or apply directly on Workhelix's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 4 days Workhelix's roles stay open a median of 64 days
- Reposted
- No
- Salary listed
- No 75% of Workhelix's roles list one
- Ghost-job risk at Workhelix
- high 6 stale, 0 reposted of 8 open
- Hiring momentum
- 8 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-06
Measured from postings appearing on and disappearing from Workhelix's own greenhouse board since 2026-08-03. Full hiring picture for Workhelix.
About this role
The Data Scientist at Workhelix will own the analytical engine behind their core product, Nucleus, which involves reconciling customer data into a unified model and running analyses to identify AI value opportunities. This role requires writing production code in Python and SQL, building visualizations, and developing internal tools to enhance the analytical capabilities of the organization. The position is an individual contributor role with a clear path to leadership as the team grows.
- benefits
- 2/5
- freshness
- 5/5
- career value
- 4/5
- role clarity
- 5/5
- 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 Workhelix as an employer.
What you need
- 5+ years in data science, applied research, or a closely related field
- Strong programmatic thinking in Python and SQL
- Depth across machine learning, predictive analytics, NLP, and clustering methods
- Experience with modern transformation or semantic layer tooling (dbt, Looker, or similar)
- Working knowledge of causal inference from observational data
- Strong data visualization and narrative skills
Nice to have
- Prior client-facing experience
- Experience with AWS or equivalent
What you get
- Base salary 184-222K + Commission + Equity + Health Benefits
- Competitive compensation package and benefits
- Chance to learn and collaborate with renowned researchers in AI and digital economy
- High-trust, high-autonomy work environment
Worth weighing
- The role is both analytical and production engineering, requiring a balance of skills
- You will be the only data scientist, which means setting the roadmap and priorities yourself
- The position has a clear path to leadership as the team grows
- No specific mention of work-life balance or remote work options
Summarised from Workhelix's posting. Read the full original.
Listed by Workhelix on their greenhouse job board, last confirmed open on 2026-10-06. PitchMeAI is not the employer.
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