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Internship Spotify Data Science Jobs in Texas (NOW HIRING)

Collaborate with the Information Technology team and data scientists to ensure data quality, integrity, and consistency. Job Requirements Experience: Internship and/or academic experience involving ...

Collaborate with the Information Technology team and data scientists to ensure data quality, integrity, and consistency. Job Requirements * Experience: Internship and/or academic experience involving ...

Data Scientist- Associate

Dallas, TX · On-site

$58K - $58K/yr

Minimum one year of experience or strong internship/academic projects in data science, machine learning, or software engineering * Master's degree from an accredited college or university in Computer ...

Associate Data Scientist

Irving, TX · On-site +1

$56K - $57K/yr

... data science and machine learning techniques through professional work, internships, or research. * Experience with Python, SQL, statistical analysis, and databases. * Curiosity and a growth mindset ...

New

Associate Data Scientist

Irving, TX · On-site

$54K - $55K/yr

... data science and machine learning techniques through professional work, internships, or research. * Experience with Python, SQL, statistical analysis, and databases. * Curiosity and a growth mindset ...

New

Data Science & Analysis Travel Required: Up to 10% Clearance Required: Ability to Obtain Public ... Internship, academic, research, or project experience involving data engineering, cloud computing ...

Data Engineer

Houston, TX · On-site

$53K - $88K/yr

Data Science & Analysis Travel Required: Up to 10% Clearance Required: Ability to Obtain Public ... Internship, academic, research, or project experience involving data engineering, cloud computing ...

Data Science & Analysis Travel Required: Up to 10% Clearance Required: Ability to Obtain Public ... Internship, academic, research, or project experience involving data engineering, cloud computing ...

Data Engineer

San Antonio, TX · On-site

$53K - $88K/yr

Data Science & Analysis Travel Required: Up to 10% Clearance Required: Ability to Obtain Public ... Internship, academic, research, or project experience involving data engineering, cloud computing ...

Data Engineer

San Antonio, TX · On-site

$53K - $88K/yr

Data Science & Analysis Travel Required: Up to 10% Clearance Required: Ability to Obtain Public ... Internship, academic, research, or project experience involving data engineering, cloud computing ...

Showing results 21-40

Internship Spotify Data Science information

What is the difference between Internship Spotify Data Science vs Data Analyst Intern at Spotify?

AspectInternship Spotify Data ScienceData Analyst Intern at Spotify
Required CredentialsCurrently pursuing or recent graduate in Data Science, Statistics, or related fieldsSimilar educational background, often with focus on analytics or business intelligence
Work EnvironmentHands-on data modeling, machine learning, and algorithm development within a tech companyData interpretation, reporting, and visualization to support business decisions
Employer & Industry UsageTech industry, music streaming, data-driven product developmentMusic streaming, marketing, and user engagement analysis

Internship Spotify Data Science focuses on developing models and algorithms, while Data Analyst Intern roles emphasize analyzing and visualizing data to inform business strategies. Both roles require similar educational backgrounds and are integral to Spotify's data-driven approach, but they differ in technical depth and project focus.

What are the most commonly searched types of Spotify Data Science jobs in Texas?

The most popular types of Spotify Data Science jobs in Texas are:

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For Internship Spotify Data Science jobs in Texas, the most frequently searched job titles are:

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The top searched job categories for Internship Spotify Data Science jobs in Texas are:

What cities in Texas are hiring for Internship Spotify Data Science jobs?

Cities in Texas with the most Internship Spotify Data Science job openings:

Data Scientist, Smart Maintenance, & Equipment Reliability

Patterson-UTI

Houston, TX • On-site

Full-time

Re-posted 24 days ago


Patterson-UTI rating

5.0

Company rating: 5.0 out of 10

Based on 23 frontline employees who took The Breakroom Quiz

82nd of 87 rated oil and gas companies


Job description


As a Data Scientist for the Smart Maintenance initiative, you will support the creation of digital twins and predictive job models to reduce operational uncertainty and strengthen uptime during dynamic operations. You will help modernize maintenance and failure workflows to uncover subtle trends that traditional evaluations may miss, helping the company pursue a meaningful asset-life advantage. By moving data automatically across systems and removing reliance on manual reconciliation, you will help build a foundation for real-time maintenance management and total cost of ownership visibility. Your work will empower field teams with consolidated, purpose-built data that transforms every intervention into a precise, closed-loop maintenance event.
Key Responsibilities:
  • Support the development of predictive models and automated tracking tools to help maintenance teams shift from reactive to proactive workflows.

  • Assist in the integration of equipment telemetry and various data streams into modeling frameworks to improve lifecycle management.

  • Help build and test internal AI-driven tools and trend models to streamline technical troubleshooting and root cause analysis.

  • Contribute to the development of cost-visibility models to track equipment spend and total cost of ownership at different fleet levels.

  • Assist in the rationalization and optimization of equipment alarm systems to improve alert quality and reduce operational noise.

  • Monitor the impact of system alerts to help transition toward actionable, condition-based maintenance strategies.

  • Support data integrity efforts by helping to link information across disparate internal systems and work order platforms.

  • Collaborate on the design of user-friendly interfaces and digital aids that provide field personnel with accurate equipment history and procedures.

Job Requirements:
  • Prior experience in equipment reliability, predictive maintenance or physics-based modeling in oil and gas

  • Expert programming skills in Python (SciPy, NumPy) for simulation and model development

  • Strong foundation in reliability engineering methods such as root cause analysis (RCA), alarm management KPIs, and failure mode modeling.

  • Strong communication skills with the ability to explain complex models to non-technical stakeholders

  • Ability to manage multiple priorities and deliver results on time

Minimum Qualifications:
  • Bachelor's degree in Mechanical Engineering, Petroleum Engineering, Data Science or related field

  • 0-5 years of experience applying data science modeling or reliability engineering in industrial settings

  • 2+ years building and deploying data-science algorithms on cloud platforms (AWS, GCP or Azure)

  • A basic understanding of maintenance workflows, work orders, and asset hierarchies is required.

Preferred Qualifications:
  • Prior internship or project experience involving industrial IoT sensor data and predictive maintenance is preferred.

  • Master's degree or higher in a quantitative engineering or physical science discipline

  • Research publications or patents in equipment reliability, preventative maintenance or related areas

About Us
The Evolving Oil Field Demands Evolving Service Providers
NexTier is a leading provider of integrated completions that employs sustainable practices and equipment to support our customers' ESG goals while accelerating production in the most demanding US land basins.
Patterson-UTI is committed to a workplace free from discrimination and harassment, offering equal employment opportunities to all individuals regardless of personal characteristics protected by law. Employees are encouraged to report any concerns through multiple channels.

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