or apply directly on Make's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 27 days Make's roles stay open a median of 45 days
- Reposted
- No
- Salary listed
- No 0% of Make's roles list one
- Ghost-job risk at Make
- high 12 stale, 0 reposted of 16 open
- Hiring momentum
- 20 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from Make's own greenhouse board since 2026-08-03. Full hiring picture for Make.
About this role
The Senior Data Scientist at Make will focus on translating data science into measurable business value by partnering with various business leaders. Responsibilities include identifying high-impact opportunities, selecting appropriate tools, leading data science projects from conception to deployment, and developing scalable analytics and machine learning solutions. The role emphasizes a pragmatic approach to problem-solving and effective communication with non-technical stakeholders.
- benefits
- 5/5
- freshness
- 4/5
- 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 Make as an employer.
What you need
- 6+ years of experience in data science or analytics
- Proven track record of driving direct business outcomes
- Strong technical foundations in Python, SQL, and core ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch)
- Ability to operate independently and drive projects to completion
- Experience in building, validating, and maintaining scalable analytics and machine learning solutions
- Ability to collaborate effectively with business units and advocate for value-driven data solutions
Nice to have
- Experience in SaaS environments
- Experience building and deploying LLMs and generative AI workflows
What you get
- RSUs grant in a rapidly growing company
- Annual bonus
- Multinational team with 42 nationalities
- Learning & Development plan including online language courses and professional training
- 2 Company Learning Days per year
- 1 Company Impact Day per year
Worth weighing
- No salary listed
- Focus on business outcomes may limit technical exploration
- Role may require navigating complex stakeholder relationships
Summarised from Make's posting. Read the full original.
Listed by Make on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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