Data Scientist Junior To Mid Level

Company Intelligence

• Company history, size, and industry position: Indeed was founded in 2004 and is headquartered in Austin, TX. It is the world’s largest job site, with over 615 million job seeker profiles and more than 10,000 employees globally. Indeed operates in the Internet & Web Services industry and is recognized as a leader in online recruitment and job search.
• Recent news, growth, and strategic directions: Indeed has been recognized as one of the World’s Most Innovative Companies (2025), America’s Greatest Workplaces for Diversity (2025), and World’s Best Employers (2024). However, recent employee reviews mention ongoing company reorganizations and layoffs, reflecting a period of adjustment and strategic realignment.
• Company culture and work environment: Employee feedback highlights an above-average work-life balance, manageable stress levels, and overall job satisfaction. The company is known for a collaborative environment, but some employees note uncertainty due to frequent reorganizations.
• Values, mission, and what they stand for: Indeed’s mission is to “put job seekers first,” providing free access to job searches, resume posting, and company research. The company values diversity, inclusion, and accessibility, as reflected in its recent workplace awards.
• Office locations and hybrid/remote policies: Major U.S. offices are in Austin, TX; Stamford, CT; New York, NY; Scottsdale, AZ; and San Mateo, CA. The company offers remote and hybrid roles, with the Data Scientist position specifically listed as remote.

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Program Deep Dive: Data Scientist, Junior to Mid-Level

• Detailed program structure and timeline: While Indeed does not label this as a formal “graduate program,” junior to mid-level Data Scientist roles typically offer structured onboarding, project-based learning, and ongoing training. The hiring process reportedly takes about a month.
• Specific skills and competencies they're looking for: Key skills include:
• Proficiency in Python or R for data analysis
• Experience with SQL and data visualization tools
• Understanding of machine learning algorithms
• Strong statistical analysis skills
• Communication and teamwork abilities
• Daily responsibilities and learning opportunities: Typical tasks include:
• Analyzing large datasets to extract actionable insights
• Building and validating predictive models
• Collaborating with engineering and product teams
• Presenting findings to stakeholders
• Continuous learning through mentorship and internal training
• Mentorship and training provided: Indeed is known for providing mentorship, especially for early-career hires. Expect regular check-ins, access to senior data scientists, and opportunities for professional development.
• Career progression paths after completion: Junior Data Scientists can progress to mid-level, then senior roles, with potential to specialize in areas like machine learning engineering, product analytics, or data science management. Promotion is performance-based, and internal mobility is encouraged.

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Application Success Guide

• Exact application requirements and deadlines: Applications are accepted on a rolling basis via the Indeed careers portal. Requirements typically include a resume, cover letter, and sometimes a portfolio or GitHub link. There is no fixed deadline, but early application is recommended.
• Step-by-step application process:

1. Submit your application online (resume, cover letter, optional portfolio).
2. Complete any online assessments (coding or data analysis tasks).
3. Participate in a phone or video screening with a recruiter.
4. Attend technical interviews (may include case studies or live coding).
5. Final behavioral interview with team members or managers.
6. Receive offer and onboarding details.

• Common interview questions for this specific role/company:
• Explain a data science project you’ve worked on.
• How would you handle missing data in a dataset?
• Describe a time you used data to influence a business decision.
• Technical questions on SQL, Python, or machine learning algorithms.
• Behavioral questions about teamwork and problem-solving.
• Assessment centers or case studies they use: Candidates may be given take-home case studies or live technical assessments focused on data cleaning, modeling, and interpretation. Expect to present your findings and explain your approach.
• What makes a standout candidate:
• Demonstrated technical proficiency (projects, internships, or coursework)
• Clear communication of complex ideas
• Curiosity and eagerness to learn
• Evidence of collaboration and adaptability
• Alignment with Indeed’s mission and values

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Insider Tips

• Company-specific interview tips and what they value: Indeed values candidates who are data-driven, collaborative, and passionate about helping job seekers. Show how your work can impact users and the company’s mission.
• Technical skills vs soft skills priorities: Technical skills are essential, but soft skills—especially communication, teamwork, and adaptability—are equally important for success and advancement.
• Industry knowledge you should demonstrate: Understanding of the online recruitment industry, data privacy, and ethical AI practices will set you apart.
• Questions to ask interviewers to show genuine interest:
• How does Indeed measure the impact of data science projects?
• What are the biggest data challenges the team is currently facing?
• How does the company support professional growth for early-career employees?
• Red flags to avoid in applications/interviews:
• Lack of preparation or generic answers
• Inability to explain technical concepts clearly
• Overemphasis on individual achievements without teamwork examples
• Not demonstrating an understanding of Indeed’s mission

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Practical Information

• Salary/stipend ranges for this level: Median total compensation for Data Scientists at Indeed is around $120,000–$140,000 for junior to mid-level roles, with some variation based on location and experience.
• Benefits package details: Indeed offers comprehensive benefits, including health insurance, retirement plans, paid time off, wellness programs, and remote work flexibility.
• Start dates and program duration: Start dates are flexible and negotiated upon offer. These are full-time, permanent roles rather than fixed-term programs.
• Networking opportunities and alumni connections: Indeed encourages internal networking through employee resource groups, mentorship programs, and regular team events. Alumni often move on to senior roles within Indeed or other leading tech companies.

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Actionable Advice:

• Tailor your resume and cover letter to highlight both technical and soft skills.
• Prepare for both technical and behavioral interviews.
• Research Indeed’s products, mission, and recent news to show genuine interest.
• Practice explaining your data science work to non-technical audiences.
• Reach out to current or former Indeed employees on LinkedIn for insights and potential referrals.