strike Force remotely in the United States or Canada on a remote basis

At Scopely, we care deeply about what we do and want to inspire play, every day - whether in our work environments alongside our talented colleagues, or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily. 

Marvel Strike Force is Scopely's squad-based Hero Collector RPG, housing heroes and villains across the Marvel Universe.

What You Will Do
  • Use AI-enabled tools thoughtfully to accelerate analytical workflows, including data exploration, SQL/Python development, documentation, QA, summarization, and insight generation, while maintaining strong judgment around data quality, accuracy, privacy, and business context
  • Partner with product, design, economy, live operations, marketing, and leadership teams to turn data into clear insights that improve player engagement, retention, monetization, and long-term game health
  • Own recurring business-health reporting for Marvel Strike Force, including KPI reads, trend context, variance explanations, and executive-ready narratives for what changed, why it changed, and what to do next
  • Analyze player behavior across onboarding, progression, events, offers, combat modes, and other core game systems to identify risks, opportunities, and player-impacting friction
  • Design and validate analytics tracking for new features, live events, player offers, and experiments so teams can measure performance accurately from launch onwar
What We're Looking For
  • B.Tech/BS in Computer Science, Statistics, Math, Physics or other quantitative disciplines
  • 2+ years of experience in data analytics, product analytics, business analytics, financial analysis, data science, or a similar quantitative role
  • 2+ years' experience using SQL/Python, including complex queries from multiple data sources
  • 2+ years' experience creating reports using Tableau/Looker or a similar reporting system
  • Curiosity and hands-on interest in using AI tools to improve analytics workflows, with the judgment to validate outputs, protect sensitive data, and distinguish useful acceleration from unsupported conclusions
  • Familiarity with experimentation, including A/B test design, metric selection, statistical significance, guardrail metrics, and post-test interpretation
  • Excellent communication and storytelling skills, with the ability to turn detailed analysis into concise, actionable recommendations for both technical and non-technical partners
  • Comfort working quickly in a live-service environment where priorities shift, data is imperfect, and decisions often need both speed and rigor

Bonus Points

  • Demonstrates openness to using AI-enabled tools to improve analytical workflows, accelerate insight generation, and support high-quality data-driven decision-making
  • Passion for games and curiosity about what motivates players, especially in RPG, hero collector, strategy, or squad-based combat games
  • Advanced degrees a plus
  • 2+ years within the mobile gaming domain
  • Experience analyzing player lifecycle metrics such as onboarding, funnels, retention, engagement, progression, monetization, economy health, offers, events, or churn
  • Experience with modern analytics workflows such as dbt, Snowflake, BigQuery, Git, notebook-based analysis, or reusable data models

Please ensure that the resume/CV you attach is written in English.