or apply directly on YipitData (Alternative)'s site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 81 days YipitData (Alternative)'s roles stay open a median of 81 days
- Reposted
- No
- Salary listed
- No 11% of YipitData (Alternative)'s roles list one
- Ghost-job risk at YipitData (Alternative)
- high 52 stale, 5 reposted of 53 open
- Hiring momentum
- 72 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-23
Measured from postings appearing on and disappearing from YipitData (Alternative)'s own greenhouse board since 2026-08-03. Full hiring picture for YipitData (Alternative).
About this role
The Data Specialist at YipitData is responsible for developing custom product attribution based on customer needs, utilizing both manual tagging and machine learning tools. This role involves collaborating with corporate retail and brand customers to understand their category structures, ensuring accurate data mapping, and continuously improving processes. The position requires strong technical skills, attention to detail, and the ability to manage multiple projects effectively.
- benefits
- 4/5
- freshness
- 1/5
- career value
- 4/5
- role clarity
- 4/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of YipitData (Alternative) as an employer.
What you need
- 1-4 years of experience in a technical role
- Applied Python, Pyspark, and/or SQL skills
- Proficiency in data analysis, tagging systems, and machine learning tools
- Knowledge of consumer product data and experience with retail or brand data
- Exceptional attention to detail
- Excellent problem-solving and critical-thinking skills
Nice to have
- RegEx experience
- Experience with data management platforms, product attribution systems, or machine learning tools
- Familiarity with data mapping, tagging, and categorization practices
What you get
- Flexible work hours
- Flexible vacation
- Generous 401K match
- Parental leave
- Team events
- Wellness budget
Worth weighing
- The role requires several hours of overlap with US time zones during onboarding and training.
- The position is fully remote but requires availability for meetings with US colleagues.
- The final offer may vary based on multiple factors, including experience and internal benchmarks.
Summarised from YipitData (Alternative)'s posting. Read the full original.
Listed by YipitData (Alternative) on their greenhouse job board, last confirmed open on 2026-10-23. PitchMeAI is not the employer.
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