Customer Segmentation (Python)
Manager · Data Scientist · Remote · United States
- Company
- Series C subscription commerce company for beauty · 501–1,000 employeesCL-26720 · based in Yuba City
- Where
- Remote · United States
- Format
- Task bundle
- Time needed
- 10–20 h a month
- Start
- Starts next week
- Level
- Manager · 7-12 years
- When you work
- Evenings or weekends
4 professionals have asked about this task321 tasks of this type completed on Deftridge
About this task
This Series C subscription commerce company for beauty (501–1,000 employees) is looking for a manager Data Scientist for a monthly bundle of recurring tasks, 10–20 h a month. Groups of customers that behave alike and can be acted on.
A named list of recurring items keeps the month predictable for both sides. It sells online, so volumes move with promotions and the calendar matters.
The work is fully remote. Any location in United States works, with a few hours of overlap with the team's day. Evenings or weekends are fine, as long as the agreed weekly output is there.
What you deliver
- Segment 200 thousand customers into six groups with a profile and a recommended action for each.
- A named list of items moved to next month, so nothing is lost
- A month-end summary with hours used against the cap
- The monthly list of items completed, each with a link to the result
What a month looks like
- Week 1: intake call and a list of what is due this month
- Weeks 2 and 3: items completed in short sessions
- Week 4: month-end summary and the list for next month
Duration: 12 weeks, with a monthly hours cap. Accepted after the walkthrough. Edits requested within three working days are part of the price.
Tools
Who fits
- 7-12 years of hands-on work as a Data Scientist, or the equivalent mix of roles
- Comfortable working in Python and SQL
- Your own work history stays private; the company sees a first name, your field and a rate
Nice to have
- Comfortable explaining numbers or decisions to a non-specialist reader
- Has worked with a distributed team across time zones
Not included
- On-call availability outside the agreed window
- Travel or work at a fixed location
- Anything that needs a signature in your own name unless the brief says so
How you get paid
- The company prepays Deftridge before your first hour, so payment does not depend on a late invoice.
- Deftridge pays you in USD after the company confirms the hours or the deliverable. The payment date is written in your task agreement.
- You work as an independent contractor: you report your own income, and your recruiter sends the statements your accountant needs.
- You never chase the company. Questions about money go to Deftridge.
What happens after you say you're interested
- Within one working dayA recruiter writes to you to confirm your hours and the rate you want.
- You agree the rateYou and the recruiter fix an exact rate inside the company's range. You decide whether to go ahead.
- With your written OKThe company sees the anonymous profile below. Most companies answer within three working days.
- StartYou sign the task agreement and the company's confidentiality terms through Deftridge, and begin on the date above.
What the company sees about you
First name, field, experience, tools and the hours you offer. Not your surname, your employer or your contact details.
- Experience
- 7-12 years in data & analytics
- Tools
- Python, SQL
- Offers
- 15 hours a month, weekday evenings
- Rate
- $165 an hour, agreed with the recruiter
How this rate compares
The midpoint of this range, $165 an hour, is above the median manager Data Scientist rate in the United States ($160). The shaded band is the 25th to 75th percentile of the market.
All Data Scientist jobs in United States · Data Scientist rates in United States · Data & Analytics jobs
Questions about pay and privacy
The rules are the same for every task. Pricing explains the 15% fee, prepayment and when you are paid; How it works covers matching, what the company sees and side work next to a job.
CL-26720 is the Deftridge code for this company. Its name is shared only after you agree to an introduction, and you decide whether to go ahead.