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Data Science Co Op Remote Jobs in Texas (NOW HIRING)

... remote global workforce. We are seeking a dynamic and experienced DS/AI Tech Partner (a Data Science Growth Leader) to join our team. This role will co-own business development and growth initiatives ...

... remote global workforce. We are seeking a dynamic and experienced DS/AI Tech Partner (a Data Science Growth Leader) to join our team. This role will co-own business development and growth initiatives ...

Data Analyst

Houston, TX · On-site +1

$21 - $26/hr

Bachelors degree in Data Science, Statistics, Mathematics, Engineering, or a related field ... Flexible work schedule and remote work options Job Type: * Full time Pay: * $21.00 - $26.00 per ...

Data Analyst

Dallas, TX · Remote

$23.50 - $30.50/hr

This is a remote role strictly for candidates within the United States. Position Overview: As a ... Education: * Bachelors degree in Data Science, Engineering, Statistics, Computer Science, or a ...

Data Engineer

Austin, TX · On-site +1

$113K - $136K/yr

Data Engineer Remote At IPT Associates (IPTA), we enjoy solving real-world problems with technology ... Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, or related ...

Data Engineer

Irving, TX · On-site +1

$141K - $144K/yr

... with Data Science team to transform data and integrate algorithms and models into automated ... Hybrid position: remote work permitted but must live within commuting distance of designated office ...

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Showing results 41-60

Data Science Co Op Remote information

What is the difference between Data Science Co Op Remote vs Data Analyst Intern Remote?

AspectData Science Co Op RemoteData Analyst Intern Remote
Required CredentialsEnrolled in or recent graduate of a data-related program, some programming skillsEnrolled in or recent graduate of a data, statistics, or related program, basic analytical skills
Work EnvironmentRemote, collaborative team projects, mentorship opportunitiesRemote, focused on data analysis tasks, supervised by analysts or managers
Employer & Industry UsageTech, finance, healthcare companies offering structured co-op programsVarious industries, often as part of internship programs for entry-level experience

The main difference is that Data Science Co Op Remote roles focus on developing data science skills, including programming and modeling, while Data Analyst Intern Remote positions emphasize data analysis and reporting. Both are remote, entry-level roles that provide valuable industry experience, but they target different skill sets within the data field.

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

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

What are popular job titles related to Data Science Co Op Remote jobs in Texas?

For Data Science Co Op Remote jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Data Science Co Op Remote jobs in Texas look for?

The top searched job categories for Data Science Co Op Remote jobs in Texas are:

What cities in Texas are hiring for Data Science Co Op Remote jobs?

Cities in Texas with the most Data Science Co Op Remote job openings:

Infographic showing various Data Science Co Op Remote job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

DS/AI Tech Leader

Tiger Analytics Inc.

Dallas, TX • On-site, Remote

Full-time

Re-posted 25 days ago


Job description

Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple geographies across the US, UK, India, Australia, Canada, Mexico, and Singapore, and a substantial remote global workforce.
We are seeking a dynamic and experienced DS/AI Tech Partner (a Data Science Growth Leader) to join our team. This role will co-own business development and growth initiatives from a technical perspective, designing strategy & supporting the execution of GTM efforts for our end-to-end enterprise-grade data science technology capabilities & solutions in AI, ML & AI Engineering across industries & domains. The ideal candidate will have a strong focus on delivering business outcomes for our customers using Data Science and possess a deep & fundamental understanding of DS methodologies and AI technology from experience in successfully delivering such business outcomes in their own careers.
Key Responsibilities:
Business Development & Growth:
  • Identify and pursue new business opportunities in the AI & ML space.
  • Develop and execute strategies to expand our client base and market presence.
  • Build and maintain strong relationships with key stakeholders and clients.
  • Collaborate with sales and marketing teams to create compelling value propositions and proposals.

Technical Leadership:
  • Lead the design, development, and deployment of enterprise-level data science solutions.
  • Ensure solutions are scalable, robust, and aligned with business objectives.
  • Stay abreast of the latest advancements in AI & ML technologies and integrate them into our offerings.
  • Mentor and guide a team of data scientists and engineers to achieve project goals.

Strategic Planning:
  • Develop and implement a strategic roadmap for data science initiatives.
  • Align data science projects with overall business strategy and client needs.
  • Drive innovation and continuous improvement in data science methodologies and practices.

Client Engagement:
  • Work closely with clients to understand their business challenges and requirements.
  • Translate client needs into actionable data science solutions.
  • Present findings, insights, and recommendations to clients in a clear and compelling manner.

Requirements
• Advanced degree (Ph.D. or Master's) in Data Science, Computer Science, Statistics, or a related field.
• 18 to 20 years of extensive experience in the Data Science and AI space.
• Proven experience in a leadership role within the AI & ML services industry.
• Strong track record of driving business development and growth initiatives.
• Extensive experience in developing and deploying enterprise-level data science solutions.
• Excellent communication and interpersonal skills.
• Ability to work collaboratively in a fast-paced, dynamic environment.
Preferred Skills:
• Experience with cloud platforms (AWS, Azure, Google Cloud).
• Proficiency in programming languages such as Python, R, and SQL.
• Familiarity with big data technologies (Hadoop, Spark).
• Strong analytical and problem-solving skills.
Benefits
This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.